QPHI - Precision Health

Page 1

PRECISION HEALTH: Transforming the Future of Healthcare in Qatar

PROGRESS REPORT 2012-2023

PRECISION HEALTH:

Transforming the Future of Healthcare in Qatar

This report is a product of more than a decade of visionary leadership in precision health initiated by Her Highness Sheikha Moza bint Nasser, Chairperson of Qatar Foundation. It was written through a collaboration between key experts across Qatar Foundation’s ecosystem.

The overall coordination of the report as well as consultations, desktop research, and reviews were facilitated by Hanieh Khataee, Strategy and Impact Director with Jessica DuPlessis, Manager of Impact and Advisory Services.

Expert consultations and technical reviews were carried out by members of the editorial committee from Hamad Bin Khalifa University, Qatar Precision Health Institute, Sidra Medicine, and Weill Cornell Medicine-Qatar. We would like to thank the following members of the editorial committee (in alphabetical order) for their invaluable expertise and commitment to this report:

Dr. Omar Albagha – Acting Executive Director of Qatar Biomedical Research Institute and Professor of Genomics and Precision Medicine at the College of Health and Life Sciences, Hamad Bin Khalifa University

Dr. David Brown – Advisor to the Qatar Precision Health Institute Board

Dr. Khalid Fakhro – Chief Research Officer at Sidra Medicine, Professor of Genomics and Precision Medicine at the College of Health and Life Sciences, Hamad Bin Khalifa University

Dr. Mohammed Ghaly – Professor of Islam and Biomedical Ethics at the Research Center for Islamic Legislation and Ethics, College of Islamic Studies, Hamad Bin Khalifa University

Dr. Said I. Ismail – Director of Qatar Genome Programme

Dr. Khaled Machaca – Professor and Senior Associate Dean for Research, Innovation, and Commercialization, Weill Cornell MedicineQatar

Dr. Georges Nemer – Associate Dean for Research at the College of Health and Life Sciences and Professor of Genomics and Precision Medicine, Hamad Bin Khalifa University

We would also like to thank Sultana N. Afdhal, Chief Executive Officer of the World Innovation Summit for Health for her contributions to the report and express our gratitude to our key partners in Qatar:

Dr. Abdulla Al Ansari – Chief Medical Officer, Hamad Medical Corporation

Dr. Jassim Al Suwaidi – Chief of Scientific, Academic and Faculty Affairs, Hamad Medical Corporation

Dr. Salha Bujassoum – Director of Cancer Genetics, Hamad Medical Corporation and Primary Health Care Corporation

PROGRESS REPORT 2012-2023
Transforming the Future of Healthcare in Qatar

Acronyms and Abbreviations

Introduction

Chapter 1:

Bringing the Vision to Life: Over 10 Years of Innovation

1.1 Laying the Foundation: Genome Sequencing

1.2 Standards, Practices and Policy

1.3 Research and Planning

1.4 Disease Prevention and Detection

Chapter 2:

Leveraging Key Advances in Precision Health

2.1 Public Health Efforts

2.2 Enhanced Diagnostics

2.3 Treatment of Rare Hereditary Diseases

2.4 Pharmacogenomics Efforts

2.5 Delivering on the Promise of Precision Health in Qatar

Chapter 3:

Equipping the Precision Health Workforce of the Future

3.1 Shaping Global Discussions

Chapter 4:

Strategic Convening for Policy Advocacy and Global Collaboration

4.1 The World Innovation Summit for Health

Conclusion

Shaping the Future of Precision Medicine

Bibliography

References

Transforming the Future of Healthcare in Qatar
CONTENTS
12 18 20 25 34 38 54 60 66 77 81 02 04 84 90 96 08 30 68 78 *Pictures used are the property of Qatar Foundation (QF).

ACRONYMS AND ABBREVIATIONS

ACMG

American College of Medical Genetics and Genomics

ADHD

Attention deficit hyperactivity disorder

ADOS-2

Autism Diagnostic Observation Schedule, 2nd edition

Hamad Medical Corporation

ISAC ISBER

AI ASD

ISO

Artificial Intelligence

Autism Spectrum Disorder

BBMRI-ERIC

Biobanking Biomolecular Resources

Research Infrastructure-European Research Infrastructure Consortium

HMC International Scientific Advisory Committee International Society for Biological and Environmental Repositories International Organization for Standardization

LDHC

Lactate Dehydrogenase C

LDL-C

Low-Density Lipoprotein Cholesterol

LRBA

MSc

NCCCR

National Center for Cancer Care and Research (HMC) Master of Science

NDDs

Neurodevelopmental Disorders

PCR

Polymerase Chain Reaction

PHCC

Primary Health Care Corporation

PhD

Doctor of Philosophy

PPM

Path towards Precision Medicine

QCRI-HBKU

Qatar Computing Research Institute at Hamad Bin Khalifa University

QF

Qatar Foundation

QGP

Qatar Genome Program

QGPRC

Qatar Genome Program Research Consortium

QBiC

Qatari Birth Cohort Study

QNRF

Qatar National Research Fund

QPHI

Qatar Precision Health Institute

Body Mass Index

CHLS

College of Health and Life Sciences at Hamad Bin Khalifa University

CSE-HBKU

College of Science and Engineering at Hamad Bin Khalifa University

BMI DNA

Deoxyribonucleic Acid

Lipopolysaccharide-Responsive Beige-Like Anchor Protein Gene

PPP

Public-Private Partnership

QTRG

Qatar Reference Genome

Doctor of Medicine

MD MODY

Maturity-Onset Diabetes Of The Young

MoPH

Ministry of Public Health (State of Qatar)

MoU

PRS

Polygenic Risk Score

QBB

Qatar Biobank

Q-BIG

Qatar BioInformatics Group

RNA

Ribonucleic Acid

SMA

Spinal Muscular Atrophy

Food and Drug Administration (United States)

FDA GBMI

Global Biobank Meta-Analysis Initiative

Memorandum Of Understanding

MRI

Magnetic Resonance Imaging

Qatar Biomedical Research Institute at Hamad Bin Khalifa University

QBRI-HBKU Q-chip

Qatar Chip

Translational Cancer and Immunity Center

World Health Organization

WHO WISH TCIC

World Innovation Summit for Health

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS
INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 02 03

INTRODUCTION

In Qatar, we are drawing on the power of precision health to reimagine our healthcare system. Our agenda is to optimize patient outcomes by detecting the onset of disease early, preempting the progression of disease, and providing targeted care and treatment options for individual patients. In doing so, we are shifting from a conventional one-size-fitsall healthcare delivery model to a precision healthcare system that is prevention-based, cost-effective and patient-centered.

Precision medicine goes beyond disease symptoms to address the causes of disease, and it integrates data on the individual’s genetic makeup, molecular profiles, and other factors into clinical decision-making. Datadriven precision medicine will disrupt the way healthcare is provided around the world, but specifically in Qatar. Routine genetic screening, for example, could lead to a future where fewer Qataris suffer from chronic ill health or die prematurely. We now have a deeper understanding of complex chronic diseases and inherited conditions, and we are better able to diagnose and treat Qataris at

much earlier stages of disease progression than was possible using our current, symptom-driven models of care.

Human genome research has long used a Eurocentric lens, narrowing the possibilities of science and discounting people’s genetic diversity. Recognizing this gap, Qatar Foundation (QF), through the research capabilities of Sidra Medicine and Weill Cornell Medicine-Qatar, began genomic research to better understand the health of Qatari and Arab populations. One result of this work was the formal establishment of the Qatar Biobank (QBB) in 2012, and the Qatar Genome Program (QGP) in 2014, to further generate evidence and develop systems and tools for genomics and precision medicine in Qatar. The scope of work offers an opportunity to integrate research and evidence into health centers, clinics, and other service delivery platforms. Such advances demonstrate that precision medicine has the potential to optimize health outcomes in Qatar and throughout the Middle East.

05
ACRONYMS AND ABBREVIATIONS CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION INTRODUCTION

QF’s introduction of precision health is part of a broader government strategy to deliver world-class healthcare in Qatar. The Government of Qatar aspires to transform the health system; it seeks to do more than simply treat the symptoms of disease but to create a sustainable healthcare ecosystem in which advanced treatments are made available to all those who need them – but only as a last resort, if active prevention and early intervention measures did not achieve good outcomes for the patient (National Health Strategy, 2018–2022). Indeed, QF’s work with national partners demonstrates a shared commitment to giving Qataris a better chance to survive, be healthy, and ultimately realize their full potential.

This report, PrecisionHealth:Transforming theFutureofHealthcareinQatar , charts QF’s progress towards achieving a medical

and scientific vision for precision health. It documents our efforts in longitudinal, populationbased, deep-phenotypic profiling and genome sequencing – and captures new knowledge and understanding that we have acquired in the process – for the purposes of advancing genomic and precision medicine in healthcare settings in Qatar and the Middle East. The report describes how we are applying precision medicine and exploring new therapies for the treatment of critically ill children with rare genetic disorders and complex diseases, as well as developing personalized medicine to address the needs of adults and children with a range of conditions. The wide range of achievements include QF’s contributions to the national and global COVID-19 public health response, which advanced both diagnostic capacity and disease surveillance, and evaluated vaccine efficacy for new COVID-19 variants. Numerous studies published by QF and its partners that contribute to global science –the results of this extensive work and research over the past 10 years – are contained in the bibliography at the end of this report.

PrecisionHealth:TransformingtheFuture ofHealthcareinQatar highlights our multidisciplinary genomic and precision medicine research and innovations with some of the world’s leading institutions, which have brought international recognition to QF and solidified our reputation as a leader in innovative healthcare and knowledge.

In consideration of the shift to a precision health approach, the report examines efforts to equip our workforce to adapt to a new mode of working and keep up with the pace of technological changes. In addition, the report covers our pivotal role in shaping global discussions around ethical and policy aspects of healthcare innovations.

ACRONYMS AND ABBREVIATIONS CHAPTER 1 CHAPTER 2 REFERENCES 06 07 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY INTRODUCTION

CHAPTER 1

BRINGING THE VISION TO LIFE: OVER 10 YEARS OF INNOVATION

09 ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 1

CHAPTER 1

BRINGING THE VISION TO LIFE: OVER 10 YEARS OF INNOVATION

For the past 10 years, QF has been working closely with the Ministry of Public Health (MoPH), healthcare providers, and research and academic institutions to set the stage for the implementation of precision health. A shift to a precision healthcare system that personalizes a patient’s treatment – based on their genes and lifestyle, and environmental factors – has the potential to reduce the impact of a diagnostic odyssey for many Qatari families.

Reports from the Middle East have raised concerns about the higher burden of chronic diseases in Qatar and the rest of the Gulf region compared to rates in the developed world (Fahed et al. 2012; Mabry et al. 2010; Forouzanfar et al. 2015). Almost half of Qataris are at high risk of developing chronic diseases (WHO 2015). Rapid economic growth has resulted in notable changes in lifestyle

behaviors. Despite Qatar’s young population (the median age was 30 years old in 2012) and its wealth and economic prosperity, there has been an increase in the prevalence of noncommunicable diseases (WHO 2015).

A recent population-based genomic analysis by QF found that Qataris have a diverse genetic background of different ancestries, representing general Arabs, African Arabs, Peninsular Arabs, Persian Arabs, South Asian Arabs, and admixed Arabs (Razali et al. 2021). The rate of consanguineous and tribal marriages is high, which consequently leads to clustering within families of globally rare diseases at an elevated prevalence. Similar clustering within families of complex conditions such as obesity and metabolic syndrome are further compounded by unhealthy dietary habits and generally sedentary lifestyles.

One of the major goals of precision health is to optimize medical care for specific individuals based on their genetic and molecular profiles. In this chapter we focus on QF’s pivotal role and contributions in this area. Specifically, QF has been a catalyst for foundational research and the development of tools to advance precision health and translate new knowledge into practice, and for implementing clinical initiatives and developing replicable processes to introduce precision health services within the healthcare system. Our unique ecosystem and partnerships with national and international stakeholders have helped to advance research, evidenced

by the many articles published by QF scientists and our local and international collaborators in reputable journals, such as The Lancet, New England Journal of Medicine, and Nature. This ecosystem allows for a multidisciplinary, collaborative, and specialized approach at national and international levels. Furthermore, our investments in the latest technology infrastructure and in human capital have resulted in high throughput analyses, sequencing capabilities and biobanking resources not only for Qatar, but also for the region and worldwide.

WE ARE SHIFTING FROM A CONVENTIONAL ONESIZE-FITS-ALL HEALTHCARE DELIVERY MODEL TO A PRECISION HEALTHCARE SYSTEM THAT IS PREVENTION-BASED, COST-EFFECTIVE AND PATIENT-CENTERED.
Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 2 REFERENCES 10 11 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 1

1.1 LAYING THE FOUNDATION: GENOME SEQUENCING

QF provided a platform for local researchers and their international partners to fasttrack the generation of credible, locally relevant evidence and tools for precision medicine in Qatar. New and rapidly emerging knowledge about the Arab population is influencing local and international decisions on the wider application of genomics and precision medicine approaches and tools for populations and subgroups in various geographies.

The Qatar Biobank, created for research purposes, established the first and only population-based longitudinal cohort study at a national level in the Middle East. It is an accredited biobank and one of the largest globally. QBB now holds more than 2,000,000 biological specimens (blood, saliva, urine, DNA, RNA, and viable cells) and molecular data profiles derived from its cohort participants, including data on genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Deep phenotypic profiling and imaging are available to researchers for more advanced analytics to inform personalized predictions of health. Population-based, whole-genome sequencing to characterize the Qatari and Arab genome, and association studies conducted across a range of diseases, medicines, and traits, are main outcomes of such research.

Establishing the QBB population cohort of healthy adult volunteers has enabled us to collect and store multiple high-quality biological specimens and data, including socio-demographic information, physical measures, health and lifestyle factors, medical history, and blood measurements from the large cohort. Researchers are using these specimens and data to conduct largescale genomic research that is relevant to precision medicine. QBB has established a research portal to facilitate research applications, agreements (material transfer agreements, non-disclosure agreements, etc.), and data sharing.

In 2021, our biobank imaging team, in collaboration with Weill Cornell MedicineQatar, introduced magnetic resonance imaging (MRI) scanning of the brain and whole body, corneal confocal microscopy data, and vibration perception threshold measurements to the database.

MAPPING THE QATARI GENOME AT A POPULATION LEVEL

In the Middle East and globally, Qatar is considered a pioneer in its decision to map the Qatari genomic architecture at the population level, alongside earlier work undertaken by Weill Cornell Medicine-Qatar to map the population structure of Qatar. Qatar Genome Programme (QGP) was created to study and analyze the specimens and data from the large QBB population cohort. The analyses conducted include whole-genome sequencing, genome-wide association studies, polygenic risk scores (PRS), and various other omics (proteomics, transcriptomics, metabolomics, epigenomics, and microbiomics). The data generated has provided researchers and healthcare providers with unparalleled new insights at the molecular level into the Qatari Arab population as well as other Middle Eastern and Arab communities that are of high relevance to precision health.

Currently, the database contains more than 40,000 whole genomes belonging to Qataris as well as Arabs from the Middle East and North Africa. Although the biobank cohort participants are mainly made up of healthy Qatari men and women (76 percent), their genotypes show that they represent variable ancestry populations from throughout the wider Arab region. Non-Qatari participants are from Bahrain, Jordan, Oman, and the United Arab Emirates; their data are also included in the QGP dataset to allow for broader analyses. In addition to omics data, the dataset also contains deep phenotypic data, including blood work results, multiple imaging scans, electrocardiogram test results, and bonedensity scans.

12 13 Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 1

RESEARCH AND STUDIES IN GENOME SEQUENCING

To date, our research findings have prompted us to invest in establishing disease-focused cohorts and in further studies that will address critical knowledge gaps and facilitate

the translation of evidence into healthcare guidelines. Some of the publications are highlighted below. For all publications cited in this report, please refer to the bibliography.

IDENTIFYING

THE

QATAR GENOME VARIANTS AT THE SUBPOPULATION LEVEL

QGP – in collaboration with the College of Health and Life Sciences at Hamad Bin Khalifa University (CHLS-HBKU), Weill Cornell Medicine-Qatar, Qatar University, Sidra Medicine, and HMC – conducted sequencing of over 6,000 whole genomes from the QBB population cohort in phase 1 of the study (Mbarek et al. 2022). They identified more than 88 million variants, of which 24.6 million (28 percent) were novel to the Qatari population, not previously reported, or not included in existing global databases. They also found that the

population distribution of the variants was variable, with most (70 percent) of them existing within specific population clusters. These findings highlight the distinct nature of the Arab population and the influence of cultural practices such as consanguineous marriages. This research also confirmed the value of population-based whole-genome sequencing for public health in targeting health delivery and differentiating precision medicine approaches among populations.

CONSTRUCTING THE

FIRST QATAR REFERENCE GENOME FOR THE ARAB POPULATION

Maximizing the benefit of precision medicine depends on the quality of genome interpretation. To improve interpretation, the Qatar Reference Genome (QTRG) was constructed in 2016 by Sidra Medicine in collaboration with Weill Cornell MedicineQatar, Weill Cornell University-New York, and Hamad Bin Khalifa University (HBKU).

QTRG is the first population-specific reference genome for the indigenous Arab population of Qatar.

In constructing the QTRG, the researchers incorporated allele frequency data derived from sequencing genomes from 1,161 Qataris at Hamad Medical Corporation (HMC) and Primary Health Care Corporation (PHCC) health centers, to improve the performance of the standard reference

genome (GRCh37). Utilizing the QTRG vis-à-vis the standard reference genome allowed a higher level of genome interpretation, and the researchers were able to compile a catalog of known pathogenic mutations in Qatar, including genomic coordinates on both the GRCh37 and QTRG. Availability of the QTRG should enable doctors to personalize treatment of Arab patients using precision medicine by incorporating information about a patient’s genome in the prediction, diagnosis, and treatment of diseases. The authors of the study (Fahkro et al. 2016) recommend the use of QTRG for comparisons across large samples of genomes that may be obtained through public databases. They further note that the QTRG will need to be modified for single-patient use.

UNDERSTANDING THE

GENOMIC ARCHITECTURE OF ARAB SUBPOPULATIONS IN THE MIDDLE EAST

Given the unique genetic nature and history of the Arab population, Qatar is an excellent proxy for the wider Arab region. This was first described in a landmark QTRG paper (Fahkro et al. 2016) and was followed by a QGPRC study published by Sidra Medicine in collaboration with Weill Cornell MedicineNew York, Weill Cornell Medicine-Qatar and HBKU (Razali et al. 2021). They used QBB samples to analyze the genome of Qataris in relation to the history of admixture and migration in the region. They concluded that ancient populations in the Arab Peninsula played a far more important role in the history of early human migration than was

previously understood. These ancestries contributed significantly to gene flow among European, South Asian as well as South American populations, likely because of Islamic expansion over the past 1,400 years. The researchers used the data obtained through the QBB samples to build a reference panel dedicated to Arab populations. Prior to the study, the data had been missing for the region. The reference panel can be used to profile ancestries and provides additional insights for precision medicine program design and targeting for the wider region.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 2 REFERENCES 14 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 15 CHAPTER 1

ESTIMATING

ACTIONABLE VARIANTS IN THE SEQUENCING OF QATARI WHOLE GENOMES

In clinical settings, whole-genome sequencing can uncover findings unrelated to the rationale for genetic testing. The American College of Medical Genetics and Genomics (ACMG) recommends the evaluation and reporting of 59 genes from genomic sequencing in healthcare settings.

QGPRC studied medically actionable variants in the 59 ACMG genes, using whole-genome sequencing data from

biobank participants; the study was led by HBKU in collaboration with HMC and others (Elfatih et al. 2021). They identified a total of 298 variants, of which 60 were likely actionable variants. Overall, 2.3 percent of the QBB cohort sequence carried a pathogenic variant or likely pathogenic variant in one of the 59 ACMG genes. Variants associated with cancer were the most frequent (35 percent).

PARTNERING WITH PLATFORMS

QF has a strong track record of partnering with platforms that enable researchers to produce critical findings using precision medicine. The Anti-Doping Lab Qatar and Weill Cornell Medicine-Qatar joined forces to establish a commercial Metabolon metabolomics platform, used to conduct metabolomics analysis for samples submitted by researchers and enabling Qatar to have access to the latest in technology in the fight against doping in sport. Weill Cornell Medicine-Qatar also established a SomaLogic proteomics platform to empower proteomics analyses in personalized medicine. These platforms have enabled scientists to carry out valuable and meaningful research that is locally relevant and contextualized to the national and regional context. The following are three such examples:

• The first genome-wide association study with proteomics in an Arab population,

investigating the translatability of PGS between populations using data from the QBB (Thareja G et al. 2023).

• Researching clustered samples from QBB of people with type 2 diabetes, scientists uncovered metabolic and proteomic characterization that applies to the Arab population. This work helps to advance a precision medicine approach to the treatment of patients with type 2 diabetes (Zaghlool SB et al. 2022).

• The identification of human knockouts of genetic variants using metabolomics and proteomics can lead to the discovery of new treatments for diseases. This research showed that QBB has 168 times the potential to identify PCSK-9 like drug targets compared to The Genome Aggregation Database (or gnomAD) and highlights the value of studying consanguineous populations to enable such discoveries (Belkadi A, 2022).

TRANSITIONING

TO CLINICAL IMPLEMENTATION

Accessible genomic data and their discoveries can be used as basis for evidence in healthcare settings to improve patient outcomes. On the ground, the work of translating the evidence base at major clinical sites was led by HMC in treating adults and by Sidra Medicine in treating children. The main publications in this domain from Qatar included a paper on the first assessment of Mendelian risk in the general population (Rodriguez-Flores et al. 2014) and a publication on the first Mendelian Program (Al-Dewik et al. 2018).

A number of high-impact studies in the last five years covered disorders as wideranging as hypercholesterolemia, immune

dysregulation, diabetes, autism, and cancer (Diboun et al. 2022; Roelands et al. 2021; Elashi et al. 2022; Yousri et al. 2022; Ahmed et al. 2023; Abdi et al. 2023; Al-Sarraj et al. 2021; Alsamman et al. 2022). The Qatar Precision Health Institute (QPHI) and MoPH are working together to transition precision medicine endeavors from a basic research focus to clinical implementation, capitalizing on the wealth of data and knowledge generated by QF. In Chapter 2, we highlight the significant precision medicine clinical projects being implemented that would not be possible without an appropriate regulatory environment.

16 17
the Future of Healthcare in Qatar
Transforming
ACRONYMS AND ABBREVIATIONS INTRODUCTION REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 1

PRACTICES AND POLICY

MAINTAINING

QUALITY STANDARDS AND INTERNATIONAL ACCREDITATION

In 2022, QF’s accomplishments were recognized by the International Society for Biological and Environmental Repositories (ISBER). QBB has attained International Organization for Standardization (ISO) certification by ISBER for biobank biotechnology standards (ISO 20387) in 2022, after receiving ISO certifications for

quality management systems (ISO 9001) in 2015 and information security management systems (ISO 27001) in 2013. In late 2022, Qatar was granted observer status in the Biobanking Biomolecular Resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC).

QBB’s laboratories are accredited by the College of American Pathologists.

DRAFTING

POLICIES AND REGULATION

Biobanking and genomic testing present legal and ethical considerations that are a main priority for any national program seeking to ensure the protection of its human subjects. QF has led the way in this field, by producing guidance on ethical and regulatory issues related to research and the implementation of data-driven precision medicine at a national level, in consultation with the College of Islamic Studies at HBKU.

In 2017, QF and MoPH produced Guidance for the Design, Ethical Review, and Conduct of Genomic Research in Qatar, which contains a regulatory framework for investigators and institutional review boards and for use in research activities related to genomics (MoPH 2017). The guidance highlights the risks associated with genomic research and data sharing, including privacy, psychological and social risks, and how to

mitigate them. It also provides considerations on such ethical issues as the sharing of study results with subjects; disclosure of incidental findings and obtaining informed consent about current and future studies; the sharing of data samples; and the use of samples for scientific discovery, including for purposes of drug intervention.

Through the World Innovation Summit for Health (WISH), QF thought leaders have drafted several thematic documents to guide our precision medicine implementation in research and clinical settings and to inform related policy, for example, Genomics in the Gulf Region and Islamic Ethics (WISH 2016); Precision Medicine: A Global Action Plan for Impact (WISH 2016); and The Future of Medicine: Healthcare Innovation through Precision Medicine (Qoronfleh et al. 2020).

Transforming the Future of Healthcare in Qatar 19 1.2 STANDARDS,
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 2 REFERENCES 18 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 1

1.3 RESEARCH AND PLANNING

SPEARHEADING

NATIONAL GENOMICS RESEARCH EFFORTS

In 2016, QF established the Qatar Genome Program Research Consortium (QGPRC), the first and largest of its kind in the Middle East. The consortium is managed by QGP and made up of 150 scientists from QGP, QBB, Sidra Medicine, HMC, Weill Cornell Medicine-Qatar, HBKU, and Qatar University, as well as international investigators from institutions such as the Center for Genomic Regulation, Institut Pasteur, National Institutes of Health (United States), Oxford University, Stanford University, University of Trieste, University of Tubingen, and the Wellcome Trust.

The consortium has successfully created multidisciplinary research teams to mine the large genomics and phenotypic data

produced by QF to identify key features of the Qatari genome. The findings and outcomes of this research are being applied to the clinical implementation of precision medicine in Qatar. In recent years, these outcomes include published articles describing the characteristics of the Qatari reference genome and distribution in population substructures; medically actionable genomic variants; the genomic landscape of familial cancers; and pharmacogenomic variants in this population. Notably, these articles appear in high-impact journals thus addressing a long-standing gap in the literature on the genomics of Qatari and Arab populations.

QGPRC SCIENTISTS 150

Entities in Qatar

QGP, QBB, Sidra Medicine, HMC, Weill Cornell Medicine-Qatar, HBKU, and Qatar University

International Investigators

Center for Genomic Regulation, Institut Pasteur, National Institutes of Health (United States), Oxford University, Stanford University, University of Trieste, University of Tubingen, and the Wellcome Trust

20 Transforming the Future of Healthcare in Qatar 21
CHAPTER 1 ACRONYMS AND ABBREVIATIONS INTRODUCTION REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

GENOMICS AND BIOINFORMATIC RESEARCH STRUCTURES FOR SUCCESS

QF biomedical research projects are usually conducted by multidisciplinary teams with both local and international research institutions to foster collaboration, leverage existing processes, and harmonize study designs and protocols. In 2015, QF’s joint efforts with the Qatar National Research Fund (QNRF) led to the establishment of a genomic research funding mechanism called Path towards Precision Medicine (PPM). Under this mechanism, grants are awarded annually to research teams and investigators. These PPM research grants capitalize on genomic and phenotypic data produced by QF, allowing researchers to further elaborate disease phenotype/ genotype correlations, and they have been used to translate findings into guidance, new therapies, and tools to apply to precision medicine in Qatar.

Our biobank supports over 400 research projects, either as part of international consortia or as PPM projects in addition to PhD, MSc, and undergraduate research.

To further amplify the reach and impact of this research, strategic partnerships were forged early on. For example, we signed a memorandum of understanding (MoU) with Genomics England for researchers to share knowledge and experience, and many of our researchers have benefited from being part of Genomics England Clinical Interpretation Partnership domains. These collaborations have helped to catalyze research in Qatar. Most of the studies are informed by more advanced research groups, including those affiliated with UK10K in the United Kingdom, and genome projects in Iceland and the Netherlands, among others. Technological advancements have

enabled QF to conduct whole-genome sequencing to determine genetic variations of disease-causing genes and identify variants impacting disease progression and responses to therapies. Investment in modern, high-technology equipment –automated for high volume of throughput – has enabled both short-read and longread sequencing of billions of base pairs per day. Consequently, this technology has catalyzed genomic knowledge of the Arab region, with study results published in top scientific journals.

BUILDING

A NATIONAL GENOMIC DATA NETWORK BY CAPITALIZING ON GENOMIC AND PHENOTYPIC DATA

To manage the high volume of data and computational requirements, Sidra Medicine has implemented a computing platform for genome data management and bioinformatics incorporating highperformance computing for data analytics. Researchers can request access to whole-genome sequence data by submitting an application to QF through the biobank website.

To maximize use of bioinformatics resources in Qatar, we formed the Qatar BioInformatics Group (Q-BIG). The group meets regularly to share ideas and forge partnerships with healthcare and biomedical research stakeholders. QF provides support for bioinformatics, data production, and data analyses in their research and clinical projects. Additionally, QF is establishing the Disease Genomics Database to allow data sharing, genomic

research, and discovery of diseases among researchers, with the goal of making such research a national priority in Qatar and the region. The database supports researchers within healthcare and research institutions to generate comprehensive genotyping, sequencing, and other relevant genomic data for their respective cohorts from their clinical samples, subsequently making these data available for the wider research community.

In addition to the analytical infrastructure supported by collaborating institutions, several large datasets from precision medicine projects are also analyzed at HBKU. The capacity at HBKU allows for data to be distilled using artificial intelligence (AI), to highlight interventions, including treatment choices, and other information that could be important for an individual’s health.

Transforming the Future of Healthcare in Qatar 22 SUPPORTING
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 2 REFERENCES 23 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 1

QF is part of the Global Biobank MetaAnalysis Initiative (GBMI), a collaborative network integrating 23 large biobanks from four continents, representing more than 2.2 million consenting individuals (Zhou et al. 2022). QBB has reached approximately 43,000 participants in the population cohort study, which represents over 10 percent of

the Qatari population. This is the first time that the Arab population is part of such a global initiative. Given the small population in Qatar, this collaboration will greatly enhance genetic discoveries with specific phenotypes common in Qatar, across ancestries, and for new drug candidates.

1.4 DISEASE PREVENTION AND DETECTION

PREDICTING DISEASE SUSCEPTIBILITY IN EARLY CHILDHOOD AND LATER IN LIFE

In 2018, QF and MoPH, in collaboration with PHCC, Qatar University, and Sidra Medicine, established the Qatari Birth Cohort Study (QBiC) to evaluate how genomic, nutritional, and social factors impact children’s health in early childhood and later in life. This study, the first mother-child cohort study of its kind in the Middle East, builds on the assumption that an adverse uterine environment related to maternal dietary or other causes, or placental insufficiency, impacts neonatal outcomes as well as susceptibility of the fetus to later development of cardiovascular or metabolic diseases (Sadoun et al. 2017).

Obesity, hypertension, insulin resistance, and type 2 diabetes all are common conditions in Qatar.

QBiC aims to enroll and follow 3,000 pregnant women and their children longitudinally from birth until 5 years of

age. Pregnant women who have lived in Doha for 15 years and are receiving prenatal care at PHCC clinics are invited to participate together with their husbands. Information from women participating in the study is collected with their consent on several factors related to sociodemographic characteristics, dietary habits, and occupational/environmental exposure. Maternal characteristics on anthropometric measurements, spirometry, and blood pressure are assessed; biological samples (blood and urine) are collected in each trimester of the pregnancy, and cord blood is collected at delivery. Fathers are also asked to provide biological samples. The study has been reviewed and ethically approved by the Institutional Review Board of the QBB Ethics Committee, and the data generated are stored in an integrated data warehouse for future research.

24 25 Transforming the Future of Healthcare in Qatar PARTICIPATING IN
THE GLOBAL BIOBANK META-ANALYSIS INITIATIVE
ACRONYMS AND ABBREVIATIONS INTRODUCTION REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 1

DETERMINING THE

GENETIC RISKS ASSOCIATED WITH CLINICALLY RELEVANT TRAITS

In most settings, clinical decision-making is based on clinical laboratory tests. However, genetic variability within and between populations is not well understood. To aid understanding, genome-wide association studies have provided new insights into genetic determinants of many clinically relevant traits. QBRI-HBKU and Weill Cornell Medicine-Qatar published the first such study conducted on clinically relevant traits using whole-genome sequencing from the Middle East (Thareja et al. 2021). The researchers examined data from 6,100 biobank specimens from phase 1 and conducted genome-wide association studies on 45 clinically relevant traits.

Heritability estimates showed significant differences across populations, suggesting these were driven by genetic differences. For example, cholesterol and body mass index (BMI) heritability estimates were lower among Qataris compared to Europeans, while the prevalence of obesity in Qatar is among the highest in the world. The study provided new insights into the genetic architecture of clinical laboratory tests; it not only reported hundreds of replicated genetic variations, but it also identified genetic variations that are specific to the population of Qatar. The study also showed that findings from genetic studies in European populations do not translate well when applied to populations in the Middle East. This underscores the need for further studies to define the genetic architecture of diseases in our region that can facilitate future implementation of precision medicine.

A recent analysis of QBB cohort data found that being overweight and obese is a major health problem among both men and women enrolled in the study (QBB Annual Report, 2022-2023). This is in addition to high cholesterol, hypertension, diabetes, asthma, and arthritis self-reported by many of the study participants, and hypothyroidism commonly self-reported by women. Vitamin D deficiency was prevalent in both men and women, with 18 percent of the cohort having severe deficiency and 67 percent having mild to moderate deficiency. These findings align well with some of the reasons for medical referral of cohort participants to the two medical services designated for the study, HMC and PHCC. The main reasons were osteopenia (36 percent), dyslipidemia (15 percent), diabetes (12 percent), thyroid function tests (10 percent), and osteoporosis (5 percent). The analysis and its findings are already providing insights for prioritizing timely and comprehensive interventions and personalized care, as with the environmental and lifestyle changes that need to be made, and for investment in further genomic and other omic analysis.

36% 12% 10% 5% Osteopenia MAIN REASONS FOR QBB COHORT REFERRAL TO HMC AND PHCC Diabetes Thyroid function test Dyslipidemia Osteoporosis 15% ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 2 REFERENCES 26 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 27 CHAPTER 1

ANALYZING POLYGENIC RISK SCORES TO PREDICT VARIATIONS IN PREDISPOSITION TO CANCER IN QATARI SUBPOPULATIONS AND TO PROVIDE A MEASURE OF DISEASE RISK DUE TO GENES

Polygenic risk scores (PRS) measure the risk of disease, such as cancer, associated with pathogenic variants. We know from recent reports that cancer rates in the Middle East have increased (Arafa et al. 2020; Arafa and Farhat 2022), and the risk of developing cancer may vary according to race, ethnicity, and ancestry. However, most genome-wide studies and analyses of PRS are conducted on people of European ancestry. Genome data from Qatar represent six distinct ancestry groups (general Arabs, African Arabs, Peninsular Arabs, Persian Arabs, South Asian Arabs, and admixed Arabs), as reported in the study by Razali et al. 2021

To respond to this knowledge gap, HBKU and collaborators – at Sidra Medicine, Weill Cornell Medicine-Qatar, Weill Cornell University-New York, Janssen Research and Development in Paris, and the University of Naples – conducted a large-scale study using phase 1 whole genomes in over 6,000 biobank specimens (Saad et al. 2022). PRS were optimized from the Cancer Genome Atlas to assess risk for the most common cancers found in Qatar (breast, colorectal,

and prostate cancers). Rare genetic variants in 1,218 known cancer-related genes were also assessed for pathogenicity and actionability among the various genetic subpopulations of Qatar.

The PRS study confirmed a high degree of heterogeneity in risk for common cancers in the six ancestry groups. Qataris of Peninsular Arab ancestry showed the lowest PRS for colorectal cancer, while those of African ancestry showed the highest average for prostate cancer. A cancer gene variant analysis identified 70 Qataris (1.2 percent of the cohort) carried pathogenic variants or likely pathogenic variants. Breast cancer was overrepresented in Qataris of Persian ancestry and completely absent in those of Peninsular Arab ancestry. These data provide important insights for the stratification of screening approaches for precision medicine in healthcare settings. The researchers called for evaluations of disease-centered variant data in the region to be pooled and further validated through meta-analysis for additional insights.

EVALUATING NON-ARAB POLYGENIC RISK SCORES

TO DETERMINE RISK OF CORONARY HEART DISEASE AMONG QATARIS

The performance of six non-Arab PRS platforms was evaluated by QF, HMC, and the Mayo Clinic in the United States (Saad et al. 2022) for their applicability in predicting risk of coronary heart disease in Qatari patients. The researchers conducted a genome-wide association study involving 1,067 coronary heart disease cases and 6,170 controls from the biobank population.

LEVERAGING THE

QATAR GENOME PROGRAM FOR COVID-19 RESEARCH AND THE PUBLIC HEALTH RESPONSE

COVID-19 research and the pandemic response in Qatar are examples of the additional value of the genotypic and phenotypic data platform for public health in Qatar. QF was able to pivot the genomic program investment in both human capacity and technology to COVID-19 research. Early in the global pandemic response, QGP became part of the International Scientific Community’s COVID-19 Host Genetics Initiative, mandated to study and provide insights on the genetics of COVID-19, including among Arab subpopulations.

QF and partners published several studies on the COVID-19 pandemic. In their 2021 study characterizing the outbreak, for example, Qatar University, MoPH, Weill Cornell Medicine-Qatar, Weill Cornell University-New York, HMC, and the World Health Organization (WHO) reported that despite restrictions on international travel imposed as a national response

Weill Cornell Medicine-Qatar in collaboration with MoPH and HMC was among the first to report on vaccine efficacy of subsequent dosing to protect against new COVID-19 variants (Chemaitelly et al. 2022) and the importance of polymerase chain reaction (PCR) testing for travelers to determine the profile of those infected after travel (Bertollini et al. 2021). They found that the PRS platform obtained from European ancestry performed well compared to others, and they recommended that the platform could be used in clinical settings while Qatar-specific PRS are being developed. This is an important recommendation for catalyzing the application of PRS in precision medicine.

during the study year, the viruses found in the population mirrored nearly those of the entire global population’s genomic diversity, and there were a number of genetic deletion mutations (Benslimane et al. 2021). An earlier study by HBKU and collaborators determined that the multiple variants of COVID-19 in Qatar varied significantly among the subpopulations. These results confirmed the need for a policy that supports continued surveillance of coronavirus characteristics as part of the national public health response in Qatar.

28 29 Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 1

2

ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 30 31 CHAPTER 2
CHAPTER
Leveraging Key Advances in Precision Health

CHAPTER 2

LEVERAGING KEY ADVANCES IN PRECISION HEALTH

Precision medicine is accelerating innovation and paving the way for a future in which doctors in Qatar can treat complex and rare diseases. QF clinical and research efforts are being fueled by a deeper understanding of the genomic features underlying health and disease in the local population, as well as insights into lifestyle choices and the environment. At QF’s tertiary hospital, Sidra Medicine, children with genetic disorders are being diagnosed and managed with life-saving treatments and care, enabling interventions at much earlier stages. This is just a snapshot of the potential of the precision medicine approach.

QF is merging ongoing biomedical research with clinical and social support initiatives to advance precision medicine, all managed

and coordinated by the newly formed Qatar Precision Health Institute (QPHI). QPHI’s oversight management is supported by a Clinical Council that advises on clinical priorities and implementation modalities. An International Scientific Advisory Committee (ISAC), made up of reputable scientists and specialists from around the world, guides QPHI’s overall strategic direction. QPHI is working to reduce fragmentation among the various efforts being implemented, while maintaining core capacities at QF and in partner institutions where necessary. A key objective for QPHI is to develop repeatable processes for translating precision medicine in priority areas and diseases, including reference datasets for research and clinical decision support in the immediate as well as the long term.

HIGHLIGHTING SOME OF THE CLINICAL EFFORTS THAT WE ARE UNDERTAKING IN THESE FOUR THEMATIC AREAS:

32 Transforming the Future of Healthcare in Qatar
33
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

2.1 PUBLIC HEALTH EFFORTS

TYPE 2 DIABETES AND CARDIOMETABOLIC DISORDERS

TYPE 2 DIABETES AND CARDIOVASCULAR DISEASES

are the leading causes of morbidity and mortality in Qatar (Al Thani 2017), and they pose significant public health challenges in Qatar. The spectrum of disorders related to type 2 diabetes in Qatar includes coronary artery disease along with cardiovascular disease, hyperglycemia, hyperlipidemia, hypertension, renal failure, and retinopathy. Type 2 diabetes accounts for about 50 percent of renal failure patients requiring dialysis, 50 percent of acute coronary vascular disease, and 70 percent of stroke and transient ischemic attack cases. Using data from the QBB large-population cohort, QF estimated that around 20 percent of Qataris have type 2 diabetes and over 40 percent are obese (National Diabetes Committee and MoPH 2022).

QF is collaborating with PHCC to provide patients with comprehensive wellness, lifestyle, and genomic reports through the PHCC Wellness Program. These reports include advice on the changes patients need to make regarding diet and eating habits, potential food reactions, exercise, and metabolic disorder risk factors. Genomic counseling is offered, and follow-up support is provided to patients who need help with exercise and dieting, smoking cessation, blood pressure monitoring, and adherence to medications. Similarly in collaboration with QF, the PHCC Smart Health Check Program integrates preventive screening for common chronic, metabolic, mental, orthopedic, hematologic, and cardiovascular illnesses.

ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES 34 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 35 CHAPTER 2

Complementary to these public health efforts, QF is supporting genomic and molecular studies that are generating new insights into cardiometabolic disorders. One such study – by Weill Cornell Medicine-Qatar, Sidra Medicine, HBKU, and international collaborators (Yousri et al. 2022) – collected data from almost 1,000 Qatari adults with type 2 diabetes. The researchers identified 373 metabolites associated with type 2 diabetes, obesity, retinopathy, dyslipidemia, and lipoprotein levels, of which 161 were

novel and had never been reported before. These metabolites are potential biomarkers for risk prediction and targeting treatment; they may cause oxidative stress, lipotoxicity, glucotoxicity, and proteolysis, resulting in negative health consequences. In another study, Sidra Medicine, HMC, HBKU, and Weill Cornell Medicine-Qatar (Ahmed et al. 2023) have constructed a multi-trait PRS model for type 2 diabetes in Qatar, which can be used for early detection of type 2 diabetes risk.

Hypercholesterolemia, is an inherited disease characterized by a reduced ability to clear low-density lipoprotein cholesterol (LDL-C) from the blood and an increased risk of coronary vascular disease. Through genome sequencing, scientists at HBKU, Sidra Medicine, Weill Cornell Medicine-Qatar and HMC led large studies using data from 14,500 participants in the QBB cohort and estimated a higher prevalence of familial hypercholesterolemia among Qataris

(1 in 125) compared to the global prevalence (ranging from 1 in 250 to 1 in 500) (Diboun et al. 2022). These studies also identified both known and new variants associated with hypercholesterolemia and PRS that associated higher phenotypic LDL-C scores. These are important findings that can be used to predict risk and as a necessary consideration for planning early public health interventions in these populations.

36 37
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

DIAGNOSTICS

QATAR CHIP SCREENING TOOL AND INTEGRATED GENOMICS SERVICES FOR DIAGNOSIS

Using genomic data generated by QGP and the clinical genetic registry maintained by the Diagnostic Genomic Division at HMC, QF developed the first Qatar chip (Q-chip) as a population-specific genotyping microarray with over 300,000 genetic markers and disease-associated mutations (RodriguezFlores et al. 2022). The Q-chip can be used to screen for a number of pathogenic variants in newborns, premarital couples, and patients presenting in healthcare settings; its high throughput makes it a cost-effective tool. The main collaborators in the Q-chip development were Weill Cornell UniversityNew York, Weill Cornell Medicine-Qatar, Sidra Medicine, QBB, HMC, RUCDR Infinite Biologics, University of Puerto Rico, Qatar University, and Rutgers University.

Sidra Medicine’s Integrated Genomic Services bring together clinical genomics and omics laboratory capabilities with data science and zebrafish analytical units. This integration offers a comprehensive suite of genomic, molecular biology, and informatics services to clinicians and researchers across the country. In 2022, Sidra Medicine validated and optimized whole-genome sequencing, RNA sequencing, and single-cell sequencing pipelines. This new technology has reduced the cost of sequencing by over 50 percent (Sidra Medicine Research Annual Report 2022). During 2023, more than 17,000 whole genomes were sequenced. Incorporating transcriptome and the zebrafish analyses (see box) into routine genomic sequencing is pivotal in the accurate diagnosis of rare and undiagnosed hereditary disorders and cancers.

ZEBRAFISH: PIONEERING PRECISION MEDICINE THROUGH HUMAN DISEASE MODELS

The Zebrafish Facility at Sidra Medicine offers a personalized medicine approach to healthcare that will ultimately pave the way for more effective and precise treatments for rare pediatric diseases. The zebrafish platform is significant as a versatile and powerful tool for advancing our understanding of genetic disorders and accelerating the development of targeted therapies.

The zebrafish is a small, freshwater tropical fish with a genetic makeup similar to that of humans, which makes

them widely used as a model organism in biological research. Zebrafish develop rapidly, their embryos are transparent, and their genes can be easily manipulated using advanced technologies like CRISPR/ Cas9. Scientists can observe the gene expression and regulation and disease progression in zebrafish in real time, aiding an understanding of a human patient’s unique genetic and molecular signatures and allowing for the creation of patient-specific disease models and the identification of novel therapies tailored for the individual patient.

Transforming the Future of Healthcare in Qatar 2.2 ENHANCED
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES 38 39 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 2

The research on novel genetic variants and genes at Sidra Medicine is truly groundbreaking. Using zebrafish models, our researchers have validated key findings in gene discoveries, clinical manifestations, and disease prognosis. These findings have contributed to the broader landscape of precision medicine and targeted effective healthcare strategies. The zebrafish platform has been used to successfully create pediatric disease models of neurological disorders, cardiovascular diseases, congenital anomalies, and other diseases.

The Zebrafish Facility actively contributes to interpreting the QGP s unique findings, providing a foundation for extrapolating, and applying findings from zebrafish studies to broader contexts, including potential health implications. In a paper published in 2021, the facility generated a model using zebrafish for the VWA1 gene, which is linked to the loss of motor function in 17 individuals from 15 families (Pagnamenta et al. 2021). This model demonstrated that the zebrafish VWA1 model reduced motor neuron axonal growth, impaired synaptic formation in the skeletal muscle, and movement patterns like those observed in the affected patients. The research was in collaboration with scientists based in the United Kingdom.

Recently, we linked novel variants specific to the Qatari population’s cardiac function, progressive vision and hearing loss, and traits associated with hair and eye pigmentation through functional validations in the zebrafish model.

40 41 Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

DIAGNOSIS OF AUTISM SPECTRUM DISORDER

Issue: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder (NDD) with a wide range of phenotypic presentations, including difficulties with communication and social interaction, attributed to several genetic, epigenetic, and/or environmental factors. In 2019, a large study conducted by researchers at HBKU estimated ASD prevalence to be as high as 1 in 87 children in Qatar (Alshaban et al. 2019).

There have been several studies globally on the causes or precise genetic markers of ASD, which are important for early diagnosis and early behavioral interventions to improve child outcomes. However, to date there are no globally validated biomarkers for ASD screening and diagnosis. Diagnosis mostly depends on physicians’ assessments and family reports, interviews, and observations, which are often subjective and may result in a delayed diagnosis.

child being screened sits in front of an LCD computer monitor, which displays stimuli in the form of pictures and videos in Arabic. Stimuli were developed in collaboration with the Cleveland Clinic in the United States. Researchers in Qatar adapted the stimuli to the Qatari context and for Arabic speakers; their first version of the stimuli (15–20 minutes) was felt to be too long so they are now working on a shorter version. By aggregating eye-gaze data into an autism risk index, this approach provides an objective and user-friendly tool for early detection and diagnosis of ASD. It is intended to be used to identify children at risk of autism who can then be targeted for referral, which will reduce the burden on the healthcare system. The approach had a success rate of over 85 percent (Frazier et al. 2021), and the tool can be used safely on infants as young as six months of age. The researchers have applied for a patent.

Action: In 2020, a multidisciplinary team of researchers at HBKU leveraged precision health technologies by validating an eyetracking stimuli for early screening and diagnosis of ASD for use with children who speak Arabic. Researchers from HBKU applied a personalized engagement assessment that captures visual, auditory, and social attention for children with ASD during learning. The research, which was run by HBKU’s College of Science and Engineering explored the effect of social and nonsocial visual stimuli on the attention of children with ASD and typically developing children in a simulated virtual classroom. This new approach measures eye-gaze patterns, which are indicative of ASD, using a remote eye-tracking device; the

Another project, on digital phenotyping of social communication behaviors, uses computerized machine-learning systems to monitor and analyze social communication behavior in children both with autism and with non-autism NDDs, such as attention deficit hyperactivity disorder (ADHD) and intellectual disabilities. The two-year project – developed in collaboration with Argus Cognitive and Rush University in 2021 – is using smart glasses, standard cameras, and advanced machine-learning software to automatically detect crucial social communication behaviors, including eye gaze, gestures, facial expressions, and speech. Machine learning is in the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2), considered a "goldstandard" tool for ASD diagnosis. But the tool is used manually and requires specialized training of clinicians and others who use it, so it can be slow and subjective; a single assessment can take up to 45 to 60 minutes. Once validated, this new digital phenotyping approach is expected to save time and increase objectivity among users of the ADOS-2 tool in reaching a diagnosis. With ASD, the earlier the diagnosis and intervention, the better for the child in terms of improvement of symptoms.

QF research in the field of ASD has significant implications for precision health,

as it aims to enhance early detection, intervention, and personalized care for individuals with ASD and other NDDs, ultimately leading to improved health outcomes and quality of life. In a recent study published by QF, HBKU in collaboration with Qatar University (Mesleh et al. 2023), measured the blood proteins of 121 children to identify potential biomarkers of ASD in the Qatari population and to characterize molecular pathways potentially involved in ASD pathogenesis. This study is the first of its kind to comprehensively measure 1,196 blood proteins using all the target panels developed by Olink, a company based in Uppsala, Sweden. The researchers identified 15 proteins that are potential biomarkers for ASD diagnosis; however, the proteins are yet to be validated for specificity. The study underlined the need for multi-omics profiling, to identify diagnostic biomarkers with high-performance characteristics. HBKU's laboratory has developed a robust platform to improve existing diagnostic observations with more data-driven methodologies using multiple biomarkers – the connectome, transcriptome, and genome, among others – as well as prenatal components. This multi-biomarker approach is more effective and accurate than using a single biomarker to diagnose NDDs, including ASD.

In the largest genomic study of ASD of its kind

Transforming the Future of Healthcare in Qatar

in the region, scientists at Sidra Medicine published the results of the pilot phase of the BARAKA-Qatar study, which looks at the genomic and environmental determinants of ASD in the local population (Abdi 2023). This study analyzed the genomes of 100 families with ASD (372 individuals) using deep wholegenome sequencing and analysis protocols. The data were analyzed for a wide range of genomic causes of ASD, including small variants, structural variation, mitochondrial variants, and tandem repeats. Altogether, a putatively causative gene was identified in around 24 percent of families, nearly twice the global average. Surprisingly, a significant proportion of gene occurrences were due to recessive mutations, which were present at levels of 10-fold higher in Qatar versus global cohorts. The finding sheds light on a genetic architecture that is not widely considered to contribute to ASD worldwide, and it offers the potential to screen people early for such variants (at a young age or premaritally) for timely intervention. The study has now enrolled another 300 families and is preparing a phase 2 release in which 500 families from Qatar will be fully sequenced and analyzed by mid-2024. Sidra Medicine is collaborating with the Hospital for Sick Children (SickKids) in Canada and the Autism Speaks MSSNG database project in this second phase.

Impact: In 2019, HBKU’s ASD diagnostic proteomic biomarkers platform was recognized by QF’s Industry Development and Knowledge Transfer office, and HBKU has applied to the United States Patent and Trademark Office for a provisional patent and a patent cooperation treaty, to protect the invention and to allow

the laboratory to transform the findings into a diagnostic kit. There are plans to commercialize the other digital tools, and to use the newly discovered recessive markers for screening. These technologies, when available on the market, have the potential to transform early diagnosis and intervention for autism in Qatar, the Middle East and globally.

43
CHAPTER 2 ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 42

SCREENING FOR DIABETES MELLITUS IN CHILDREN

Issue: The International Diabetes Federation estimates that there are 1.2 million children and adolescents living with diabetes globally (IDF Diabetes Atlas 2021), and the Middle East and North Africa are among the regions with the highest prevalence (Zhang et al. 2023).

Diabetes in children is classified according to the underlying pathology and includes neonatal diabetes, types 1 and 2 diabetes, maturity-onset diabetes of the young (MODY), and autoimmune monogenic and syndromic forms of diabetes.

Action: Precise characterization of diabetes in children is necessary for personalized clinical care. Among initiatives that are taking place, some include genomics in the molecular evaluation of all sick children presenting with diabetes in Qatar. In a recently published study (Harris et al. 2021), Sidra Medicine used pancreatic β-cell autoantibody and genetic profiling on blood samples from 1,345 diabetic children under the age of 18 years who were attending diabetes clinics and admitted as in-patients between 2018 and 2020.

Type 1 diabetes was the most common type of diabetes, occurring in 83 percent of the study population and 52 percent of Qatari Arab children included in the study.

Type 1B (idiopathic) and type 2 diabetes were the second most common, each at a prevalence of 8 percent. MODY, a rare monogenic form of diabetes, occurred in 1 percent of study participants. MODY is usually misclassified in clinics because of the absence of clinical assessment tools, the occurrence of de novo mutations, and the lack of suitable genetic testing; and most MODY cases are misdiagnosed due to the high prevalence of obesity in Qatar. In a large population-based study (Elashi

et al. 2022), HBKU researchers analyzed whole-genome sequence data from 14,364 adults from the QBB participant cohort; they identified genetic variants associated with MODY, including variants not previously reported, and estimated the prevalence of MODY to be 3.4 percent of diabetes patients. The studies highlighted the importance of genetic testing to identify patients with MODY and offer a personalized treatment approach.

Sidra Medicine and collaborators conducted a cohort study to classify diabetes in all children diagnosed with the disease and to study the epidemiology and genetic landscape (Haris et al. 2021). This is the first study in Qatar to systematically classify the biochemical and genetic factors underlying diabetes in children, from birth to age 18 years. The total incidence of diabetes mellitus (all types included) was 39.19 per 100,000 children, and total prevalence was 301.91. Incidence and prevalence were also estimated by subtype and ethnic group. The data from the study will be entered in a national diabetes registry for children in Qatar in support of further studies to inform precision medicine approaches.

Impact: In September 2023 Sidra Medicine was awarded a US$1 million grant by the Juvenile Diabetes Research Foundation, the leading global organization that funds type 1 diabetes research and advocacy. This grant will support the establishment of a four-year program that combines autoimmune antibody diagnosis and genetic screening for children aged 18 months to 14 years with type 1 diabetes.

Separately, Sidra Medicine is partnering with PHCC to predict the future risks of type 1 diabetes in children in Qatar. This project will determine the basis for establishing a model for national pediatric type 1 diabetes autoimmune antibody and genetic screening for precision medicine in Qatar and throughout the Middle East and North African region.

44 45 Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

DIAGNOSING AND CHARACTERIZING CHILDHOOD CANCERS

Issue: WHO estimates that globally, about 400,000 children and adolescents (aged 0–19 years) develop cancer every year (WHO 2021). Sidra Medicine estimates that the prevalence of childhood cancer in Qatar is about 8 cases per 100,000 population, a proportion similar to regional and global estimates. Leukemias, lymphomas, and brain tumors are the most common types. The risk and clinical evolution of cancer is driven by genetic mutations, resulting in heterogeneity, with an impact on outcomes in the patient and children’s response to treatment. Tumor management has benefited from a precision management approach.

Action: Sidra Medicine has a pediatric oncology hub with specialized teams for the diagnosis, care, and support of all children and adolescents with cancer. Researchers are characterizing pediatric tumors and quantifying immune cells and their function, which can predict the risk of tumor relapse and death. In a recent study, Sidra Medicine quantified antitumor immune responses associated with tumor gene expression and determined that pediatric solid tumors could be divided into six different subtypes, according to their immunological parameters (Sherif et al. 2022). The researchers used an immune signature called the Immunologic Constant of Rejection – which was developed at Sidra Medicine – to accurately predict the risk of death in patients with certain aggressive tumors, such as a subtype of neuroblastoma, which is particularly aggressive in children. The study suggested that immune markers

associated with an unfavorable prognosis could be explored as targets for novel immunotherapeutic approaches.

In 2021, Sidra Medicine launched a pediatric cancer biobank of tumor and normal tissue samples as a precision medicine pilot project for genetic and epigenetic profiling research. The project envisages several areas of study: analysis of the immune phenotype and oncogenic heterogeneity of tumors; development of non-invasive diagnostics and targeted personalized therapies; and genome oncology profiling, including DNA and RNA extraction, next-generation sequencing, and variant annotation. Personal cancer genome reports and cancer predisposition sequencing reports are generated within two to three weeks for clinicians. Genomic oncology profiling is expedited for study participants with aggressive tumors or relapse, to ensure timely diagnosis and appropriate treatment.

Impact: The biorepository will be used by researchers as a platform for developing personalized cancer therapies and tools for pediatric patients.

Transforming the Future of Healthcare in Qatar 47 46
CHAPTER 2 ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY

DIAGNOSING AND TREATING BREAST CANCER

Issue: The clinical and molecular heterogeneity of breast cancer has led to the classification of different subtypes, all with different disease courses and prognoses. Breast cancer presents at a younger age in Qatar compared to the Western world (Najjar and Easson 2010), and our studies have shown that the risk profiles and prognoses differ across population groups in Qatar (Roelands et al. 2021). With the growing application of genomics in oncology, it has become possible to identify individuals with the different types of breast cancers and offer them personalized genetic counseling, strategies to reduce their cancer risk, and targeted therapy to improve their outcomes. WHO (2020) reported there were 1,260 cancer cases in Qatar, the most common being breast cancer (15.1 percent), colorectal cancer (11.3 percent), leukemia (6.8 percent), non-Hodgkin’s lymphoma (6.1 percent), prostate cancer (5.8 percent), and lung cancer (5.8 percent). QF is supporting a number of precision medicine projects to identify biomarkers for predicting and diagnosing breast cancer and genetic, immunological, and therapeutic targets for treatment.

48 Transforming the Future of Healthcare in Qatar 49
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

Action: QGP and QBB in partnership with the National Center for Cancer Care and Research (NCCCR) at HMC conducted a pilot study using wholegenome sequencing to identify QBB cohort participants with pathogenic BRCA1 and BRCA2 genes (QBB Annual Report 2022–2023). BRCA mutations are known to increase the risk of developing breast cancer by as much as 87 percent (Kuchenbaecker et al. 2017). A total of 6,000 genomes were analyzed, resulting in the identification of 20 study participants with BRCA genes. The at-risk women and men were enrolled in a five-year cohort study – established by MOPH, QF, and local and international collaborators – for follow-up care and research purposes. An oncologist and a genetics counselor from NCCCR are providing follow-up care and support, as per HMC guidelines, and genetic testing is provided for families of the cohort study participants. The care pathway developed through the cohort study is being applied to other actionable mutations.

Prediction and early detection of breast cancer, coupled with appropriate selection of therapeutic regimens, are essential for patients’ survival. In 2023 QF awarded an internal research grant to QBRI for the purpose of using genomics, transcriptomics, proteomics, metabolomics, and immunophenotyping analyses to identify diagnostic and prognostic biomarkers and to advance precision medicine in clinical practice.

In 2021, QBRI evaluated the involvement of cancer testis antigen in lactate dehydrogenase C (LDHC) in regulating tumor stability and whether it could be targeted for tumor cellular fitness (Naik and Decock 2022). LDHC is a specific

marker discovered by the researchers at QBRI (Thomas et al. 2020). The evaluation found that suppressing LDHC could increase the presence of giant cells, nuclear aberrations, DNA damage, and apoptosis. Based on these promising findings, QBRI is developing and validating tools to target LDHC and reduce its negative effects using complexes of cellpenetrating peptides and LDHC-silencing molecules in two- and three-dimensional models for breast cancer in the laboratory.

Although advances in cancer detection and therapies have significantly reduced breast cancer death rates, significant numbers of patients still develop resistance to therapies and almost all patients who develop metastatic disease face very poor clinical outcomes. QBRI leads an interdisciplinary research program in collaboration with HMC and the King Hussein Cancer Center in Jordan that is exploring two main objectives within breast cancer research. The first objective is to identify genetic determinants of familial breast cancer that is not linked to BRCA1 or BRCA2, and the second is to identify novel biomarkers for disease diagnosis and prognosis, as well as prediction of the response to therapy, using multi-omics (genomics, transcriptomics, proteomics, metabolomics, and others). The ultimate goal of the program is to identify novel biomarkers for breast cancer that contribute to the improvement of patient survival in Qatar and the Middle East region.

QBRI is also engaged in a number of transcriptomic studies to identify disease biomarkers as novel genetic and therapeutic targets, which have resulted in a number of publications in 2023. Some of the studies are highlighted here (see the bibliography at the end of the report for full publication details).

Using comprehensive transcriptomic RNA

and miRNA profiling on tumor samples, the investigators in this study identified RNA and miRNA regulatory networks as functions of breast cancer molecular subtype, tumor grade, and age and ethnicity of the patient (Elango et al. 2023). They also identified RNA and miRNA signatures predictive of worse and better relapse-free survival. QBRI employed functional screen data from CRISPR-Cas9, a technology that allows editing of the genome, to identify a number of therapeutic targets for each breast cancer molecular subtype, although specific therapy targeting several of these genes is not available on the market.

In another study, investigators at HBKU’s Translational Cancer and Immunity Center (TCIC) and QBRI employed computational algorithms to study the composition of estrogen-positive and triple-negative breast cancer subtypes from a total of 49,899 single cells, publicly available transcriptomic data, and identified gene sets in molecular subtypes (Vishnubalaji and Alajez 2023). They integrated single-cell transcriptomics with CRISPR-Cas9 functional screen data to identify 13 potential therapeutic targets.

Triple-negative breast cancer is resistant to neoadjuvant chemotherapy. QBRI has identified the transcriptional landscape associated with resistance at a single-cell level by analyzing transcriptomic data from more than 5,000 single cells (Vishnubalaji et al. 2021). In the same study, investigators reported identifying three gene signatures predictive of response to neoadjuvant therapy that can be used as prognostic markers and therapeutic targets.

Impact: Our work provides a framework for future development and testing of novel diagnostic and prognostic biomarkers and genetic and molecular therapeutic targets for breast cancer. These markers have the potential to improve patient care and outcomes in Qatar, the Middle East and globally.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES 50 51 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 2

OMOUMA MOTHER-CHILD COHORT

Issue: Qatar has very high rates of pregnancy-related complications, including gestational diabetes (21 percent), gestational hypertension (18.4 percent), preterm birth (10 percent), low birth weight (6.9 percent), and pre-eclampsia (3.7 percent) (HMC 2019). Pregnancy health outcomes are influenced by multiple lifestyle, molecular, and cellular processes. Recent studies have revealed high levels of heterogeneity and the multifactorial nature of pregnancy-related complications.

Action: Sidra Medicine is the only private tertiary hospital in Qatar providing complex care for women and children, with physicians covering 30 subspecialties. In addition to its role as the national genomics center for highvolume sequencing, Sidra Medicine conducts research in precision health, mainly for rare diseases, pediatric leukemia, mitochondrial disorders, and autism. Integrative multi-omics technologies at Sidra Medicine include immune simulation and blood transcriptomics, proteomics, metabolomics, epigenomics, and metagenomics. Researchers and clinicians apply integrative bioinformatics tools to explore in depth the complex molecular interactions impacting the health of women, children, and adolescents.

Omouma is a precision medicine pilot project established at Sidra Medicine in 2021 to investigate the maternal, genetic, social, environmental, and lifestyle factors that affect pregnancy outcomes and infant health (Kumar et al. 2021). A total of 1,000 pregnant mothers receiving antenatal care in their first trimester at Sidra Medicine have been enrolled to date; multiple assessments on the cohort samples are being conducted to identify predictive biomarkers. Omouma also aims to determine how early childhood determinants impact the health outcomes of infants, children, and adolescents in Qatar’s geographically and genetically diverse population. Pregnant women are followed up every trimester until delivery

and later, with their babies, for one year post delivery. Using the biological samples collected, the investigators aim to identify molecular mechanisms of pregnancy complications – such as gestational diabetes, gestational hypertension, preeclampsia, stillbirth, and prematurity – and biomarkers that predict pregnancy outcomes. The work is paving the way for personalized care, and the biobank of samples will be used in future research, including the study of microbial profiling, vaginal immune response, blood transcriptomics, epigenomics, and metabolomics.

Impact: The Omouma project study is still under way, with impact yet to be determined.

52 53 Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

2.3 TREATMENT OF RARE HEREDITARY DISEASES

Sidra Medicine’s Research Institute has launched several initiatives to target the diagnosis and treatment of children with rare genetic disorders. Key among these is the long-standing Mendelian Program, which acts as an umbrella protocol for research using whole-genome sequencing and other omics. The program is open to any child suspected of having a monogenic condition and to members of the child’s family; to date, it has enrolled more than 500 families representing a wide range of disease conditions. As evidenced by the growing literature from Qatar, the Mendelian Program has made significant strides in gene dicovery. Importantly, novel genes and variants discovered in pediatric disorders are tested functionally using cellular and zebrafish models, increasing the confidence in their causality as well as illuminating possible pathways for intervention and treatment.

To expand the reach of this successful approach to more patients, the Research Institute recently launched the Precision Medicine for All grant, the first national initiative to fund research studies enrolling patients in clinicalresearch protocols. This grant is a mechanism for community funds to be directed towards research, enabling young patients, particularly those with genetic, rare, or hard-to-diagnose conditions, to access diagnostic and therapeutic services at Sidra Medicine, including wholegenome sequencing, zebrafish modeling, and immunophenotyping.

More recently, with the completion of Qatar’s first fully accredited Good Manufacturing Practice facility, Sidra Medicine has developed clinical algorithms for therapeutic discoveries for rare diseases and is liaising with industry and pharma to begin clinical trials for rare conditions affecting its patient populations. These are described in more detail:

PLASMA EYE DROPS FOR CONGENITAL PLASMINOGEN DEFICIENCY

Issue: A 10-month-old baby admitted to Sidra Medicine was diagnosed with congenital plasminogen deficiency, an extremely rare genetic disorder, which makes the eyes fill up with inflamed, ’’wood-like’’ growths of the conjunctiva (Sidra Medicine Research Annual Report 2021).

Action: A multidisciplinary team at Sidra Medicine (with specialists in hematology, ophthalmology, pathology, blood bank, and advanced cell therapy) produced plasma eye drops for this condition – for the first time in the world.

Impact: After a year of using the eye drops, the baby was successfully treated; and several other patients have benefited from this treatment to date. Congenital plasminogen deficiency is a rare disease, but there are multiple patients in Qatar’s small population, due to consanguinity.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES 54 55 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 2

GENE REPLACEMENT THERAPY FOR SPINAL MUSCULAR ATROPHY

Issue: In a joint effort, HMC and Sidra Medicine treated 11 patients aged 2–22 months diagnosed with spinal muscular atrophy (SMA) between 2019 and 2021 (Ali et al. 2021). SMA is an inherited autosomal recessive neuromuscular disorder that is usually fatal in infants. It is characterized by progressive muscle weakness and wasting from infancy, resulting from the loss of motor neurons in the spinal cord. The incidence of SMA is up to 40fold higher in the Middle East than in the Western world due to high consanguinity (Al-Rajeh et al. 1992).

Action: Diagnosis of SMA was confirmed by genetic testing to identify two homozygous SMN1 deletions. The multidisciplinary teams treated children using Zolgensma (onasemnogene abeparvovec), a gene therapy manufactured by Novartis and approved by the United States Food and Drug Administration (FDA) in 2019. All but one of the patients receiving the therapy showed improvements in terms of their reduced need for a ventilator to aid breathing and fewer hospital stays, among other outcomes.

Impact: Following the publication in 2021 of the evidence of the efficacy of this treatment in Qatar, Sidra Medicine was appointed as the lead treatment center in the Middle East and North Africa region to administer Zolgensma.

Novartis’s Managed Access Program works with selected partner hospitals to offer gene therapies to babies suffering from rare and life-threatening neurological genetic diseases in settings where treatment and medication are unavailable.

56 Transforming the Future of Healthcare in Qatar 57
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

USE OF ABATACEPT IN THE PERSONALIZED TREATMENT OF TWO SIBLINGS WITH SEVERE AUTOIMMUNE DISEASE

Issue: Sidra Medicine sequenced the genomes of two siblings with severe autoimmune disease who were not responding to traditional immunosuppressive therapies (Merico et al. 2021). The siblings were found to have mutations in the lipopolysaccharide-responsive beigelike anchor protein gene (LRBA).

Action: Sidra Medicine’s previous work demonstrated that the LRBA gene was an important regulator of CTLA4, an immune-inhibitory molecule. Abatacept, a CTLA4 mimic, was shown in the laboratory to compensate for the defective LRBA.

The hospital treated the patients with abatacept, which resulted in substantive improvements in their clinical condition, including reduced inflammation, fewer gut symptoms, and significant weight gain (Qatar Foundation 2021). In administering the treatment, Sidra Medicine followed the hospital protocol for the use of new discovery medicines.

Impact: Mutations such as those found in the two siblings are likely to reoccur, given the levels of consanguinity in Qatar. For these rare conditions, Sidra Medicine has established a management model of care to facilitate the use of new therapeutic discoveries. Parents admitted to the hospital are given the option to consent to the use of available novel treatment options as a standard part of care. Children are automatically sequenced to look for mutations and provide personalized care.

A collaboration between Weill Cornell Medicine-Qatar, and Sidra Medicine led experts to use precision medicine to identify and treat a sick child using innovative methods and advanced technology. The child in question was admitted to Sidra Medicine with severe infections, muscular hypotonia, and anhidrosis, all of which prevented the child from thriving. Genome sequencing revealed a novel mutation in the Orai1 gene, known to be involved in the activation of immune cells. Initially, it was unclear whether this mutation was pathogenic, and because most pathogenetic variants are associated with a low risk of disease (Forrest et al. 2022) it was clear that experts needed to investigate this further. The teams from Weill Cornell Medicine-Qatar and Sidra Medicine did so by developing cellular models

to replicate the mutation found in the child and study its functional implications. These studies showed that the mutated Orai1 channel could not traffic properly to the cell membrane and was not functional. As this channel is required for immune cell function, this explains the primary immunodeficiency observed clinically. Based on that information which proved the pathogenesis of the mutation, the child was prioritized for a bone marrow transplant and has since received the treatment. This case is important as it shows the ability to supplement genomics analyses with functional data using cellular models to define the pathogenesis and inform clinical treatment, which is a direct application of personalized medicine in the clinical setting in Qatar (Yu et al. 2021).

59
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 58 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY REFERENCES BIBLIOGRAPHY CHAPTER 4 CONCLUSION CHAPTER 3 CHAPTER 2

2.4 PHARMACOGENOMICS

EFFORTS

Most treatment protocols currently in use in Qatar are modeled after United States and European clinical trials in the absence of specific, population-characteristic data on pharmacogenomic profiles. Expanding access

to optimal therapeutic options for patients and reducing adverse drug reactions for Qataris require a better understanding of how specific genetic variations can affect individual responses to certain medications.

QF is leading the coordination of adopting pharmacogenomics in Qatari healthcare settings for common complex diseases, including cancer and cardiovascular conditions. This is in parallel to its work of conducting research to understand population-specific genetic variations in

drug metabolism genes. These activities under the pharmacogenomics program at QF seek to enable targeted treatment and dosing for individuals who are fast or slow metabolizers of a prescribed drug. The program is also identifying individuals at risk for adverse reactions.

ONGOING STUDIES IN PHARMACOGENOMICS

QF has been supporting the following ongoing studies on pharmacogenomics (for full publication details, see the bibliography at the end of the report):

A population study of clinically actionable genetic variation affecting drug responses from the Middle East Genetic variants play an important role in individual responses to a specific medication.

Whole-genome sequencing can identify clinically actionable variants affecting patients’ responses to treatment. Using genomes from the QBB population cohort, the partners in this first comprehensive study – HBKU, Sidra Medicine, HMC, QGP,

Quantitative Genomics Laboratories in Barcelona, and the University of Liverpool –characterized clinically actionable genotypes and diplotypes and their phenotypic effects on efficacy, dosing, and risk of adverse events for several medications (Jitesh et al. 2022).

The study demonstrated that 1,320 variants in 703 genes were different in Qataris when compared to population groups in other parts of the world, and these variants affected Qatari patients responses to 299 drugs. More specifically, 615 of the variants had higher frequencies in the Qatari population, requiring further work to determine clinical significance for precision medicine.

60 61 Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION CHAPTER 2

PERSONALIZATION OF CLOPIDOGREL ANTIPLATELET THERAPY IN PATIENTS UNDERGOING PERCUTANEOUS CORONARY INTERVENTION IN QATAR

Clopidogrel is a widely used antiplatelet agent for a variety of atherothrombotic diseases. However, there are concerns about its reduced efficacy in people unable to convert clopidogrel to its active metabolite. Studies have shown that patients possessing genetic variants of the CYP2C19 gene may be at increased risk of adverse cardiovascular events due to impaired clopidogrel efficacy. A recent study by Qatar University and HMC estimated that the prevalence of the CYP2C19*2 gene, the most common loss of function variant, ranged from

1.7 percent to 35 percent in the Middle East and North Africa region (Ali and Elewa 2019).

A pilot project on personalization of the clopidogrel antiplatelet therapy in patients undergoing percutaneous coronary intervention is under way in Qatar; 300 patients are enrolled to date. A larger project will be partially funded by QF; the project proposal has been submitted to the Medical Research Council.

INFLUENCE OF PHARMACOGENETICS ON CLINICAL OUTCOMES OF QATARI PATIENTS: TREATMENT OF BREAST CANCER WITH ANTHRACYCLINE/ CYCLOPHOSPHAMIDE-BASED CHEMOTHERAPY

Anthracyclines, including doxorubicin, epirubicin, daunorubicin, and idarubicin, are commonly used in chemotherapy regimens for breast cancer. However, anthracyclines are also associated with adverse events that significantly limit their use in patients. NCCCR and QF are collaborating on an evaluation of an anthracycline cyclophosphamidebased chemotherapy. The protocol has been submitted to the Medical Research Council.

PERSONALIZED WARFARIN PHARMACOGENETIC GENOTYPEGUIDED DOSING: CLINICAL IMPLEMENTATION IN PATIENTS WITH HEART VALVE REPLACEMENT IN QATAR

Several CYP2C9 gene polymorphisms are associated with decreased activity of the CYP2C9 enzyme that slows the body’s metabolism of warfarin. The drug remains active in the body for a longer period of time, leading to warfarin toxicity. QF and HMC are collaborating on a study to evaluate clinical implementation of pharmacogenetic genotype-guided dosing of warfarin in patients with heart valve replacement. The pilot study is under way, and patients are receiving genotype-guided dosing therapy.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES 62 63 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 2

PRE-EMPTIVE PHARMACOGENETIC TESTING FOR STATIN PERSONALIZED PRESCRIPTION: POTENTIAL IN THE PREVENTION OF STATINRELATED MYOPATHY

Statins are a cornerstone of treatment and prevention of atherosclerotic cardiovascular disease. However, genetic polymorphism can significantly affect statin efficacy, and in 10 percent of patients it led to organ toxicity or myopathy (Kitzmiller et al. 2016).

Dose-response relationships have been demonstrated repeatedly for both statin efficacy and toxicity. Taking this research further, HMC and QF are collaborating on a study to evaluate preemptive genetic testing in statin personalized prescription. The protocol has been submitted to the Medical Research Council.

EVALUATION OF THE USE OF ANTIPSYCHOTICS IN MIDDLE EASTERN POPULATIONS TO ASSESS PRESCRIPTION PATTERNS

HBKU, HMC, and Sidra Medicine conducted a cross-sectional study of Qatari patients who received antipsychotic prescriptions from major healthcare providers in Qatar between June 2018 and May 2020 (Bastaki et al. 2021). Among the 35,938 antipsychotic prescriptions dispensed, second-generation antipsychotics were the most highly prescribed (59 percent), followed by first-generation antipsychotics (13 percent). Most of the prescriptions (69 percent) indicated that the antipsychotics were for off-label use in treating conditions like sleeping disorders, benign paroxysmal positional vertigo, and irritable bowel syndrome. The study concluded that integrating these data with pharmacogenomic and clinical outcome data would be helpful in personalized decision-making and precision medicine in Qatar and beyond.

CREATING A ROBUST HEALTHCARE SYSTEM

The data derived from QF-supported work in clinical settings – including integration of data sets, disease cohorts, and the disease-specific tools being developed from the pilot studies – are an important element for Qatar’s transition

to a precision medicine-based healthcare system and its successful rollout. Chapter 3 looks at how QF is contributing to training the workforce who will run the precision health system.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES 64 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 65 CHAPTER 2

2.5 QF MILESTONES: DELIVERING ON THE PROMISE OF PRECISION HEALTH IN QATAR

• Launched Qatar Genome Program with Her Highness Sheikha Moza bint Nasser

• Created Qatar Genome Program Research Consortium

• First landmark study of the Qatari population appeared on the cover of Genome Research, an international, peer-reviewed journal

• Released MoPH Design, Ethical Review, and Conduct of Genomic Research in Qatar Guidance

• Published a study on successful construction of the Qatar Reference Genome (Fakhro et al. 2016)

• Established partnerships with Genomics England and the Global Biobank Meta-Analysis Initiative for joint work

• Identified actionable pathogenic and likely pathogenic variants in healthy Qatari adults through a whole-genome sequencing study using QBB cohort samples

• Created a pediatric cancer biobank and began research to develop non-invasive diagnostics and targeted, personalized therapies for children

• Developed plasma eye drops to successfully treat a child with congenital plasminogen deficiency

• Designed the Omouma cohort study at Sidra Medicine to identify predictive biomarkers for adverse pregnancy and child health outcomes

• Confirmed through a population study the genetic differences in drug efficacy, dosing, and adverse reactions among Qataris, when compared to other population groups

• Demonstrated through analysis of polygenic risk scores for common cancers the significant differences between the six ancestry groups in Qatar

• Extended precision medicine support to PHCC Smart Health Check and Wellness Clinics

• Sidra Medicine appointed as the lead treatment center in the Middle East and North Africa by Novartis to administer Zolgensma for spinal muscular atrophy

• Established Pathway Towards Precision Medicine grant scheme

• Created the Mendelian Program at Sidra Medicine, Qatar’s most successful gene-discovery protocol for rare diseases

• Created Qatar Biobank with MoPH and HMC

• Developed the Q-chip, a low-cost, genotyping microarray tool for specific use with the Qatar population

• Established the Qatari Birth Cohort Study to evaluate how genomics and other factors affect children’s health in early childhood and later in life

• Validated eye-tracking tool for diagnosing autism spectrum disorder

• Published new evidence on biomarkers for autism and MODY prevalence in diabetes patients, and RNA and mRNA regulatory networks in breast cancer characteristics (Elashi et al. 2022; Elango et al. 2023)

• Received Juvenile Diabetes Research Award for Sidra Medicine to develop an autoimmune antibody and genetic screening model for children in Qatar and the Middle East

• Integrated pharmacogenomic testing in the healthcare system to guide warfarin and clopidogrel treatment decisions

• Provided genomics and precision medicine internships to 41 students in grades 11 and 12 and led orientation workshops for secondary-school biology teachers

• QPHI led workshops for biology teachers from 50 public schools to increase teachers' knowledge of precision medicine.

• QPHI released Genome Heroes, a bilingual Arabic-English mobile phone application for children aged 6 to 12 that promotes learning about genomics in a fun, educational way

• Genomic wellness and lifestyle reports have been delivered to more than 100 patients through the Wellness Clinic within PHCC

67 66
Transforming the Future of Healthcare in Qatar Transforming the Future of Healthcare in Qatar
2014 2016 2015 2018 2019 2020 2021 2022 2023 2012
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 2

CHAPTER 3

Equipping the Precision Health Workforce of the Future

Transforming the Future of Healthcare in Qatar ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES CHAPTER 4 CONCLUSION BIBLIOGRAPHY 68 69 CHAPTER 3

CHAPTER 3

EQUIPPING THE PRECISION HEALTH WORKFORCE OF THE FUTURE

In Qatar, precision medicine interventions are new and largely unfamiliar to many clinical providers. Healthcare professionals are updating their skill set to respond to the additional workload of integrating genomics and precision medicine into patient care.

To that end, curricula in the schools and universities in QF’s ecosystem are evolving to help people understand the value of precision health, and to ultimately enable healthcare professionals to confidently treat life-threatening diseases and complex genetic disorders. We are contributing to building a multidisciplinary workforce with the capacities and skills to drive the sustainable rollout of precision medicine in Qatar.

As part of our National Vision 2030, Qatar is establishing a knowledge-based economy in biomedical and health sciences. Several academic programs in precision medicine

have been developed or are in the pipeline, including university courses up to the PhD level, orientation programs, and dialogue platforms, to develop the next generation of professionals and leaders in science. These academic programs are underpinned by our experience of research, development, and innovation.

TERTIARY INSTITUTIONS

QF has invested in graduate-level training of healthcare professionals in genomics and other omics-based technologies. HBKU offers MSc and PhD programs in genomics

and precision medicine that are based on reputable programs developed in Canada, Europe, and the United States. The aim is to train researchers, who can provide new insights for translating the study of genomics into clinical practice. Each program has a maximum capacity for 10 graduate students, and the programs are tailored in consideration of their diverse backgrounds. Specifically, 30 percent of students should be Qatari, to create a critical mass to work in the genomics and precision medicine field locally, and 20 percent should be residents or foreigners.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES 70 71 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY CHAPTER 3

HBKU provides core training in precision medicine under an MoU with Sidra Medicine. All HBKU students and faculty have access to advanced technological platforms at the level of sequencing or other bioinformatic tools. Many of the scientists at Sidra Medicine are also adjunct faculty at CHLS-HBKU. For the past two years, many of HBKU’s graduate students have pursued their PhD projects under the co-supervision of Sidra Medicine and HBKU faculty.

In 2022, the first 10 to 12 students enrolled in these programs graduated and received their doctorates in genomics and precision medicine. Some of them are now working in hospitals such as Sidra Medicine and HMC or as research assistants in laboratories in QF’s Education City. Since 2020, 25 to 30 students have enrolled in the programs, including nurses enrolled in the MSc program.

Weill Cornell Medicine-Qatar Qatar is contributing to building biomedical research and human capacity. Students in Qatar graduate with the same Doctor of Medicine (MD) degree as do students in the United States. Students in the fourth year of the MD program are required to do a six-month research internship, in which they may choose precision medicine, bench science, or clinical or translational research.

Weill Cornell Medicine-Qatar is also contributing to building capacity in precision medicine at the local level. Its Research Department has a team dedicated to training the local workforce to understand precision medicine and research as part of its Research Exposure Program, which includes a 10-month training course followed by application in a science or clinical lab, among other options.

The clinical applications are done at HMC, PHCC, and Sidra Medicine. The program was specifically designed for Qatari nationals and long-term residents who will stay in Qatar and support the health ecosystem. Most of the trainees are employed by Weill Cornell Medicine-Qatar, HMC, or Sidra Medicine once they complete the program.

As Qatar transitions to a precision healthcare system, practicing clinicians are benefiting from continuing education opportunities, such as the Research Exposure Program and various symposia on precision medicine organized for them by QF. Clinicians in the Research Exposure Program receive a minimal stipend while they take time off from their regular jobs to attend the training.

Genetic counselors are critical to the success of precision care, particularly as Qatar is already implementing precision medicine technologies such as genome sequencing, premarital testing, and cancer screening. Qatar University has a MSc in genetic counseling program that trains professionals on how to advise patients and their families in a sensitive manner about genetic testing, patient test results, and the implications of such results. Qatar University is increasingly providing support to clinicians who wish to learn more about genetics.

CHLS-HBKU is collaborating with MoPH and two other HBKU institutions – the College of Law and the College of Public Policy – to develop a MSc program that addresses the ethical concerns of patient care, including patient data safety and privacy issues.

the Future of Healthcare in Qatar
the Future of Healthcare in Qatar
Transforming
Transforming
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES 72 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 73 CHAPTER 3

INSTITUTION PROGRAM

FOCUS

MSc and PhD in Biological and Biomedical Sciences

MSc and PhD in Genomics and Precision Medicine

Multidisciplinary programs in Applied Biological and Biomedical Sciences for clinical, computational, and translational life sciences research that are important for precision medicine in clinical services. The courses include bioinformatics, advanced cell and molecular biology, epigenetics, molecular and cellular immunology, research methodology and ethics, statistics, and stem cell biology.

Multidisciplinary programs in Genomics and Precision Medicine, with a focus on four main precision medicine pillars: clinical aspects, technology, omics, and bioethics.

MSc in Exercise Science

MDA in Health Management

Joint degree by HBKU and the Arnold School of Public Health at the University of South Carolina (United States), applying genomics and transcriptomics technology to personalized fitness development and scientific advancement, within regenerative care and sports-related injuries. This degree addresses the complex relationships between exercise participation, physical activity, and human health.

This program offers students an understanding of the principles and technologies in health management analytics, including courses on AI and Machine Learning in Healthcare and Research Methods and Ethics in Health and Genomics.

Core courses include genetics and molecular biology, biochemistry and biophysics, cell and developmental biology, neuroscience, and computational biology. The course equips graduates with the technical expertise necessary for precision medicine.

A six-year MD program with core courses on genetics and translational science.

INTERNSHIP PROGRAMS FOR UNIVERSITY STUDENTS

In 2015, QF launched a summer internship program for university students who wish to learn about the latest science in genomics and its relevance to health care. This two-week internship is aimed at cultivating students’ interest in the different aspects of precision medicine as a career. The interns are resident physicians and nurses at HMC, as well as biomedical graduates and pharmacists from Qatari universities.

Beyond healthcare and academia, students have the option to pursue a career in the life sciences industry. QF is collaborating with Roche on two internship programs. One program gives interns the opportunity to work in Qatar on the specific side effects of chemotherapy in the treatment of breast cancer and other cancers. The second program gives interns an opportunity to work for six months at Roche research facilities in Basel (Switzerland) or San Francisco (United States); it is open to students from HBKU and started at the end of 2023. Involving the life

sciences industry in research and healthcare systems has many benefits, including the possibility for patients of accessing leadingedge medications.

EDUCATION OF SECONDARYSCHOOL STUDENTS

QF has created several programs for secondary-school students considering genomics and precision medicine as a potential career, including an entry qualifying program for genomic and precision medicine science and research, and personalized internships for students in grade 12 The Empower Generations Consortium, sponsored by QGP with Qatar University has attracted dozens of students from grades 11 and 12 as interns in the Genomics and Precision Medicine program, advising the students on study and career choices in precision medicine. The qualifying program is organized by the Biomedical Research Center and the College of Health Sciences at Qatar University in collaboration with the Ministry of Education and Higher Education.

Transforming the Future of Healthcare in Qatar
BSc in Biological Sciences Integrated Medical Program
TABLE 1: TERTIARY EDUCATION PROGRAMS ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES 74 CHAPTER 4 CONCLUSION BIBLIOGRAPHY 75 CHAPTER 3

PROGRAMS FOR YOUNG CHILDREN

QF, in partnership with the Ministry of Education and Higher Education, has established a range of programs to help young children learn about genomics and to encourage them to become future scientists. One program, developed with children themselves, is Genome Heroes, an animated series containing stories, edutainment activities, and a game accessible to users worldwide in English and Arabic. The digital version is available for download via the Apple Store and Google Play; a print version is also available. QF also organizes workshops and school field trips to the ‘Journey to the Heart of Life’, an exhibition located within Msheireb Museums’ Bin Jelmood House, in Msheireb Downtown Doha.

PUBLIC EDUCATION

To create public awareness, QF produced multiple resources, including edutainment videos, infographics and a brochure titled ,,Genomics Made Simple,,, which is accessible on our website. At the DNA exhibition at Bin Jelmood House, in Msheireb Downtown Doha, we held Genome Café workshops in which parents could participate in hands-on experiments with their children.

3.1 SHAPING GLOBAL DISCUSSIONS

Optimizing precision medicine interventions relies on collaboration and the sharing of expertise on best practices and intervention models to address some of the most challenging global health issues. The next chapter further describes QF’s convening role and our engagement with ethical and policy issues through the World Innovation Summit for Health (WISH).

77 76
Transforming the Future of Healthcare in Qatar CHAPTER 3 ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

CHAPTER 4

79 Transforming the Future of Healthcare in Qatar ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 3 BIBLIOGRAPHY CONCLUSION CHAPTER 4
Strategic Convening for Policy Advocacy and Global Collaboration

CHAPTER 4 STRATEGIC CONVENING FOR POLICY ADVOCACY AND GLOBAL COLLABORATION

This chapter highlights QF’s convening role in advancing both dialogue and action on precision health, primarily through the World Innovation Summit for Health (WISH). At this policy forum, we bring together global health experts and the latest available evidence and science to foster conversations on the most pressing healthcare issues in the world. This ongoing global collaboration is influencing healthcare policies worldwide, and Qatar is being positioned as an emerging center for innovation in healthcare and knowledge.

4.1 THE WORLD INNOVATION SUMMIT FOR HEALTH

WISH serves as a global health policy and advocacy platform. Scientists, entrepreneurs, innovators in healthcare, policy makers, and health ministry representatives from over 100 countries have met at WISH summits since 2013 to identify solutions to major health issues. Most notably, they explore ways in which innovation can enhance health delivery in Qatar and beyond.

81
Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 3 BIBLIOGRAPHY CONCLUSION CHAPTER 4

POLICY DIALOGUE REPORTS

As outputs from these summits, WISH has produced several policy dialogue reports that include actionable policy recommendations. Three reports relevant to the implementation of precision medicine are highlighted below (for details, see the bibliography at the end of this report).

Genomics in the Gulf Region and Islamic Ethics

In 2016, WISH produced a report on Genomics in the Gulf Region and Islamic Ethics to spark discussions on ethical and cultural issues in genomics, with particular consideration of the many operational challenges triggered by incidental genomic findings (Ghaly et al. 2016). Religion plays an integral part in the lives of people in this region, influencing their

values, health beliefs, and practices. The Islamic bioethical perspective addressed in this report provides expert perspectives for policy consideration. The report also covers the status of research in the Gulf region and international discourse on incidental findings.

Precision Medicine: A Global Action Plan for Impact

Precision medicine is growing in momentum. Achievements in scientific research have enabled a better understanding of diseases, with scientists now able to alter treatments or develop new therapies and preventative techniques to combat diseases based on an individual’s genetic and personal characteristics. However, despite recent breakthroughs, significant challenges and barriers remain, with implications for the broad implementation and integration of

precision medicine in clinical practice globally. The report, Precision Medicine: A Global Action Plan for Impact (Dzau et al. 2016), emphasizes the need for stakeholders to collaborate across sectors and countries to create an environment that is conducive to precision medicine in four areas:

• Patient and public engagement

• Implementation

• Data ownership, privacy, and sharing

• Evidence generation

This report provides a blueprint for precision medicine and an action plan that can be used by policymakers worldwide to generate their own action plans.

The Future of Precision Medicine: Healthcare Innovation through Precision Medicine

In 2020, WISH published The Future of Precision Medicine: Healthcare Innovation through Precision Medicine, which explores factors affecting the continued development of precision medicine, sustained investment, associated risks, and innovations (Qoronfleh 2020). The paper provides key policy considerations for decision-making, i.e., for harmonizing precision medicine actions, and offers key recommendations for fast-tracking implementation. Recommendations include creating community awareness of precision medicine and developing education programs; engaging and empowering patients; developing appropriate infrastructure and information management systems; integrating precision medicine into a standard healthcare system; and ensuring access to care. All these actions have been adopted in Qatar.

GLOBAL POLICY FORUMS ON GENOMICS

Precision Medicine: A Global Action Plan for Impact (Dzau et al. 2016) emphasizes the importance of creating an international network of organizations to help fulfill a unified vision for the application and integration of precision medicine into medical frameworks worldwide. Beyond the WISH platform, QF is engaged in global policy forums on genomics organized by Public Policy Projects in the United Kingdom, and our collaboration with several leading international research institutions has helped position the new evidence on the Qatari and Arab genome within the global discourse. For example, HMC is a member of the organizing committee of the Personalized Medicine Coalition (based in the United States) and Genomic England, both excellent leveraging opportunities.

Locally, QF hosts thematic international scientific conferences to share evidence and foster dialogue, including Sidra Medicine’s flagship Precision Medicine and Functional Genomics Conference (held annually since 2014, the region’s longest running precision medicine conference), Qatar Genome Precision Medicine Symposia (held annually since 2015), the HMC Precision Medicine Conference (in 2021 and 2023), and HBKU’s Conference on Advances in Precision Medicine: Epigenetics and Precision Medicine (in 2021).

82 83 Transforming the Future of Healthcare in Qatar
Transforming the Future of Healthcare in Qatar CHAPTER 4 ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 3 BIBLIOGRAPHY CONCLUSION

CONCLUSION

Shaping the Future of Precision Medicine

ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES 85 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY 84 CONCLUSION

LOOKING AHEAD

In this report, we have seen the possibilities of precision medicine and how it can rapidly transform the way that healthcare is delivered to Qataris.

The future of precision medicine in Qatar is very promising. Over the last decade, QF’s foundational investments in biomedical research and precision medicine have yielded measurable results. Notably, new data produced on genetic variations specific to the Qatari population have resulted in a better understanding of the impact of variants on disease susceptibility, prevalence, progression, and responses to therapies. Qataris – especially Qatari children living with previously undiagnosed diseases – now have better chances of survival and more possibilities of leading healthier lives.

QF’s contribution to genomics and the rollout of precision medicine in healthcare settings has been catalytic. We have leveraged rapidly evolving technology, tools, and systems, and we have made significant investments in infrastructure, capacity building, and AI, with sustainability at the heart of everything we do.

In recent years, QF has focused on defining repeatable pathways for the wide-scale adoption of precision medicine. We are working in collaboration with MoPH, under their leadership, to implement key precision medicine interventions in public health care settings, particularly for chronic diseases, cardiometabolic diseases, and familial cancers. Precision medicine is now a reality in Qatar, and we are proud to have accompanied our nation on this journey.

Health has been a priority for QF since its inception in 1995. We are now at a critical stage in our journey to merge technology with social and human care. Precision health is an opportunity for us to lead not only in scientific discovery, but also in the delivery of personalized services. QF has long been a pioneer in health research, education, and community engagement. Precision health is the natural next step for us to empower and enable healthy and vibrant communities.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES 86 87 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION
88
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES CHAPTER 3 CHAPTER 4 CONCLUSION 89 BIBLIOGRAPHY
BIBLIOGRAPHY

Transforming the Future of Healthcare in Qatar

Abdi, M., et al. (2023). Genomic Architecture of Autism Spectrum Disorder in Qatar: The BARAKAQatar Study. Genome Medicine, 15, 81. https://doi. org/10.1186/s13073-023-01228-w.

Ahmed, I., et al. (2023). Improved Type 2 Diabetes Risk Stratification in the Qatar Biobank Cohort by Ensemble Learning Classifier Incorporating MultiTrait, Population-Specific, Polygenic Risk Scores (preprint).

Ahmed, S. M., et al. (2021). The Epidemiology, Clinical, Biochemical, Immunological and Radiological Features of Youth Onset Type 2 Diabetes Mellitus in the State of Qatar. Diabetology International, 13(2), 381–386. https://doi. org/10.1007/s13340-021-00548-9.

Al-Dewik, N., et al. (2018). Clinical Genetics and Genomic Medicine in Qatar. Molecular Genetics and Genomic Medicine, 6(5), 702–712. https://doi. org/10.1002/mgg3.474.

Al-Rajeh, S., et al. (1992). Werdnig Hoffman’s Disease (Spinal Muscular Atrophy Type I): A Clinical Study of 25 Saudi Nationals in Al-Khobar. Annals of Saudi Medicine, 12(1), 67–71. https://doi. org/10.5144/0256-4947.1992.67.

Al-Sarraj, Y., et al. (2021). Family-Based GenomeWide Association Study of Autism Spectrum Disorder in Middle Eastern Families. Genes, 12(5), 761. https://doi.org/10.3390/genes12050761.

Al-Thani, M., et al. (2017). Situation of Diabetes and Related Factors Among Qatari Adults: Findings from a Community-Based Survey. JMIR Diabetes, 2(1), e7. https://doi.org/10.2196/diabetes.7535.

Ali, H. G., et al. (2021). Gene Therapy for Spinal Muscular Atrophy: The Qatari Experience. Gene Therapy, 28(10-11), 676-680. https://doi.org/10.1038/ s41434-021-00273-7.

Ali, Z., & Elewa, H. (2019). The Effect of CYP2C19 and Nongenetic Factors on Clopidogrel Responsiveness in the MENA Region: A Systematic Review. Clinical Applied Thrombosis/ Hemostasis, 25, 1076029619875520. https://doi. org/10.1177/1076029619875520.

Alsamman, A. M., et al. (2022). Whole-Genome Sequencing of 100 Genomes Identifies a Distinctive Genetic Susceptibility Profile of Qatari Patients with Hypertension. Journal of Personalized Medicine, 12(5), 722. https://doi.org/10.3390/jpm12050722.

Alshaban, F., et al. (2019). Prevalence and Correlates of Autism Spectrum Disorder in Qatar: A National Study. Journal of Child Psychology and Psychiatry, 60(12), 1254–1268. https://doi.org/10.1111/ jcpp.13066.

Arafa, M. A., & Farhat, K. H. (2022). Why Cancer Incidence in the Arab Counties is much lower than other parts of the world? Journal of the Egyptian National Cancer Institute, 34(1), 41. https://doi. org/10.1186/s43046-022-00142-3.

Arafa, M. A., et al. (2020). Rising Cancer Rates in the Arab World: Now is the Time for Action. Eastern Mediterranean Health Journal, 26(6), 638–640. https://doi.org/10.26719/emhj.20.073.

Banire, B., Al-Thani, D., Qaraqe, M., Khowaja, K., & Mansoor, B. (2020). The Effects of Visual Stimuli on Attention in Children With Autism Spectrum Disorder: An Eye-Tracking Study. IEEE Access, 8, 225663–225674.

Banire, B., Al Thani, D., Qaraqe, M., & Mansoor, B. (2021). Face-Based Attention Recognition Model for Children with Autism Spectrum Disorder. Journal of Healthcare Informatics Research. https://doi. org/10.1007/s41666-021-00101-y.

Banire, B., Al Thani, D., & Qaraqe, M. (2023). One size does not fit all: Detecting attention in children with autism using machine learning. User Modeling and User-Adapted Interaction. https://doi.org/10.1007/ s11257-023-09371-0.

Banire, B., Al Thani, D., Qaraqe, M. et al. Impact of mainstream classroom setting on attention of children with autism spectrum disorder: an eyetracking study. Univ Access Inf Soc 20, 785–795 (2021). https://doi.org/10.1007/s10209-020-00749-0.

Bastaki, K., et al. (2021). Prescription Pattern and Off-Label Use of Antipsychotics in a Middle Eastern Population. Frontiers in Pharmacology, 12, 753845. https://doi.org/10.3389/fphar.2021.753845.

Belkadi A, Thareja G, Abbaszadeh F, Badii R, Fauman E, Albagha OME; Qatar Genome Program Research Consortium; Suhre K. Identification of PCSK9like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population. Cell Genom. 2022 Nov 15;3(1):100218. doi: 10.1016/j.xgen.2022.100218. PMID: 36777185; PMCID: PMC9903797.

Benslimane, F. M., et al. (2021). One Year of SARSCoV-2: Genomic Characterization of COVID-19 Outbreak in Qatar. Frontiers in Cellular and Infection Microbiology, 11, 768883. https://doi.org/10.3389/ fcimb.2021.768883.

Bertollini, R., et al. (2021). Associations of Vaccination and of Prior Infection with Positive PCR Test Results for SARS-CoV-2 in Airline Passengers Arriving in Qatar. Journal of the American Medical Association, 326(2), 185–188. https://doi.org/10.1001/ jama.2021.9970.

Chemaitelly, H., et al. (2021). Efficacy of Natural Immunity against SARS-CoV-2 Reinfection with the Beta Variant. New England Journal of Medicine, 385(27), 2585–2586. https://doi.org/10.1056/ nejmc2110300.

Diboun, I., et al. (2022). The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects. Frontiers in Genetics, 13, 927504. https:// doi.org/10.3389/fgene.2022.927504.

Dzau, V., et al. (2016). Precision Medicine: A Global Action Plan for Impact. WISH Forum Report. https:// wish.org.qa/reports/precision-medicine-a-globalaction-plan-for-impact/.

Elango, R., et al. (2023). Transcriptome profiling and network enrichment analyses identify subtype-specific therapeutic gene targets for breast cancer and their microRNA regulatory networks. Cell Death and Disease, 14(7), 415. https://doi. org/10.1038/s41419-023-05908-8.

Elashi, A. A., et al. (2022). The genetic spectrum of maturity-onset diabetes of the young (MODY) in Qatar, a population-based study. International Journal of Molecular Sciences, 24(1), 130. https:// doi.org/10.3390/ijms24010130.

Elfatih, A., et al. (2021). Actionable genomic variants in 6045 participants from the Qatar Genome Program. Human Mutation, 42(12), 1584-1601. https://doi.org/10.1002/humu.24278.

Fahed, A. C., et al. (2012). Diet, genetics, and disease: A focus on the Middle East and North Africa region. Journal of Nutrition and Metabolism, 2012, 109037. https://doi.org/10.1155/2012/109037.

Fakhro, K. A., et al. (2016). The Qatar genome: A population-specific tool for precision medicine in the Middle East. Human Genome Variation, 3, 16016. https://doi.org/10.1038/hgv.2016.16.

Forouzanfar, M. H., et al. (2015). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet, 386(10010), 2287-2323. https://doi.org/10.1016/S01406736(15)00128-2.

Forrest IS, Chaudhary K, Vy HMT, et al. (2022). Population-Based Penetrance of Deleterious Clinical Variants. JAMA. 2022;327(4):350–359. doi:10.1001/ jama.2021.2368

Frazier, T. W., et al. (2021). Social attention as a cross-cultural transdiagnostic neurodevelopmental risk marker. Autism Research, 14(9), 1873-1885. https://doi.org/10.1002/aur.2532.

Ghaly, M. (Ed.), et al. (2016). Genomics in the Gulf region and Islamic ethics. WISH Forum Report. Retrieved from https://wish.org.qa/reports/ genomics-in-the-gulf-region-and-islamic-ethics/

Haris, B., et al. (2021). Epidemiology, genetic landscape and classification of childhood diabetes mellitus in the state of Qatar. Journal of Diabetes Investigation, 12(12), 2141-2148. https://doi. org/10.1111/jdi.13610.

International Diabetes Federation. (2021). IDF Diabetes Atlas 2021 (10th ed.). http://www. diabetesatlas.org

Jithesh, P. V., et al. (2022). A population study of clinically actionable genetic variation affecting drug response from the Middle East. NPJ Genomic Medicine, 7(1), 10. https://doi.org/10.1038/s41525022-00281-5.

Kitzmiller, J. P., et al. (2016). Pharmacogenomics of statins: Understanding susceptibility to adverse effects. Pharmacogenomics and Personalized Medicine, 9, 97–106. https://doi.org/10.2147/PGPM. S86013.

Kuchenbaecker, K. B., et al. (2017). Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. Journal of the American Medical Association, 317(23), 2402–2416. https://doi.org/10.1001/jama.2017.7112.

90 91
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 REFERENCES CHAPTER 2 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY

Kumar, M., et al. (2021). Omouma: A prospective mother and child cohort aiming to identify early biomarkers of pregnancy complications in women living in Qatar. BMC Pregnancy and Childbirth, 21(1), 570. https://doi.org/10.1186/s12884-021-04029-4.

Lamari, T. (2023, April 1). Qatar centre makes major breakthrough in autism diagnosis. Gulf Times. Retrieved from www.gulf-times.com/article/658617/ qatar/qatar-centre-makes-major-breakthrough-inautism-diagnosis

Mabry, R. M., et al. (2010). Gender differences in prevalence of the metabolic syndrome in Gulf Cooperation Council countries: A systematic review. Diabetic Medicine, 27(5), 593–597. https://doi. org/10.1111/j.1464-5491.2010.02998.x.

Mbarek, H., et al. (2022). Qatar genome: Insights on genomics from the Middle East. Human Mutation, 43(4), 499–510. https://doi.org/10.1002/humu.24336.

Merico, D., et al. (2021). Homozygous duplication identified by whole genome sequencing causes LRBA deficiency. NPJ Genomic Medicine, 6(1), 96. https://doi.org/10.1038/s41525-021-00263-z.

Mesleh, A., et al. (2023). Blood proteomics analysis reveals potential biomarkers and convergent dysregulated pathways in autism spectrum disorder: A pilot study. International Journal of Molecular Sciences, 24(8), 7443. https://doi.org/10.3390/ ijms24087443.

Ministry of Public Health, State of Qatar. (2017). Guidance for the design, ethical review, and conduct of genomic research in Qatar. Retrieved from https:// research.moph.gov.qa/DepartmentalDocuments/ Guidance%20for%20the%20Design,%20 Ethical%20Review,%20and%20Conduct%20 of%20Genomic%20Research%20in%20Qatar. pdf?csrt=16566705229134832818

Ministry of Public Health, State of Qatar. (n.d.). National health strategy, 2018–2022: Our health, our future. Retrieved from https://andp.unescwa.org/ sites/default/files/2020-10/National%20Health%20 Strategy%202018-2022.pdf

Naik, A., & Decock, J. (2022). Targeting of lactate dehydrogenase C dysregulates the cell cycle and sensitizes breast cancer cells to DNA damage response targeted therapy. Molecular Oncology, 16(4), 885–903. https://doi.org/10.1002/18780261.13024.

Najjar, H., & Easson, A. (2010). Age at diagnosis of breast cancer in Arab nations. International Journal of Surgery, 8(6), 448–452. https://doi.org/10.1016/j. ijsu.2010.05.012.

National Diabetes Committee and Ministry of Public Health, State of Qatar. (2022). Qatar diabetes and cardiovascular disease risk factors research agenda. Retrieved from www.hamad.qa/EN/AllEvents/6QDEM-2022/Documents/National%20 Diabetes%20Research%20Strategy%20Agenda.pdf

Pagnamenta, A. T., et al. (2021). An ancestral 10bp repeat expansion in VWA1 causes recessive hereditary motor neuropathy. Brain, 144(2), 584–600. https://doi.org/10.1093/brain/awaa420.

Qatar Biobank. (2023). Annual report 2022–2023. 10th anniversary: A healthier future starts with you. Retrieved from https://www.qatarbiobank. org.qa/sites/default/files/2023-11/10%20Years%20

Annual%20Report%20EN-compressed.pdf

Qatar Foundation. (2021). Advertorial. Qoronfleh, M. W., et al. (2020). The future of medicine, healthcare innovation through precision medicine: Policy case study of Qatar. Life Sciences, Society and Policy, 16(1), 12. https://doi.org/10.1186/ s40504-020-00107-1.

Razali, R. M., et al. (2021). Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes. Nature Communications, 12(1), 5929. https://doi. org/10.1038/s41467-021-25287-y.

Rodriguez-Flores, J. L., et al. (2014). Exome sequencing identifies potential risk variants for Mendelian disorders at high prevalence in Qatar. Human Mutation, 35(1), 105–116. https://doi. org/10.1002/humu.22460.

Rodriguez-Flores, J. L., et al. (2022). The QChip1 knowledgebase and microarray for precision medicine in Qatar. NPJ Genomic Medicine, 7(1), 3. https://doi.org/10.1038/s41525-021-00270-0.

Roelands, J., et al. (2021). Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry. NPJ Breast Cancer, 7(1), 10. https://doi.org/10.1038/s41523-02100215-x.

Saad, M., Mokrab, Y., et al. (2022). Genetic predisposition to cancer across people of different ancestries in Qatar: A population-based, cohort study. Lancet Oncology, 23(3), 341–352. https://doi. org/10.1016/s1470-2045(21)00752-x.

Saad, M., El-Menyar, A., et al. (2022). Validation of polygenic risk scores for coronary heart disease in a Middle Eastern cohort using whole genome sequencing. Circulation. Genomic and Precision Medicine, 15(6), e003712. https://doi.org/10.1161/ CIRCGEN.122.003712.

Sadoun, E., et al. (2017). A birth cohort study in the Middle East: The Qatari Birth Cohort Study (QBiC) Phase I. BMC Public Health, 17(1), 836. https://doi. org/10.1186/s12889-017-4848-9.

Sherif, S., et al. (2022). The immune landscape of solid pediatric tumors. Journal of Experimental and Clinical Cancer Research, 41(1), 199. https://doi. org/10.1186/s13046-022-02397-z.

Sidra Medicine Research. (n.d.). Annual report 2021. Retrieved from https://www.sidra.org/sites/default/ files/inline-files/Sidra%20Research%20Report%20 21_English_FINAL%20WEB.pdf

Sidra Medicine Research. (n.d.). Annual report 2022. Retrieved from https://www.sidra.org/sites/default/ files/inline-files/research-publications-annualreport-en-2022.pdf

Thareja, G., et al. (2021). Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits. Nature Communications, 12(1), 1–10. https://doi. org/10.1038/s41467-021-21381-3.

Thomas, R., et al. (2020). Identification of two HLA-A*0201 immunogenic epitopes of lactate dehydrogenase C (LDHC): Potential novel targets for cancer immunotherapy. Cancer Immunology, Immunotherapy, 69(3), 449–463. https://doi. org/10.1007/s00262-020-02480-4.

Vishnubalaji, R., Radhakrishnan, V., & Alajez, N. M. (2023). Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes. Cells, 12(8), 1182. https://doi.org/10.3390/cells12081182.

Vishnubalaji, R., Radhakrishnan, V., & Alajez, N. M. (2021). Transcriptional Landscape Associated with TNBC Resistance to Neoadjuvant Chemotherapy Revealed by Single-Cell RNA-Seq. Molecular Therapy Oncolytics, 23, 151–162. https://doi. org/10.1016/j.omto.2021.09.002.

World Health Organization. (2020). Cancer Qatar 2020 Country Profile. https://www.who.int/ publications/m/item/cancer-qat-2020.

World Health Organization. (2021, December 13). Childhood Cancer: Key Facts. https://www.who.int/ news-room/fact-sheets/detail/cancer-in-children.

World Health Organization. (2015). Chronic Disease Risk Factor Surveillance, World Health Organisation Qatar Stepwise Report 2012. Qatar: Supreme Council of Health.

Yousri, N. A., et al. (2022). Metabolic and MetaboClinical Signatures of Type 2 Diabetes, Obesity, Retinopathy, and Dyslipidemia. Diabetes, 71(2), 184–205. https://doi.org/10.2337/db21-0490.

Yu F, Agrebi N, Mackeh R, Abouhazima K, KhudaBakhsh K, Adeli M, Lo B, Hassan A, Machaca K. Novel ORAI1 Mutation Disrupts Channel Trafficking Resulting in Combined Immunodeficiency. J Clin Immunol. 2021 Jul;41(5):1004-1015. doi: 10.1007/s10875-02101004-8. Epub 2021 Mar 1. PMID: 33650027; PMCID: PMC8249264.

Zhang, K., et al. (2023). Global, Regional, and National Epidemiology of Diabetes in Children from 1990 to 2019. JAMA Pediatrics, 177(8), 837–846. https://doi.org/10.1001/jamapediatrics.2023.2029.

Zhou, W., et al. (2022). Global Biobank Meta-Analysis Initiative: Powering Genetic Discovery Across Human Disease. Cell Genomics, 2(10), 100192. https://doi. org/10.1016/j.xgen.2022.100192.

Transforming the Future of Healthcare in Qatar
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 REFERENCES 92 93 CHAPTER 3 CHAPTER 4 CONCLUSION BIBLIOGRAPHY

REFERENCES

Abdel Aleem, A., Elsaid, M. F., Chalhoub, N., Chakroun, A., Mohamed, K. A. S., AlShami, R., Kuzu, O., Mohamed, R. B., Ibrahim, K., AlMudheki, N., Osman, O., Ross, M. E., & ELalamy, O. (2020). Clinical and genomic characteristics of LAMA2 related congenital muscular dystrophy in a patients’ cohort from Qatar. A population specific founder variant. Neuromuscular Disorders, 30(6), 457–471. https://doi.org/10.1016/j.nmd.2020.03.009

Abdelalim, E. M. (2013). Molecular Mechanisms Controlling the Cell Cycle in Embryonic Stem Cells. Stem Cell Reviews and Reports, 9(6), 764–773. https://doi.org/10.1007/s12015-013-9469-9

Abdelalim, E. M., & Tooyama, I. (2014). Knockdown of p53 suppresses Nanog expression in embryonic stem cells. Biochemical and Biophysical Research Communications, 443(2), 652–657. https://doi. org/10.1016/j.bbrc.2013.12.030

Abdel-Motal, U. M., Al-Shaibi, A., Elawad, M., & Lo, B. (2019). Zero tolerance! A perspective on monogenic disorders with defective regulatory T cells and IBD-like disease. Immunological Reviews, 287(1), 236–240. https://doi.org/10.1111/imr.12717

Abdesselem H., Madani A., Hani A., Al-Noubi M., Goswami N., Ben Hamidane H., Billing A.M., Pasquier J., Bonkowski M.S., Halabi N., Dalloul R., Sheriff M.Z., Mesaeli N., ElRayess M., Sinclair D.A., Graumann J., Mazloum N.A. (2016). SIRT1 limits adipocyte hyperplasia through c-Myc inhibition. Journal of Biological Chemistry, 291(5)

Abdi M, Aliyev E., Trost B., Kohailan M., et al. Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study. Genome Med. 2023 Oct 7;15(1):81. doi: 10.1186/s13073-02301228-w. PMID: 37805537; PMCID: PMC10560429.

Abdi, I. Y., Bartl, M., Dakna, M., Abdesselem, H., Majbour, N., Trenkwalder, C., El-Agnaf, O., & Mollenhauer, B. (2023). Cross-sectional proteomic expression in Parkinson’s disease-related proteins in drug-naïve patients vs healthy controls with longitudinal clinical follow-up. Neurobiology of Disease, 177, 105997. https://doi.org/10.1016/j. nbd.2023.105997

Abdi, I. Y., Majbour, N. K., Willemse, E. A. J., van de Berg, W. D. J., Mollenhauer, B., Teunissen, C. E., & El-Agnaf, O. M. (2021). Preanalytical Stability of CSF Total and Oligomeric Alpha-Synuclein. Frontiers in Aging Neuroscience, 13. https://doi.org/10.3389/ fnagi.2021.638718

Abdul Kader S., Dib S., Achkar I.W., Thareja G., Suhre K., Rafii A., Halama A. (2022). Defining the landscape of metabolic dysregulations in cancer metastasis. Clinical and Experimental Metastasis, 39(2)

Abdul Rahim, H. F., Ismail, S. I., Hassan, A., Fadl, T., Khaled, S. M., Shockley, B., Nasrallah, C., Qutteina, Y., Elmaghraby, E., Yasin, H., Darwish, D., Fakhro, K. A., Badji, R., Al-Muftah, W., Afifi, N., & Althani, A. (2020). Willingness to participate in genome testing: A survey of public attitudes from Qatar. Journal of Human Genetics, 65(12), 1067–1073. https://doi. org/10.1038/s10038-020-0806-y

Abente E.J., Subramanian M., Ramachandran V., Najafi-Shoushtari S.H. (2016). MicroRNAs in obesityassociated disorders. Archives of Biochemistry and Biophysics, 589

Abotaleb M., Kubatka P., Caprnda M., Varghese E., Zolakova B., Zubor P., Opatrilova R., Kruzliak P., Stefanicka P., Büsselberg D. (2018). Chemotherapeutic agents for the treatment of metastatic breast cancer: An update. Biomedicine and Pharmacotherapy, 101

Abou Ziki M.D., Strulovici-Barel Y., Hackett N.R., Rodriguez-Flores J.L., Mezey J.G., Salit J., Radisch S., Hollmann C., Chouchane L., Malek J., Zirie M.A., Jayyuosi A., Gotto A.M., Jr., Crystal R.G. (2014). Prevalence of the apolipoprotein e arg145cys dyslipidemia at-risk polymorphism in africanderived populations. American Journal of Cardiology, 113(2)

Abotaleb M., Samuel S.M., Varghese E., Varghese S., Kubatka P., Liskova A., Büsselberg D. (2019). Flavonoids in cancer and apoptosis. Cancers, 11(1)

Abouelghar, A., Hasnah, R., Taouk, G., Saad, M., & Karam, M. (2018). Prognostic values of the mRNA expression of natural killer receptor ligands and their association with clinicopathological features in breast cancer patients. Oncotarget, 9(43), 27171–27196. https://doi.org/10.18632/oncotarget.25506

AbouHashem, N., Zaied, R. E., Al-Shafai, K., Nofal, M., Syed, N., & Al-Shafai, M. (2022). The Spectrum of Genetic Variants Associated with the Development of Monogenic Obesity in Qatar. Obesity Facts, 15(3), 357–365. https://doi.org/10.1159/000521851

Aboulmaouahib B., Kastenmüller G., Suhre K., Zöllner S., Weissensteiner H., Prehn C., Adamski J., Gieger C., Wang-Sattler R., Lichtner P., Strauch K., Flaquer A. (2022). First mitochondrial genomewide association study with metabolomics. Human Molecular Genetics, 31(19)

95
Transforming the Future of Healthcare in Qatar
REFERENCES CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2
Publications on Precision Medicine from Qatar Foundation from 2012-2023

Abu-Farha, M., Tiss, A., Abubaker, J., Khadir, A., Al-Ghimlas, F., Al-Khairi, I., Baturcam, E., Cherian, P., Elkum, N., Hammad, M., John, J., Kavalakatt, S., Warsame, S., Behbehani, K., Dermime, S., & Dehbi, M. (2013). Proteomics Analysis of Human Obesity Reveals the Epigenetic Factor HDAC4 as a Potential Target for Obesity. PLOS ONE, 8(9), e75342. https:// doi.org/10.1371/journal.pone.0075342

Abu-Raddad, L. J. (2021). A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes. Scientific Reports, 11(1), 1811. https://doi. org/10.1038/s41598-02181385-3

Abu-Raddad L.J., Chemaitelly H., Ayoub H.H., Coyle P., Malek J.A., Ahmed A.A., Mohamoud Y.A., Younuskunju S., Tang P., Kanaani Z.A., Kuwari E.A., Butt A.A., Jeremijenko A., Kaleeckal A.H., Latif A.N., Shaik R.M., Abdul Rahim H.F., Nasrallah G.K., Yassine H.M., Kuwari M.G.A., Romaihi H.E.A., Al-Thani M.H., Khal A.A., Bertollini R. (2021). Introduction and expansion of the SARS-CoV-2 B.1.1.7 variant and reinfectionsAU in Qatar:: Inthetitle A ; Ichan nationally representative cohort study. PLoS Medicine, 18(12)

Abu-Raddad, L. J., Chemaitelly, H., & Bertollini, R. (2022). Waning mRNA1273 vaccine effectiveness against SARS-CoV-2 infection in Qatar. New England Journal of Medicine, 386(11), 1091-1093. https://doi. org/10.1056/ nejmc2119432

Abu-Raddad, L. J., Chemaitelly, H., & Butt, A. A. (2021). Effectiveness of the BNT162b2 Covid-19 vaccine against the B.1.1.7 and B.1.351 variants. New England Journal of Medicine, 385(2), 187-189. https://doi. org/10.1056/nejmc2104974

Abu-Raddad L.J., Chemaitelly H., Coyle P., Malek J.A., Ahmed A.A., Mohamoud Y.A., Younuskunju S., Ayoub H.H., Al Kanaani Z., Al Kuwari E., Butt A.A., Jeremijenko A., Kaleeckal A.H., Latif A.N., Shaik R.M., Abdul Rahim H.F., Nasrallah G.K., Yassine H.M., Al Kuwari M.G., Al Romaihi H.E., Al-Thani M.H., Al Khal A., Bertollini R. (2021). SARS-CoV-2 antibody-positivity protects against reinfection for at least seven months with 95% efficacy.

EClinicalMedicine, 35

Abu-Raddad L.J., Chemaitelly H., Malek J.A., Ahmed A.A., Mohamoud Y.A., Younuskunju S., Al Kanaani Z., Al Khal A., Al Kuwari E., Butt A.A., Coyle P., Jeremijenko A., Kaleeckal A.H., Latif A.N., Shaik R.M., Abdul Rahim H.F., Yassine H.M., Al Kuwari M.G., Al Romaihi H.E., Al-Thani M.H., Bertollini

R. (2021). Two prolonged viremic SARS-CoV-2 infections with conserved viral genome for two months. Infection, Genetics and Evolution, 88

Abu-Raddad L.J., Chemaitelly H., Malek J.A., Ahmed A.A., Mohamoud Y.A., Younuskunju S., Ayoub H.H., Al Kanaani Z., Al Khal A., Al Kuwari E., Butt A.A., Coyle P., Jeremijenko A., Kaleeckal A.H., Latif A.N., Shaik

R.M., Abdul Rahim H.F., Yassine H.M., Al Kuwari

M.G., Al Romaihi H.E., Al-Thani M.H., Bertollini R. (2021). Assessment of the Risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reinfection in an Intense Reexposure Setting. Clinical Infectious Diseases, 73(7)

Abu-Raddad L.J., Chemaitelly H., Yassine H.M., Benslimane F.M., Al Khatib H.A., Tang P., Malek J.A., Coyle P., Ayoub H.H., Al Kanaani Z., Al Kuwari

E., Jeremijenko A., Kaleeckal A.H., Latif A.N., Shaik

R.M., Abdul Rahim H.F., Nasrallah G.K., Al Kuwari

M.G., Al Romaihi H.E., Al-Thani M.H., Al Khal A., Butt A.A., Bertollini R. (2021). Pfizer-BioNTech mRNA BNT162b2 Covid-19 vaccine protection against variants of concern after one versus two doses.

Journal of Travel Medicine, 28(7)

Abu-Raddad, L. J., Chemaitelly, H., Ayoub, H. H., AlMukdad, S., Yassine, H. M., Al-Khatib, H. A., Smatti, M. K., Tang, P., Hasan, M. R., Coyle, P., Al-Kanaani, Z., Al-Kuwari, E., Jeremijenko, A., Kaleeckal, A. H., Latif, A. N., Shaik, R. M., Abdul-Rahim, H. F., Nasrallah, G. K., Al-Kuwari, M. G., … & Bertollini, R. (2022). Effect of mRNA vaccine boosters against SARSCoV-2 Omicron infection in Qatar. New England Journal of Medicine, 386(19), 1804-1816. https://doi. org/10.1056/NEJMoa2200797

Abusara, Z., Haider, I., Moo, E. K., Miller, S., Timmermann, S., & Herzog, W. (2022). Chondrocyte morphology as an indicator of collagen network integrity. Connective Tissue Research, 63(4), 319–328. https://doi.org/10.1080/03008207.2021.1922398

Adamcik, J., Sánchez-Ferrer, A., Ait-Bouziad, N., Reynolds, N. P., Lashuel, H. A., & Mezzenga, R. (2016). Microtubule-Binding R3 Fragment from Tau Self-Assembles into Giant Multistranded Amyloid Ribbons. Angewandte Chemie International Edition, 55(2), 618–622. https://doi.org/10.1002/ anie.201508968

Adamski J., Suhre K. (2013). Metabolomics platforms for genome wide association studies-linking the genome to the metabolome. Current Opinion in Biotechnology, 24(1)

Adhya, Z., El Anbari, M., Anwar, S., Mortimer, A., Marr, N., & Karim, M. Y. (2019). Soluble TNF-R1, VEGF and other cytokines as markers of disease activity in systemic lupus erythematosus and lupus nephritis. Lupus, 28(6), 713–721. https://doi. org/10.1177/0961203319845487

Agakidou, E., Agakidis, C., Kambouris, M., Printza, N., Farini, M., Vourda, E., Gerou, S., & Sarafidis, K. (2020). A Novel Mutation of V P S 33 B Gene Associated with Incomplete ArthrogryposisRenal Dysfunction-Cholestasis Phenotype. Case Reports in Genetics, 2020, 1–8. https://doi. org/10.1155/2020/8872294

Aghadi, M., Elgendy, R., & Abdelalim, E. M. (2022). Loss of FOXA2 induces ER stress and hepatic steatosis and alters developmental gene expression in human iPSC-derived hepatocytes. Cell Death & Disease, 13(8), Article 8. https://doi.org/10.1038/ s41419-022-05158-0

Aghadi, M., Karam, M., & Abdelalim, E. M. (2022). Robust Differentiation of Human iPSCs into a Pure Population of Adipocytes to Study Adipocyte-Associated Disorders. Journal of Visualized Experiments: JoVE, 180. https://doi. org/10.3791/63311

Aguiar-Pulido V., Wolujewicz P., Martinez-Fundichely A., Elhaik E., Thareja G., Aleem A.A., Chalhoub N., Cuykendall T., Al-Zamer J., Lei Y., El-Bashir H., Musser J.M., Al-Kaabi A., Shaw G.M., Khurana E., Suhre K., Mason C.E., Elemento O., Finnell R.H., Elizabeth Ross M. (2021). Systems biology analysis of human genomes points to key pathways conferring spina bifida risk. Proceedings of the National Academy of Sciences of the United States of America, 118(51)

Ahmad, S., Ali, M. Z., Muzammal, M., Mir, F. A., & Khan, M. A. (2022). The molecular genetics of human appendicular skeleton. Molecular Genetics and Genomics, 297(5), 1195–1214. https://doi. org/10.1007/s00438-022-01930-1

Ahmed I., Karedath T., Al-Dasim F.M., Malek J.A. (2019). Identification of human genetic variants controlling circular RNA expression. RNA, 25(12)

Ahmed I., Karedath T., Andrews S.S., Al-Azwani I.K., Mohamoud Y.A., Querleu D., Rafii A., Malek J.A. (2016). Altered expression pattern of circular RNAs in primary and metastatic sites of epithelial ovarian carcinoma. Oncotarget, 7(24)

Ahmed, L. H. Μ., Butler, A. E., Dargham, S. R., Latif, A., Ahmed, E. A., Hassan, A., & Atkin, S. L. (2021). Relationship between total vitamin D metabolites and complications in patients with type 2 diabetes. Biomedical Reports, 14(1), 1–1. https://doi. org/10.3892/br.2020.1394

Ahmed, L. H. M., Butler, A. E., Dargham, S. R., Latif, A., Chidiac, O. M., Atkin, S. L., & Abi Khalil, C. (2020). Vitamin D3 metabolite ratio as an indicator of vitamin D status and its association with diabetes complications. BMC Endocrine Disorders, 20(1), 161. https://doi.org/10.1186/s12902-020-00641-1

Ahmed, L. H. M., Butler, A. E., Dargham, S. R., Latif, A., Robay, A., Chidiac, O. M., Jayyousi, A., Al Suwaidi, J., Crystal, R. G., Atkin, S. L., & Abi Khalil, C. (2020). Association of vitamin D2 and D3 with type 2 diabetes complications. BMC Endocrine Disorders, 20(1), 65. https://doi.org/10.1186/s12902-020-00549-w

Ahmed R., Augustine R., Valera E., Ganguli A., Mesaeli N., Ahmad I.S., Bashir R., Hasan A. (2022). Spatial mapping of cancer tissues by OMICS technologies. Biochimica et Biophysica ActaReviews on Cancer, 1877(1)

Ahmed W.S., Philip A.M., Biswas K.H.(2022). Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex(Front. Mol. Biosci., (2022), 9, (846996), 10.3389/fmolb.2022.846996).Frontiers in Molecular Biosciences,9.

Aigha, I. I., & Abdelalim, E. M. (2023). P53 Inhibition in Pancreatic Progenitors Enhances the Differentiation of Human Pluripotent Stem Cells into Pancreatic β-Cells. Stem Cell Reviews and Reports. https://doi.org/10.1007/s12015-023-10509-1

Aigha, I. I., Memon, B., Elsayed, A. K., & Abdelalim, E. M. (2018). Differentiation of human pluripotent stem cells into two distinct NKX6.1 populations of pancreatic progenitors. Stem Cell Research & Therapy, 9(1), 83. https://doi.org/10.1186/s13287018-0834-0

Akbar S., Raza A., Mohsin R., Kanbour A., Qadri S., Parray A., Zar Gul A.R., Philip A., Vijayakumar S., Merhi M., Hydrose S., Inchakalody V.P., Al-Abdulla R., Abualainin W., Sirriya S.A., Al-Bozom I., Uddin S., Khan O.M., Mohamed Ibrahim M.I., Al Homsi U., Dermime S.(2023). Circulating exosomal immunooncological checkpoints and cytokines are potential biomarkers to monitor tumor response to antiPD-1/PD-L1 therapy in non-small cell lung cancer patients.Frontiers in Immunology,13.

96 97 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Akbarzadeh V., Mumtaz G.R., Awad S.F., Weiss H.A., Abu-Raddad L.J. (2016). HCV prevalence can predict HIV epidemic potential among people who inject drugs: Mathematical modeling analysis. BMC Public Health, 16(1)

Akhtar, S., Ali, T. A., Faiyaz, A., Khan, O. S., Raza, S. S., Kulinski, M., Omri, H. E., Bhat, A. A., & Uddin, S. (2020). Cytokine-Mediated Dysregulation of Signaling Pathways in the Pathogenesis of Multiple Myeloma. International Journal of Molecular Sciences, 21(14), 5002. https://doi.org/10.3390/ijms21145002

Akil, A.-S. A.-S., Jerman, L. F., Yassin, E., Padmajeya, S. S., Al-Kurbi, A., & Fakhro, K. A. (2020). Reading between the (Genetic) Lines: How Epigenetics is Unlocking Novel Therapies for Type 1 Diabetes. Cells, 9(11), 2403. https://doi.org/10.3390/ cells9112403

Akobeng, A. K., Singh, P., Kumar, M., & Al Khodor, S. (2020). Role of the gut microbiota in the pathogenesis of coeliac disease and potential therapeutic implications. European Journal of Nutrition, 59(8), 3369–3390. https://doi.org/10.1007/ s00394-020-02324-y

Aksoy, I., Jauch, R., Eras, V., Chng, W. A., Chen, J., Divakar, U., Ng, C. K. L., Kolatkar, P. R., & Stanton, L. W. (2013). Sox Transcription Factors Require Selective Interactions with Oct4 and Specific Transactivation Functions to Mediate Reprogramming. Stem Cells, 31(12), 2632–2646. https://doi.org/10.1002/stem.1522

Al-Akl, N. S., Thompson, R. I., & Arredouani, A. (2021). Reduced odds of diabetes associated with high plasma salivary α-amylase activity in Qatari women: A cross-sectional study. Scientific Reports, 11(1), Article 1. https://doi.org/10.1038/s41598-02190977-y

Al-Akl, N., Thompson, R. I., & Arredouani, A. (2020). High plasma salivary α-amylase, but not high AMY1 copy number, associated with low obesity rate in Qatari adults: Cross-sectional study. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/ s41598-020-74864-6

Al-Akl, N., Thompson, R. I., & Arredouani, A. (2022). Elevated levels of salivary α- amylase activity in saliva associated with reduced odds of obesity in adult Qatari citizens: A cross-sectional study. PLOS ONE, 17(3), e0264692. https://doi.org/10.1371/ journal.pone.0264692

Al Akl, N. S., Haoudi, E. N., Bensmail, H., & Arredouani, A. (2023). The triglyceride glucosewaist-to-height ratio outperforms obesity and other triglyceride-related parameters in detecting prediabetes in normal-weight Qatari adults: A cross-sectional study. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1086771

Al Akl, N. S., Khalifa, O., Errafii, K., & Arredouani, A. (2021). Association of dyslipidemia, diabetes and metabolic syndrome with serum ferritin levels: A middle eastern population-based cross-sectional study. Scientific Reports, 11(1), Article 1. https://doi. org/10.1038/s41598-021-03534-y

Al Ameri, W., Ahmed, I., Al-Dasim, F. M., Ali Mohamoud, Y., Al-Azwani, I. K., Malek, J. A., & Karedath, T. (2019). Cell type-specific TGF-β mediated EMT in 3D and 2D models and its reversal by TGF-β receptor kinase inhibitor in ovarian cancer cell lines. International journal of molecular sciences, 20(14), 3568.

Al Hashmi M., Sastry K.S., Silcock L., Chouchane L., Mattei V., James N., Mathew R., Bedognetti D., De Giorgi V., Murtas D., Liu W., Chouchane A., Temanni R., Seliger B., Wang E., Marincola F.M., Tomei S. (2020). Differential responsiveness to BRAF inhibitors of melanoma cell lines BRAF V600Emutated. Journal of Translational Medicine, 18(1)

Al Khoury C., Nemer G., Guillot J., Tokajian S.(2022). Absolute quantification of gene expression in drug discovery using RT-qPCR: Case of a drug used in the treatment of leishmaniasis.Research in Veterinary Science,153.

Alam R., Samad A., Ahammad F., Nur S.M., Alsaiari A.A., Imon R.R., Talukder M.E.K., Nain Z., Rahman M.M., Mohammad F., Karpiński T.M.(2023). In silico formulation of a next-generation multiepitope vaccine for use as a prophylactic candidate against Crimean-Congo hemorrhagic fever.BMC Medicine,21(1)

Al-Bader SB, Alsulaiman R, Bugrein H, Ben Omran T, Abbaszadeh F, Bakheet N, Apsa Kusasi S, Abdou N, Solomon BD, Ghazouani H. Cancer genetics program: Follow-up on clinical genetics and genomic medicine in Qatar. Mol Genet Genomic Med. 2018 Nov;6(6):865-872. doi: 10.1002/mgg3.534. Epub 2018 Dec 16. PMID: 30556325; PMCID: PMC6305668.

Albrecht E., Waldenberger M., Krumsiek J., Evans A.M., Jeratsch U., Breier M., Adamski J., Koenig W., Zeilinger S., Fuchs C., Klopp N., Theis F.J.,

Wichmann H.-E., Suhre K., Illig T., Strauch K., Peters A., Gieger C., Kastenmüller G., Doering A., Meisinger C. (2014). Metabolite profiling reveals new insights into the regulation of serum urate in humans. Metabolomics, 10(1)

Aldaalis A., Bengoechea-Alonso M.T., Ericsson J.(2022). The SREBP-dependent regulation of cyclin D1 coordinates cell proliferation and lipid synthesis. Frontiers in Oncology,12.

Al-Dewik N, Al-Mureikhi M, Shahbeck N, Ali R, Al-Mesaifri F, Mahmoud L, Othman A, AlMulla M, Sulaiman RA, Musa S, Abdoh G, El-Akouri K, Solomon BD, Ben-Omran T. Clinical genetics and genomic medicine in Qatar. Mol Genet Genomic Med. 2018 Sep;6(5):702-712. doi: 10.1002/mgg3.474. PMID: 30264509; PMCID: PMC6160705.

Al-Dewik, N., Mohd, H., Al-Mureikhi, M., Ali, R., Al-Mesaifri, F., Mahmoud, L., Shahbeck, N., ElAkouri, K., Almulla, M., Al Sulaiman, R., Musa, S., Al-Marri, A. A., Richard, G., Juusola, J., Solomon, B. D., Alkuraya, F. S., & Ben-Omran, T. (2019). Clinical exome sequencing in 509 Middle Eastern families with suspected Mendelian diseases: The Qatari experience. American Journal of Medical Genetics Part A, 179(6), 927–935. https://doi.org/10.1002/ ajmg.a.61126

Aldosari, M., Fombonne, E., Aldhalaan, H., Ouda, M., Elhag, S., Alshammari, H., Ghazal, I., Alsaleh, A., Alqadoumi, T., Thomson, R., Al Khasawneh, M., Tolefat, M., & Alshaban, F. (2019). Validation of the Arabic version of the Social Communication Questionnaire. Autism, 23(7), 1655–1662. https://doi. org/10.1177/1362361318816065

Aldous, E. K., Toor, S. M., Parray, A., Al-Sarraj, Y., Diboun, I., Abdelalim, E. M., Arredouani, A., ElAgnaf, O., Thornalley, P. J., Akhtar, N., Pananchikkal, S. V., Shuaib, A., Alajez, N. M., & Albagha, O. M. E. (2022). Identification of Novel Circulating miRNAs in Patients with Acute Ischemic Stroke. International Journal of Molecular Sciences, 23(6), 3387. https:// doi.org/10.3390/ijms23063387

Aldous, N., Elsayed, A. K., Alajez, N. M., & Abdelalim, E. M. (2023). iPSC-Derived Pancreatic Progenitors Lacking FOXA2 Reveal Alterations in miRNA Expression Targeting Key Pancreatic Genes. Stem Cell Reviews and Reports. https://doi.org/10.1007/ s12015-023-10515-3

Al-Farsi H., Al-Azwani I., Malek J.A., Chouchane L., Rafii A., Halabi N.M. (2022). Discovery of new therapeutic targets in ovarian cancer through identifying significantly non-mutated genes. Journal of Translational Medicine, 20(1)

Alhaddad A.Y., Aly H., Gad H., Elgassim E., Mohammed I., Baagar K., Al-Ali A., Sadasivuni K.K., Cabibihan J.-J., Malik R.A. (2023). Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions. Sensors, 23(11)

Alhaj Sulaiman A., Ali R., Aouida M., Moovarkumudalvan B., Ramotar D.(2022). The histone H2B Arg95 residue links the pheromone response pathway to rapamycin-induced G1 arrest in yeast.Scientific Reports,12(1)

Alhujaily, M., Abbas, H., Xue, M., de la Fuente, A., Rabbani, N., & Thornalley, P. J. (2021). Studies of Glyoxalase 1-Linked Multidrug Resistance Reveal Glycolysis-Derived Reactive Metabolite, Methylglyoxal, Is a Common Contributor in Cancer Chemotherapy Targeting the Spliceosome. Frontiers in Oncology, 11, 748698. https://doi.org/10.3389/ fonc.2021.748698

Ali F., Kalva S.N., Mroue K.H., Keyan K.S., Tong Y., Khan O.M., Koç M.(2023). Degradation assessment of Mg-Incorporated 3D printed PLA scaffolds for biomedical applications.Bioprinting,35.

Ali, F.M.H., Nikoloski, Z., Reka, H. et al. The diabetes-obesity-hypertension nexus in Qatar: evidence from the World Health Survey. Popul Health Metrics 12, 18 (2014). https://doi. org/10.1186/1478-7954-12-18

Ali, G., & Abdelalim, E. M. (2022). Directed differentiation of human pluripotent stem cells into epidermal keratinocyte-like cells. STAR Protocols, 3(3), 101613. https://doi.org/10.1016/j. xpro.2022.101613

Ali G., Elsayed A.K., Nandakumar M., Bashir M., Younis I., Abu Aqel Y., Memon B., Temanni R., Abubaker F., Taheri S., Abdelalim E.M. (2020). Keratinocytes Derived from Patient-Specific Induced Pluripotent Stem Cells Recapitulate the Genetic Signature of Psoriasis Disease. Stem Cells and Development, 29(7)

Ali, G., Habbab, W., Alkhadairi, G., Al-Shaban, F. A., & Stanton, L. W. (2022). Generation of induced pluripotent stem cell lines from nonaffected parents and monozygotic triplets affected with autism spectrum disorder and epilepsy. Stem Cell Research, 65, 102943. https://doi.org/10.1016/j. scr.2022.102943

98 99
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Ali HG, Ibrahim K, Elsaid MF, Mohamed RB, Abeidah MIA, Al Rawwas AO, Elshafey K, Almulla H, El-Akouri K, Almulla M, Othman A, Musa S, Al-Mesaifri F, Ali R, Shahbeck N, Al-Mureikhi M, Alsulaiman R, Alkaabi S, Ben-Omran T. Gene therapy for spinal muscular atrophy: the Qatari experience. Gene Ther. 2021 Nov;28(10-11):676-680. doi: 10.1038/s41434021-00273-7. Epub 2021 Jul 19. PMID: 34276047; PMCID: PMC8599021.

Al-Ishaq R.K., Koklesova L., Kubatka P., Büsselberg D. (2022). Immunomodulation by Gut Microbiome on Gastrointestinal Cancers: Focusing on Colorectal Cancer. Cancers, 14(9)

AL-Ishaq R.K., Samuel S.M., Büsselberg D. (2023). The Influence of Gut Microbial Species on Diabetes Mellitus. International Journal of Molecular Sciences, 24(9)

Al-Ishaq R.K., Skariah S., Büsselberg D. (2021). Bacteriophage treatment: Critical evaluation of its application on world health organization priority pathogens. Viruses, 13(1)

Ali Moussa, H. Y., Manaph, N., Ali, G., Maacha, S., Shin, K. C., Ltaief, S. M., Gupta, V., Tong, Y., Ponraj, J., Salloum-Asfar, S., Mansour, S., Al-Shaban, F. A., Kim, H.-G., Stanton, L. W., Grivel, J.-C., Abdulla, S. A., Al-Shammari, A. R., & Park, Y. (2022). Single Extracellular Vesicle Analysis Using Flow Cytometry for Neurological Disorder Biomarkers. Frontiers in Integrative Neuroscience, 16. https://doi. org/10.3389/fnint.2022.879832

Ali Moussa, H. Y., & Park, Y. (2022). Electrostatic regulation of the cis- and trans-membrane interactions of synaptotagmin-1. Scientific Reports, 12(1), Article 1. https://doi.org/10.1038/s41598-02226723-9

Ali Moussa, H. Y., Shin, K. C., Ponraj, J., Kim, S. J., Ryu, J.-K., Mansour, S., & Park, Y. (n.d.). Requirement of Cholesterol for Calcium-Dependent Vesicle Fusion by Strengthening Synaptotagmin1-Induced Membrane Bending. Advanced Science, 2206823. https://doi.org/10.1002/advs.202206823

Al Muftah W.A., Al-Shafai M., Zaghlool S.B., Visconti A., Tsai P.-C., Kumar P., Spector T., Bell J., Falchi M., Suhre K. (2016). Epigenetic associations of type 2 diabetes and BMI in an Arab population. Clinical Epigenetics, 8(1)

Ali, M. H. M., Rakib, F., Abdelalim, E. M., Limbeck, A., Mall, R., Ullah, E., Mesaeli, N., McNaughton,

D., Ahmed, T., & Al-Saad, K. (2018). FourierTransform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain. Frontiers in Neuroscience, 12. https://doi.org/10.3389/ fnins.2018.00647

Ali, M. H. M., Rakib, F., Al-Saad, K., Al-Saady, R., & Goormaghtigh, E. (2019). An Innovative Platform Merging Elemental Analysis and Ftir Imaging for Breast Tissue Analysis. Scientific Reports, 9(1), Article 1. https://doi.org/10.1038/s

41598-019-46056-4

Ali, M. H. M., Toor, S. M., Rakib, F., Mall, R., Ullah, E., Mroue, K., Kolatkar, P. R., Al-Saad, K., & Elkord, E. (2019). Investigation of the Effect of PD-L1 Blockade on Triple Negative Breast Cancer Cells Using Fourier Transform Infrared Spectroscopy. Vaccines, 7(3), Article 3. https://doi.org/10.3390/vaccines7030109

Ali, M. Z., Farid, A., Ahmad, S., Muzammal, M., Mohaini, M. A., Alsalman, A. J., Al Hawaj, M. A., Alhashem, Y. N., Alsaleh, A. A., Almusalami, E. M., Maryam, M., & Khan, M. A. (2022). In Silico Analysis Identified Putative Pathogenic Missense nsSNPs in Human SLITRK1 Gene. Genes, 13(4), 672. https://doi. org/10.3390/genes13040672

Al Thani, A., Fthenou, E., Paparrodopoulos, S., Al Marri, A., Shi, Z., Qafoud, F., & Afifi, N. (2019). Qatar biobank cohort study: Study design and first results. American Journal of Epidemiology, 188(8), 1420–1433. https://doi. org/10.1093/aje/kwz08

Ali R., Aouida M., Sulaiman A.A., Madhusudan S., Ramotar D.(2022). Can Cisplatin Therapy Be Improved? Pathways That Can Be Targeted. International Journal of Molecular Sciences,23(13)

Ali Z, Elewa H. The Effect of CYP2C19 and Nongenetic Factors on Clopidogrel Responsiveness in the MENA Region: A Systematic Review. Clin Appl Thromb Hemost. 2019 Jan-Dec;25:1076029619875520. doi: 10.1177/1076029619875520. PMID: 31512486; PMCID: PMC6829969.

Alkailani M.I., Aittaleb M., Tissir F.(2022). WNT signaling at the intersection between neurogenesis and brain tumorigenesis.Frontiers in Molecular Neuroscience,15.

Alkailani M.I., Gibbings D.(2023). The Regulation and Immune Signature of Retrotransposons in Cancer. Cancers,15(17)

Al-Khadairi, G., Naik, A., Thomas, R., Al-Sulaiti, B., Rizly, S., & Decock, J. (2019). PRAME promotes epithelial-to-mesenchymal transition in triple negative breast cancer. Journal of Translational Medicine, 17(1), 9. https://doi.org/10.1186/s12967018-1757-3

Alkhateeb, A. M., Aburahma, S. K., Habbab, W., & Thompson, I. R. (2016). Novel mutations in WWOX, RARS2, and C10orf2 genes in consanguineous Arab families with intellectual disability. Metabolic Brain Disease, 31(4), 901–907. https://doi.org/10.1007/ s11011-016-9827-9

Alkhateeb, A. M., Habbab, W., Aburahma, S. K., & Thompson, I. R. (2017). PTBP1: A candidate gene for intellectual disability. Meta Gene, 13, 57–62. https:// doi.org/10.1016/j.mgene.2017.05.002

Al-Khawaga, S., AlRayahi, J., Khan, F., Saraswathi, S., Hasnah, R., Haris, B., Mohammed, I., Abdelalim, E. M., & Hussain, K. (2019). A SLC16A1 Mutation in an Infant With Ketoacidosis and Neuroimaging Assessment: Expanding the Clinical Spectrum of MCT1 Deficiency. Frontiers in Pediatrics, 7. https:// doi.org/10.3389/fped.2019.00299

Al-Khawaga, S., Memon, B., Butler, A. E., Taheri, S., Abou-Samra, A. B., & Abdelalim, E. M. (2018). Pathways governing development of stem cell-derived pancreatic β cells: Lessons from embryogenesis. Biological Reviews, 93(1), 364–389. https://doi.org/10.1111/brv.12349

Al-Khawaga, S., Mohammed, I., Saraswathi, S., Haris, B., Hasnah, R., Saeed, A., Almabrazi, H., Syed, N., Jithesh, P., El Awwa, A., Khalifa, A., AlKhalaf, F., Petrovski, G., Abdelalim, E. M., & Hussain, K. (2019). The clinical and genetic characteristics of permanent neonatal diabetes (PNDM) in the state of Qatar. Molecular Genetics & Genomic Medicine, 7(10), e00753. https://doi.org/10.1002/mgg3.753

Al-Khelaifi F., Diboun I., Donati F., Botrè F., Abraham D., Hingorani A., Albagha O., Georgakopoulos C., Suhre K., Yousri N.A., Elrayess M.A. (2019). Metabolic GWAS of elite athletes reveals novel geneticallyinfluenced metabolites associated with athletic performance. Scientific Reports, 9(1)

Al-Khelaifi F., Diboun I., Donati F., Botrè F., Alsayrafi M., Georgakopoulos C., Suhre K., Yousri N.A., Elrayess M.A. (2018). A pilot study comparing the metabolic profiles of elite-level athletes from different sporting disciplines. Sports MedicineOpen, 4(1)

Al-Khelaifi F., Diboun I., Donati F., Botrè F., Alsayrafi M., Georgakopoulos C., Yousri N.A., Suhre K., Elrayess M.A. (2018). Metabolomics profiling of xenobiotics in elite athletes: Relevance to supplement consumption. Journal of the International Society of Sports Nutrition, 15(1)

Al-Khelaifi F., Donati F., Botrè F., Latiff A., Abraham D., Hingorani A., Georgakopoulos C., Suhre K., Yousri N.A., Elrayess M.A. (2019). Metabolic profiling of elite athletes with different cardiovascular demand. Scandinavian Journal of Medicine and Science in Sports, 29(7)

Al-Khelaifi F., Yousri N.A., Diboun I., Semenova E.A., Kostryukova E.S., Kulemin N.A., Borisov O.V., Andryushchenko L.B., Larin A.K., Generozov E.V., Miyamoto-Mikami E., Murakami H., Zempo H., Miyachi M., Takaragawa M., Kumagai H., Naito H., Fuku N., Abraham D., Hingorani A., Donati F., Botrè F., Georgakopoulos C., Suhre K., Ahmetov I.I., Albagha O., Elrayess M.A. (2020). Genome-Wide Association Study Reveals a Novel Association Between MYBPC3 Gene Polymorphism, Endurance Athlete Status, Aerobic Capacity and Steroid Metabolism. Frontiers in Genetics, 11

Alkowari, M., Espino-Guarch, M., Daas, S., Abdelrahman, D., Hasan, W., Krishnamoorthy, N., Sathappan, A., Sheehan, P., Panhuys, N., The Qatar Genome Program Research Consortium, & Estivill, X. (2022). Functional Characterization of the MYO6 Variant p.E60Q in Non-Syndromic Hearing Loss Patients. International Journal of Molecular Sciences, 23(6), 3369. https://doi.org/10.3390/ ijms23063369

Al-Mansoori L., Al-Jaber H., Madani A.Y., Mazloum N.A., Agouni A., Ramanjaneya M., Abou-Samra A.-B., Elrayess M.A. (2020). Suppression of GATA-3 increases adipogenesis, reduces inflammation and improves insulin sensitivity in 3T3L-1 preadipocytes. Cellular Signalling, 75

Al-Maslamani N.A., Oldershaw R., Tew S., Curran J., D’Hooghe P., Yamamoto K., Horn H.F.(2022). Chondrocyte De-Differentiation: Biophysical Cues to Nuclear Alterations.Cells,11(24)

Almomani R., Marchi M., Sopacua M., Lindsey P., Salvi E., de Koning B., Santoro S., Magri S., Smeets H.J.M., Boneschi F.M., Malik R.R., Ziegler D., Hoeijmakers J.G.J., Bönhof G., Dib-Hajj S., Waxman S.G., Merkies I.S.J., Lauria G., Faber C.G., Gerrits M.M., on behalf on the PROPANE Study Group (2020). Evaluation of molecular inversion probe versus TruSeq® custom methods for targeted nextgeneration sequencing. PLoS ONE, 15(45178)

100 101 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Almomani R., Sopacua M., Marchi M., Ślęczkowska M., Lindsey P., de Greef B.T.A., Hoeijmakers J.G.J., Salvi E., Merkies I.S.J., Ferdousi M., Malik R.A., Ziegler D., Derks K.W.J., Boenhof G., MartinelliBoneschi F., Cazzato D., Lombardi R., Dib-Hajj S., Waxman S.G., Smeets H.J.M., Gerrits M.M., Faber C.G., Lauria G., on behalf of the PROPANE Study Group (2023). Genetic Profiling of Sodium Channels in Diabetic Painful and Painless and Idiopathic Painful and Painless Neuropathies. International Journal of Molecular Sciences, 24(9)

Al-Motawa, M. S., Abbas, H., Wijten, P., de la Fuente, A., Xue, M., Rabbani, N., & Thornalley, P. J. (2020). Vulnerabilities of the SARS-CoV-2 Virus to Proteotoxicity—Opportunity for Repurposed Chemotherapy of COVID-19 Infection. Frontiers in Pharmacology, 11. https://doi.org/10.3389/ fphar.2020.585408

Al-Muftah, M., & Al-Ejeh, F. (2023). Cancer incidence and mortality estimates in Arab countries in 2018: A GLOBOCAN data analysis. Cancer Epidemiology, Biomarkers & Prevention. https://doi. org/10.1158/1055-9965.EPI-23-0520

AlMuraikhi, N., Ali, D., Alshanwani, A., Vishnubalaji, R., Manikandan, M., Atteya, M., Siyal, A., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2018). Stem cell library screen identified ruxolitinib as regulator of osteoblastic differentiation of human skeletal stem cells. Stem Cell Research & Therapy, 9(1), 319. https://doi.org/10.1186/s13287-018-1068-x

AlMuraikhi, N., Ali, D., Vishnubalaji, R., Manikandan, M., Atteya, M., Siyal, A., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2019). Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells. Stem Cells International, 2019, 3041262. https://doi.org/10.1155/2019/3041262

AlMuraikhi, N., Almasoud, N., Binhamdan, S., Younis, G., Ali, D., Manikandan, M., Vishnubalaji, R., Atteya, M., Siyal, A., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2019). Hedgehog Signaling Inhibition by Smoothened Antagonist BMS-833923

Reduces Osteoblast Differentiation and Ectopic Bone Formation of Human Skeletal (Mesenchymal) Stem Cells. Stem Cells International, 2019, 3435901. https://doi.org/10.1155/2019/3435901

AlNaimi, A., Hamad, S. G., Mohamed, R. B. A., Ben Omran, T., Ibrahim, K., Osman, M. F. E., & Abu Hasan, M. (2023). A breakthrough effect of gene

replacement therapy on respiratory outcomes in children with spinal muscular atrophy. Pediatric Pulmonology, 58(4), 1004–1011. https://doi. org/10.1002/ppul.26285

Al-Nesf, M. A. Y., Abdesselem, H. B., Bensmail, I., Ibrahim, S., Saeed, W. A. H., Mohammed, S. S. I., Razok, A., Alhussain, H., Aly, R. M. A., Al Maslamani, M., Ouararhni, K., Khatib, M. Y., Hssain, A. A., Omrani, A. S., Al-Kaabi, S., Al Khal, A., Al-Thani, A. A., Samsam, W., Farooq, A., … Al-Ejeh, F. (2022). Prognostic tools and candidate drugs based on plasma proteomics of patients with severe COVID-19 complications. Nature Communications, 13(1), Article 1. https://doi.org/10.1038/s

41467-022-28639-4

Alonso N., Albagha O.M.E., Azfer A., Larraz-Prieto B., Berg K., Riches P.L., Ostanek B., Kocjan T., Marc J., Langdahl B.L., Ralston S.H.(2023). Genomewide association study identifies genetic variants which predict the response of bone mineral density to teriparatide therapy.Annals of the Rheumatic Diseases,82(7)

Al-Qaissi A., Papageorgiou M., Deshmukh H., Madden L.A., Rigby A., Kilpatrick E.S., Atkin S.L., Sathyapalan T. (2019). Effects of acute insulin-induced hypoglycaemia on endothelial microparticles in adults with and without type 2 diabetes. Diabetes, Obesity and Metabolism, 21(3)

Alrashoudi, R. H., Crane, I. J., Wilson, H. M., AlAlwan, M., & Alajez, N. M. (2018). Gene expression data analysis identifies multiple deregulated pathways in patients with asthma. Bioscience Reports, 38(6), BSR20180548 https://doi. org/10.1042/BSR20180548

Alsaloum M., Estacion M., Almomani R., Gerrits M.M., Bönhof G.J., Ziegler D., Malik R., Ferdousi M., Lauria G., Merkies I.S.J., Faber C.G., Dib-Hajj S., Waxman S.G., on behalf of the Propane Study Group (2019). A gain-of-function sodium channel 2-subunit mutation in painful diabetic neuropathy. Molecular Pain, 15

Alsamman AM, Almabrazi H, Zayed H. WholeGenome Sequencing of 100 Genomes Identifies a Distinctive Genetic Susceptibility Profile of Qatari Patients with Hypertension. J Pers Med. 2022 Apr 29;12(5):722. doi: 10.3390/jpm12050722. PMID: 35629146; PMCID: PMC9144388.

Al-Sarraj, Y., Al-Dous, E., Taha, R. Z., Ahram, D., Alshaban, F., Tolfat, M., El-Shanti, H., & Albagha, O. M. E. (2021). Family-Based Genome-Wide Association Study of Autism Spectrum Disorder in Middle Eastern Families. Genes, 12(5), Article 5. https://doi.org/10.3390/genes12050761

Alshaban, F. A., Aldosari, M., Ghazal, I., AlShammari, H., ElHag, S., Thompson, I. R., Bruder, J., Shaath, H., Al-Faraj, F., Tolefat, M., Nasir, A., & Fombonne, E. (2023). Consanguinity as a Risk Factor for Autism. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-02306137-w

Alshaban F, Aldosari M, Al-Shammari H, El-Hag S, Ghazal I, Tolefat M, Ali M, Kamal M, Abdel Aati N, Abeidah M, Saad AH, Dekair L, Al Khasawneh M, Ramsay K, Fombonne E. Prevalence and correlates of autism spectrum disorder in Qatar: a national study. J Child Psychol Psychiatry. 2019 Dec;60(12):1254-1268. doi: 10.1111/jcpp.13066. Epub 2019 May 8. PMID: 31069792; PMCID: PMC6899566.

Alshaban, F., Aldosari, M., El Sayed, Z., Tolefat, M., El Hag, S., Al Shammari, H., Ghazal, I., & Fombonne, E. (2017). Autism spectrum disorder in Qatar: Profiles and correlates of a large clinical sample. Autism & Developmental Language Impairments, 2, 2396941517699215. https://doi. org/10.1177/2396941517699215

Al-Shammari, A. R., Bhardwaj, S. K., Musaelyan, K., Srivastava, L. K., & Szele, F. G. (2018). Schizophrenia-related dysbindin-1 gene is required for innate immune response and homeostasis in the developing subventricular zone. Npj Schizophrenia, 4(1), Article 1. https://doi.org/10.1038/s41537-0180057-5

Al-Sharshani D., Velayutham D., Samara M., Gazal R., Al Haj Zen A., Ismail M.A., Ahmed M., Nasrallah G., Younes S., Rizk N., Hammuda S., Qoronfleh M.W., Farrell T., Zayed H., Abdulrouf P.V., AlDweik M., Silang J.P.B., Rahhal A., Al-Jurf R., Mahfouz A., Salam A., Al Rifai H., Al-Dewik N.I.(2023).

Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar.Molecular Genetics and Genomic Medicine,11(8)

Al-Sheikhly D., Östlundh L., Arayssi T. (2020). Remediation of learners struggling with communication skills: A systematic review. BMC Medical Education, 20(1)

Al Sulaiman, R., Othman, A., El Akouri, K., Fareed, S., AlMulla, H., Sukik, A., Al Mureikhi, M., Shahbeck, N., Ali, R., Al Mesaifri, F., Musa, S., Al Mulla, M., Ibrahim, K., Mohamed, K., Al Nesef, M. A., Ehlayel, M., & Ben Omran, T. (2020). A founder RAB27A variant causes Griscelli syndrome type 2 with phenotypic heterogeneity in Qatari families. American Journal of Medical Genetics Part A, 182(11), 2570–2580. https://doi.org/10.1002/ ajmg.a.61829

Al-Sulaiti H., Diboun I., Agha M.V., Mohamed F.F.S., Atkin S., Dömling A.S., Elrayess M.A., Mazloum N.A. (2019). Metabolic signature of obesity-associated insulin resistance and type 2 diabetes. Journal of Translational Medicine, 17(1)

Althani A. Qatar biobank and Qatar genome programs road map. J Tissue Sci Eng. 2015; 6: 157 Al-Thani HF, Shurbaji S, Yalcin HC. Zebrafish as a Model for Anticancer Nanomedicine Studies. Pharmaceuticals (Basel). 2021 Jun 28;14(7):625. doi: 10.3390/ph14070625. PMID: 34203407; PMCID: PMC8308643.

Al-Thani N.M., Schaefer-Ramadan S., Aleksic J., Mohamoud Y.A., Malek J.A. (2022). Identifying novel interactions of the colon-cancer related APC protein with Wnt-pathway nuclear transcription factors. Cancer Cell International, 22(1)

Altmaier E., Emeny R.T., Krumsiek J., Lacruz M.E., Lukaschek K., Häfner S., Kastenmüller G., Römisch-Margl W., Prehn C., Mohney R.P., Evans A.M., Milburn M.V., Illig T., Adamski J., Theis F., Suhre K., Ladwig K.-H. (2013). Metabolomic profiles in individuals with negative affectivity and social inhibition: A population-based study of Type D personality. Psychoneuroendocrinology, 38(8)

Altmaier E., Fobo G., Heier M., Thorand B., Meisinger C., Römisch-Margl W., Waldenberger M., Gieger C., Illig T., Adamski J., Suhre K., Kastenmüller G. (2014). Metabolomics approach reveals effects of antihypertensives and lipidlowering drugs on the human metabolism. European Journal of Epidemiology, 29(5)

Altmaier E., Menni C., Heier M., Meisinger C., Thorand B., Quell J., Kobl M., Römisch-Margl W., Valdes A.M., Mangino M., Waldenberger M., Strauch K., Illig T., Adamski J., Spector T., Gieger C., Suhre K., Kastenmüller G. (2016). The pharmacogenetic footprint of ACE inhibition: A population-based metabolomics study. PLoS ONE, 11(4)

102 103
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Al-toub, M., Almohawes, M., Vishnubalaji, R., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2019). CXCR7 signaling promotes breast cancer survival in response to mesenchymal stromal stem cell-derived factors. Cell Death Discovery, 5(1), Article 1. https://doi.org/10.1038/s 41420-019-0169-3

Alvarez Hayes J., Surmann K., Lamberti Y., Depke M., Dhople V., Blancá B., Ruiz E., Vecerek B., Schmidt F., Völker U., Rodriguez M.E. (2020). Hfq modulates global protein pattern and stress response in Bordetella pertussis. Journal of Proteomics, 211

Ambati A., Ju Y.-E., Lin L., Olesen A.N., Koch H., Hedou J.J., Leary E.B., Sempere V.P., Mignot E., Taheri S. (2020). Proteomic biomarkers of sleep apnea. Sleep, 43(11)

Ameen Al-Aghbar, M., Augustine, T., Espino Guarch, M., El Nahas, R., Missous, G., & van Panhuys, N. (2022). Dendritic cell activation and screening for key molecular signatures required for the induction of allergic responses. Qatar Medical Journal, 2022(2). https://doi.org/10.5339/qmj.2022.fqac.15

Ameling S., Kacprowski T., Chilukoti R.K., Malsch C., Liebscher V., Suhre K., Pietzner M., Friedrich N., Homuth G., Hammer E., Völker U. (2015). Associations of circulating plasma microRNAs with age, body mass index and sex in a population-based study. BMC Medical Genomics, 8(1)

Anderson D.J., Kaplan D.I., Bell K.M., Koutsis K., Haynes J.M., Mills R.J., Phelan D.G., Qian E.L., Leitoguinho A.R., Arasaratnam D., Labonne T., Ng E.S., Davis R.P., Casini S., Passier R., Hudson J.E., Porrello E.R., Costa M.W., Rafii A., Curl C.L., Delbridge L.M., Harvey R.P., Oshlack A., Cheung M.M., Mummery C.L., Petrou S., Elefanty A.G., Stanley E.G., Elliott D.A. (2018). NKX2-5 regulates human cardiomyogenesis via a HEY2 dependent transcriptional network. Nature Communications,9(1)

Andörfer L., Holtfreter B., Weiss S., Matthes R., Pitchika V., Schmidt C.O., Samietz S., Kastenmüller G., Nauck M., Völker U., Völzke H., Csonka L.N., Suhre K., Pietzner M., Kocher T. (2021). Salivary metabolites associated with a 5-year tooth loss identified in a population-based setting. BMC Medicine, 19(1)

Aouida M., Saifaldeen M., Al-Ansari D.E., Taleb S., Hssain A.A., Ramotar D.(2023). A CRISPR-based approach using dead Cas9-sgRNA to detect SARSCoV-2.Frontiers in Molecular Biosciences,10.

Apollo, A., Ortenzi, V., Scatena, C., Zavaglia, K., Aretini, P., Lessi, F., Franceschi, S., Tomei, S., Sepich, C. A., Viacava, P., Mazzanti, C. M., & Naccarato, A. G. (2019). Molecular characterization of low grade and high grade bladder cancer. PLOS ONE, 14(1), e0210635. https://doi.org/10.1371/journal. pone.0210635

Aqel, Y. W. A., Ali, G., Elsayed, A. K., Al-Khawaga, S., Hussain, K., & Abdelalim, E. M. (2020). Generation of two human iPSC lines from patients with maturityonset diabetes of the young type 2 (MODY2) and permanent neonatal diabetes due to mutations in the GCK gene. Stem Cell Research, 48, 101991. https:// doi.org/10.1016/j.scr.2020.101991

Ardah, M. T., Ghanem, S. S., Abdulla, S. A., Lv, G., Emara, M. M., Paleologou, K. E., Vaikath, N. N., Lu, J.-H., Li, M., Vekrellis, K., Eliezer, D., & El-Agnaf, O. M. A. (2020). Inhibition of alpha-synuclein seeded fibril formation and toxicity by herbal medicinal extracts. BMC Complementary Medicine and Therapies, 20(1), 73 https://doi.org/10.1186/s12906020-2849-1

Arnold M., Raffler J., Pfeufer A., Suhre K., Kastenmüller G. (2015). SNiPA: An interactive, genetic variant-centered annotation browser. Bioinformatics, 31(8)

Arredouani, A., Diane, A., Khattab, N., Bensmail, I., Aoude, I., Chikri, M., Mohammad, R., Abou-Samra, A. B., & Dehbi, M. (2019). DNAJB3 attenuates metabolic stress and promotes glucose uptake by eliciting Glut4 translocation. Scientific Reports, 9(1), Article 1. https://doi.org/10.1038/s41598-019-41244-8

Arredouani, A., Ruas, M., Collins, S. C., Parkesh, R., Clough, F., Pillinger, T., Coltart, G., Rietdorf, K., Royle, A., Johnson, P., Braun, M., Zhang, Q., Sones, W., Shimomura, K., Morgan, A. J., Lewis, A. M., Chuang, K.-T., Tunn, R., Gadea, J., … Galione, A. (2015). Nicotinic Acid Adenine Dinucleotide Phosphate (NAADP) and Endolysosomal Two-pore Channels Modulate Membrane Excitability and Stimulus-Secretion Coupling in Mouse Pancreatic β Cells. The Journal of Biological Chemistry, 290(35), 21376–21392. https://doi.org/10.1074/jbc. M115.671248

Arredouani, A., Stocchero, M., Culeddu, N., Moustafa, J. E.-S., D.E.S.I.R. Study Group, Tichet, J., Balkau, B., Brousseau, T., Manca, M., & Falchi, M. (2016). Metabolomic Profile of Low-Copy Number Carriers at the Salivary α-Amylase Gene Suggests a Metabolic Shift Toward Lipid-Based Energy Production. Diabetes, 65(11), 3362–3368. https://doi.org/10.2337/

db16-0315

Arshad N., Laurent-Rolle M., Ahmed W.S., Hsu J.C.-C., Mitchell S.M., Pawlak J., Sengupta D., Biswas K.H., Cresswell P.(2023). SARS-CoV-2 accessory proteins ORF7a and ORF3a use distinct mechanisms to down-regulate MHC-I surface expression.Proceedings of the National Academy of Sciences of the United States of America,120(1)

Arunachalam G., Upadhyay R., Ding H., Triggle C.R. (2015). MicroRNA signature and cardiovascular dysfunction. Journal of Cardiovascular Pharmacology, 65(5)

Asgarian, Z., Oliveira, M. G., Stryjewska, A., Maragkos, I., Rubin, A. N., Magno, L., Pachnis, V., Ghorbani, M., Hiebert, S. W., Denaxa, M., & Kessaris, N. (2022). MTG8 interacts with LHX6 to specify cortical interneuron subtype identity. Nature Communications, 13(1), 5217. https://doi. org/10.1038/s41467-022-32898-6

Atkin, A. S., Moin, A. S. M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021). Plasma heat shock protein response to euglycemia in type 2 diabetes. BMJ Open Diabetes Research and Care, 9(1), e002057. https://doi.org/10.1136/ bmjdrc-2020-002057

Atkin, A. S., Moin, A. S. M., Nandakumar, M., AlQaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021). Impact of severe hypoglycemia on the heat shock and related protein response. Scientific Reports, 11(1), 17057. https://doi.org/10.1038/ s41598-021-96642-8

Atkin, S. L., Butler, A. E., Hunt, S. C., & Kilpatrick, E. S. (2021). The retinopathy-derived HbA1c threshold of 6.5% for type 2 diabetes also captures the risk of diabetic nephropathy in NHANES. Diabetes, Obesity & Metabolism, 23(9), 2109–2115. https://doi. org/10.1111/dom.14449

Atkin S.L., Katsiki N., Banach M., Mikhailidis D.P., Pirro M., Sahebkar A. (2017). Effect of dipeptidyl peptidase-4 inhibitors on circulating tumor necrosis factor-α concentrations: A systematic review and meta-analysis of controlled trials. Journal of Diabetes and its Complications, 31(9)

Atkin S.L., Ramachandran V., Yousri N.A., Benurwar M., Simper S.C., McKinlay R., Adams T.D., NajafiShoushtari S.H., Hunt S.C. (2019). Changes in blood microRNA expression and early metabolic responsiveness 21 days following bariatric surgery. Frontiers in Endocrinology, 10(JAN)

Augustine, T., Al-Aghbar, M. A., Al-Kowari, M., Espino-Guarch, M., & van Panhuys, N. (2022). Asthma and the Missing Heritability Problem: Necessity for Multiomics Approaches in Determining Accurate Risk Profiles. Frontiers in Immunology, 13, 822324. https://doi.org/10.3389/fimmu.2022.822324

Awad, S.F., Dargham, S.R., Toumi, A.A, et al. A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes. Sci Rep 11, 1811 (2021). https://doi.org/10.1038/s41598-021-81385-3.

Awad S.F., Huangfu P., Dargham S.R., Ajlouni K., Batieha A., Khader Y.S., Critchley J.A., Abu-Raddad L.J. (2020). Characterizing the type 2 diabetes mellitus epidemic in Jordan up to 2050. Scientific Reports, 10(1)

Awad, S. F., Toumi, A. A., Al-Mutawaa, K. A., Alyafei, S. A, et al. Associations of vaccination and of prior infection with positive PCR test results for SARSCoV-2 in airline passengers arriving in Qatar. JAMA, 326(2), 185-188. https://doi. org/10.1001/ jama.2021.9970

Ayakannu, T., Taylor, A. H., & Konje, J. C. (2020). Selection of Endogenous Control Reference Genes for Studies on Type 1 or Type 2 Endometrial Cancer. Scientific Reports, 10(1), 8468. https://doi. org/10.1038/s41598-020-64663-4

Ayakannu, T., Taylor, A. H., Marczylo, T. H., Maccarrone, M., & Konje, J. C. (2019). Identification of Novel Predictive Biomarkers for Endometrial Malignancies: N-Acylethanolamines. Frontiers in Oncology, 9, 430. https://doi.org/10.3389/ fonc.2019.00430

Aylwin P., Havenith G., Cardinale M., Lloyd A., Ihsan M., Taylor L., Adami P.E., Alhammoud M., Alonso J.-M., Bouscaren N., Buitrago S., Esh C., GomezEzeiza J., Garrandes F., Labidi M., Lange G., Moussay S., Mtibaa K., Townsend N., Wilson M., Bermon S., Racinais S.(2023). Thermoregulatory responses during road races in hot-humid conditions at the 2019 Athletics World Championships.Journal of applied physiology (Bethesda, Md. : 1985),134(5)

Bahrami A., Atkin S.L., Majeed M., Sahebkar A. (2018). Effects of curcumin on hypoxia-inducible factor as a new therapeutic target. Pharmacological Research, 137

104 105 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Bahrami A., Parsamanesh N., Atkin S.L., Banach M., Sahebkar A. (2018). Effect of statins on tolllike receptors: a new insight to pleiotropic effects. Pharmacological Research, 135

Baloni P., Arnold M., Buitrago L., Nho K., Moreno H., Huynh K., Brauner B., Louie G., Kueider-Paisley A., Suhre K., Saykin A.J., Ekroos K., Meikle P.J., Hood L., Price N.D., Doraiswamy P.M., Funk C.C., Hernández A.I., Kastenmüller G., Baillie R., Han X., Kaddurah-Daouk R., Alzheimer›s Disease Metabolomics Consortium (2022). Multi-Omic analyses characterize the ceramide/sphingomyelin pathway as a therapeutic target in Alzheimer›s disease. Communications biology, 5(1)

Banerjee, I., Senniappan, S., Laver, T. W., Caswell, R., Zenker, M., Mohnike, K., Cheetham, T., Wakeling, M. N., Ismail, D., Lennerz, B., Splitt, M., Berberoğlu, M., Empting, S., Wabitsch, M., Pötzsch, S., Shah, P., Siklar, Z., Verge, C. F., Weedon, M. N., … Flanagan, S. E. (2019). Refinement of the critical genomic region for hypoglycaemia in the Chromosome 9p deletion syndrome. Wellcome Open Research, 4, 149. https:// doi.org/10.12688/wellcomeopenres.15465.1

Banu A., Gowda S.B.M., Salim S., Mohammad F.(2023). Serotonergic control of feeding microstructure in Drosophila.Frontiers in Behavioral Neuroscience,16.

Barnawi, R., Al-Khaldi, S., Majid, S., Qattan, A., Bakheet, T., Fallatah, M., Ghebeh, H., Alajez, N. M., & Al-Alwan, M. (2021). Comprehensive Transcriptome and Pathway Analyses Revealed Central Role for Fascin in Promoting Triple-Negative Breast Cancer Progression. Pharmaceuticals, 14(12), Article 12. https://doi.org/10.3390/ph14121228

Bartel J., Krumsiek J., Schramm K., Adamski J., Gieger C., Herder C., Carstensen M., Peters A., Rathmann W., Roden M., Strauch K., Suhre K., Kastenmüller G., Prokisch H., Theis F.J. (2015). The Human Blood Metabolome-Transcriptome Interface. PLoS Genetics, 11(6)

Basaly, V., Hill, J., Bihaqi, S. W., Marques, E., Slitt, A. L., & Zawia, N. H. (2021). Developmental Perfluorooctanesulfonic acid (PFOS) exposure as a potential risk factor for late-onset Alzheimer’s disease in CD-1 mice and SH-SY5Y cells. Neurotoxicology, 86, 26–36. https://doi.org/10.1016/j. neuro.2021.06.008

Basit S.A., Qureshi R., Musleh S., Guler R., Rahman M.S., Biswas K.H., Alam T.(2023). COVID-19Base v3: Update of the knowledgebase for drugs and biomedical entities linked to COVID-19.Frontiers in Public Health,11.

Bastaki K, El Anbari M, Ghuloum S, Jithesh PV. Prescription Pattern and Off-Label Use of Antipsychotics in a Middle Eastern Population. Frontiers in Pharmacology. 2021 ;12:753845. DOI: 10.3389/fphar.2021.753845. PMID: 34790126; PMCID: PMC8591163.

Bastaki K., Umlai U.-K.I., Jithesh P.V.(2023). Personalized medicine.Metabolomics: A Path Towards Personalized Medicine.

Bastard, P., Manry, J., Chen, J., Rosain, J., Seeleuthner, Y., AbuZaitun, O., Lorenzo, L., Khan, T., Hasek, M., Hernandez, N., Bigio, B., Zhang, P., Lévy, R., Shrot, S., Reino, E. J. G., Lee, Y.-S., Boucherit, S., Aubart, M., Gijsbers, R., … Zhang, S.-Y. (2021). Herpes simplex encephalitis in a patient with a distinctive form of inherited IFNAR1 deficiency. Journal of Clinical Investigation, 131(1), e139980. https://doi.org/10.1172/JCI139980

Batra R., Uni R., Akchurin O.M., Alvarez-Mulett S., Gómez-Escobar L.G., Patino E., Hoffman K.L., Simmons W., Whalen W., Chetnik K., Buyukozkan M., Benedetti E., Suhre K., Schenck E., Cho S.J., Choi A.M.K., Schmidt F., Choi M.E., Krumsiek J. (2023). Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS. Molecular Medicine, 29(1)

Batra R., Whalen W., Alvarez-Mulett S., GomezEscobar L.G., Hoffman K.L., Simmons W., Harrington J., Chetnik K., Buyukozkan M., Benedetti E., Choi M.E., Suhre K., Schenck E., Choi A.M.K., Schmidt F., Cho S.J., Krumsiek J. (2022). Multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS. PLoS Pathogens, 18(9)

Baturcam, E., Abubaker, J., Tiss, A., Abu-Farha, M., Khadir, A., Al-Ghimlas, F., Al-Khairi, I., Cherian, P., Elkum, N., Hammad, M., John, J., Kavalakatt, S., Lehe, C., Warsame, S., Behbehani, K., Dermime, S., & Dehbi, M. (2014). Physical Exercise Reduces the Expression of RANTES and Its CCR5 Receptor in the Adipose Tissue of Obese Humans. Mediators of Inflammation, 2014, e627150. https://doi. org/10.1155/2014/627150

Bedri S., Sultan A.A., Alkhalaf M., Al Moustafa A.-E., Vranic S. (2019). Epstein-Barr virus (EBV) status in colorectal cancer: a mini review. Human Vaccines and Immunotherapeutics, 15(3)

Beger R.D., Dunn W., Schmidt M.A., Gross S.S., Kirwan J.A., Cascante M., Brennan L., Wishart D.S., Oresic M., Hankemeier T., Broadhurst D.I., Lane A.N., Suhre K., Kastenmüller G., Sumner S.J., Thiele I., Fiehn O., Kaddurah-Daouk R., for “Precision Medicine and Pharmacometabolomics Task Group”Metabolomics Society Initiative (2016). Metabolomics enables precision medicine: “A White Paper, Community Perspective”. Metabolomics, 12(10)

Bejaoui Y., Alresheq S., Durand S., Vilaire-Meunier M., Maillebouis L., Zen A.A.H., Mégarbané A., Hajj N.E.(2023). DNA methylation profiling in Trisomy 21 females with and without breast cancer.Frontiers in Oncology,13.

Bejaoui Y., Oshima J., El Hajj N.(2023). Insights into aging from progeroid syndrome epigenetics. Aging,15(15)

Bejaoui Y., Razzaq A., Yousri N.A., Oshima J., Megarbane A., Qannan A., Potabattula R., Alam T., Martin G., Horn H.F., Haaf T., Horvath S., El Hajj N. (2022). DNA methylation signatures in Blood DNA of Hutchinson–Gilford Progeria syndrome. Aging Cell, 21(2)

Belkadi A., Thareja G., Abbaszadeh F., Badii R., Fauman E., Albagha O.M.E., Suhre K., The Qatar Genome Program Research Consortium (2023). Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population. Cell Genomics, 3(1)

Belkadi A., Thareja G., Dadhania D., Lee J.R., Muthukumar T., Snopkowski C., Li C., Halama A., Abdelkader S., Abdulla S., Mahmoud Y., Malek J., Suthanthiran M., Suhre K. (2021). Deep sequencing of DNA from urine of kidney allograft recipients to estimate donor/ recipient-specific DNA fractions. PLoS ONE, 16(45020)

Belkadi A., Thareja G., Halama A., Mahmoud Y., Jones D., Agnew S., Malek J., Suhre K. (2020). Identification of genetic variants controlling RNA editing and their effect on RNA structure stabilization. European Journal of Human Genetics, 28(12)

Benedetti E., Pučić-Baković M., Keser T., Gerstner N., Büyüközkan M., Štambuk T., Selman M.H.J., Rudan I., Polašek O., Hayward C., Al-Amin H., Suhre K., Kastenmüller G., Lauc G., Krumsiek J. (2020). A strategy to incorporate prior knowledge into correlation network cutoff selection. Nature Communications, 11(1)

Bengoechea-Alonso M.T., Aldaalis A., Ericsson J.(2022). Loss of the Fbw7 tumor suppressor rewires cholesterol metabolism in cancer cells leading to activation of the PI3K-AKT signalling axis.Frontiers in Oncology,12.

Ben Halima Y., Kefi R., Sazzini M., Giuliani C., De Fanti S., Nouali C., Nagara M., Mengozzi G., Elouej S., Abid A., Jamoussi H., Chouchane L., Romeo G., Abdelhak S., Luiselli D. (2017). Lactase persistence in Tunisia as a result of admixture with other Mediterranean populations. Genes and Nutrition, 12(1)

Ben-Mahmoud, A., Jun, K. R., Gupta, V., Shastri, P., de la Fuente, A., Park, Y., Shin, K. C., Kim, C. A., da Cruz, A. D., Pinto, I. P., Minasi, L. B., Silva da Cruz, A., Faivre, L., Callier, P., Racine, C., Layman, L. C., Kong, I.-K., Kim, C.-H., Kim, W.-Y., & Kim, H.-G. (2022). A rigorous in silico genomic interrogation at 1p13.3 reveals 16 autosomal dominant candidate genes in syndromic neurodevelopmental disorders. Frontiers in Molecular Neuroscience, 15. https://doi. org/10.3389/fnmol.2022.979061

Ben-Mahmoud, A., Kishikawa, S., Gupta, V., Leach, N. T., Shen, Y., Moldovan, O., Goel, H., Hopper, B., Ranguin, K., Gruchy, N., Maas, S. M., Lacassie, Y., Kim, S.-H., Kim, W.-Y., Quade, B. J., Morton, C. C., Kim, C.-H., Layman, L. C., & Kim, H.-G. (2023). A cryptic microdeletion del(12)(p11.21p11.23) within an unbalanced translocation t(7;12)(q21.13;q23.1) implicates new candidate loci for intellectual disability and Kallmann syndrome. Scientific Reports, 13(1), Article 1. https://doi.org/10.1038/ s41598-023-40037-4

Ben Omran, T., Al Ghanim, K., Yavarna, T., El Akoum, M., Samara, M., Chandra, P., & Al Dewik, N. (2020). Effects of consanguinity in a cohort of subjects with certain genetic disorders in Qatar. Molecular Genetics & Genomic Medicine, 8(1). https://doi. org/10.1002/mgg3.1051

106 107
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Benslimane F.M., Al Khatib H.A., Al-Jamal O., Albatesh D., Boughattas S., Ahmed A.A., Bensaad M., Younuskunju S., Mohamoud Y.A., Al Badr M., Mohamed A.A., El-Kahlout R.A., Al-Hamad T., Elgakhlab D., Al-Kuwari F.H., Saad C., Jeremijenko A., Al-Khal A., Al-Maslamani M.A., Bertollini R., Al-Kuwari E.A., Al-Romaihi H.E., Al-Marri S., AlThani M., Badji R.M., Mbarek H., Al-Sarraj Y., Malek J.A., Ismail S.I., Abu-Raddad L.J., Coyle P.V., Thani A.A.A., Yassine H.M. (2021). One Year of SARSCoV-2: Genomic Characterization of COVID-19 Outbreak in Qatar. Frontiers in Cellular and Infection Microbiology, 11

Benslimane FM, Al Khatib HA, Al-Jamal O, et al. Characterization of COVID-19 Outbreak in Qatar. Front Cell Infect Microbiol. 2021 Nov 17;11:768883. doi: 10.3389/fcimb.2021.768883. PMID: 34869069; PMCID: PMC8637114.

Bettaieb A., Paul C., Plenchette S., Shan J., Chouchane L., Ghiringhelli F. (2017). Precision medicine in breast cancer: Reality or utopia?. Journal of Translational Medicine, 15(1)

Bhat, A. A., Nisar, S., Mukherjee, S., Saha, N., Yarravarapu, N., Lone, S. N., Masoodi, T., Chauhan, R., Maacha, S., Bagga, P., Dhawan, P., Akil, A. A.-S., El-Rifai, W., Uddin, S., Reddy, R., Singh, M., Macha, M. A., & Haris, M. (2022). Asthma and the Missing Heritability Problem: Necessity for Multiomics Approaches in Determining Accurate Risk Profiles. Frontiers in Immunology, 13, 822324. Journal of Translational Medicine, 20(1), 534. https://doi. org/10.1186/s12967-022-03765-1

Bhat, A. A., Nisar, S., Singh, M., Ashraf, B., Masoodi, T., Prasad, C. P., Sharma, A., Maacha, S., Karedath, T., Hashem, S., Yasin, S. B., Bagga, P., Reddy, R., Frennaux, M. P., Uddin, S., Dhawan, P., Haris, M., & Macha, M. A. (2022). Cytokine and chemokine induced inflammatory colorectal tumor microenvironment: Emerging avenue for targeted therapy. Cancer Communications, 42(8), 689–715. https://doi. org/10.1002/cac2.12295

Bhat, A. A., Uppada, S., Achkar, I. W., Hashem, S., Yadav, S. K., Shanmugakonar, M., Al-Naemi, H. A., Haris, M., & Uddin, S. (2019). Tight Junction Proteins and Signaling Pathways in Cancer and Inflammation: A Functional Crosstalk. Frontiers in Physiology, 9, 1942. https://doi.org/10.3389/fphys.2018.01942

Bhat, A. A., Younes, S. N., Raza, S. S., Zarif, L., Nisar, S., Ahmed, I., Mir, R., Kumar, S., Sharawat, S. K., Hashem, S., Elfaki, I., Kulinski, M., Kuttikrishnan, S., Prabhu, K. S., Khan, A. Q., Yadav, S. K., El-Rifai, W., Zargar, M. A., Zayed, H., … Uddin, S. (2020). Role of non-coding RNA networks in leukemia progression, metastasis and drug resistance. Molecular Cancer, 19(1), 57. https://doi.org/10.1186/s

12943-020-01175-9

Billing A.M., Ben Hamidane H., Bhagwat A.M., Cotton R.J., Dib S.S., Kumar P., Hayat S., Goswami N., Suhre K., Rafii A., Graumann J. (2017). Complementarity of SOMAscan to LC-MS/MS and RNA-seq for quantitative profiling of human embryonic and mesenchymal stem cells. Journal of Proteomics, 150

Billing A.M., Ben Hamidane H., Dib S.S., Cotton R.J., Bhagwat A.M., Kumar P., Hayat S., Yousri N.A., Goswami N., Suhre K., Rafii A., Graumann J. (2016). Comprehensive transcriptomic and proteomic characterization of human mesenchymal stem cells reveals source specific cellular markers. Scientific Reports, 6

Billing A.M., Dib S.S., Bhagwat A.M., da Silva I.T., Drummond R.D., Hayat S., Al-Mismar R., BenHamidane H., Goswami N., Engholm-Keller K., Larsen M.R., Suhre K., Rafii A., Graumann J. (2019). A systems-level characterization of the differentiation of human embryonic stem cells into mesenchymal stem cells. Molecular and Cellular Proteomics, 18(10)

Bonnefond, A., Philippe, J., Durand, E., Muller, J., Saeed, S., Arslan, M., Martínez, R., De Graeve, F., Dhennin, V., Rabearivelo, I., Polak, M., Cavé, H., Castaño, L., Vaxillaire, M., Mandel, J.-L., Sand, O., & Froguel, P. (2014). Highly sensitive diagnosis of 43 monogenic forms of diabetes or obesity through one-step PCR-based enrichment in combination with next-generation sequencing. Diabetes Care, 37(2), 460–467. https://doi.org/10.2337/dc13-0698

Bonnefond, A., Skrobek, B., Lobbens, S., Eury, E., Thuillier, D., Cauchi, S., Lantieri, O., Balkau, B., Riboli, E., Marre, M., Charpentier, G., Yengo, L., & Froguel, P. (2013). Association between large detectable clonal mosaicism and type 2 diabetes with vascular complications. Nature Genetics, 45(9), Article 9. https://doi.org/10.1038/ng.2700

Bosio, M., Drechsel, O., Rahman, R., Muyas, F., Rabionet, R., Bezdan, D., Domenech Salgado, L., Hor, H., Schott, J., Munell, F., Colobran, R., Macaya,

A., Estivill, X., & Ossowski, S. (2019). EDiVA— Classification and prioritization of pathogenic variants for clinical diagnostics. Human Mutation, 40(7), 865–878. https://doi.org/10.1002/humu.23772

Boujemaa M., Mighri N., Chouchane L., Boubaker M.S., Abdelhak S., Boussen H., Hamdi Y. (2022). Health influenced by genetics: A first comprehensive analysis of breast cancer high and moderate penetrance susceptibility genes in the Tunisian population. PLoS ONE, 17(44988)

Boyden, L. M., Atzmony, L., Hamilton, C., Zhou, J., Lim, Y. H., Hu, R., Pappas, J., Rabin, R., Ekstien, J., Hirsch, Y., Prendiville, J., Lifton, R. P., Ferguson, S., & Choate, K. A. (2019). Recessive Mutations in AP1B1 Cause Ichthyosis, Deafness, and Photophobia. The American Journal of Human Genetics, 105(5), 1023–1029. https://doi.org/10.1016/j.ajhg.2019.09.021

Bradic M., Taleb S., Thomas B., Chidiac O., Robay A., Hassan N., Malek J., Ait Hssain A., Abi Khalil C. (2022). DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome. Journal of Translational Medicine, 20(1)

Brockmueller A., Sameri S., Liskova A., Zhai K., Varghese E., Samuel S.M., Büsselberg D., Kubatka P., Shakibaei M. (2021). Resveratrol’s anti-cancer effects through the modulation of tumor glucose metabolism. Cancers, 13(2)

Brockmueller A., Samuel S.M., Mazurakova A., Büsselberg D., Kubatka P., Shakibaei M. (2023). Curcumin, calebin A and chemosensitization: How are they linked to colorectal cancer?. Life Sciences, 318

Brown, A., Zamanpoor, M., Love, D. R., & Prosser, D. O. (2019). Determination of Pathogenicity of Breast Cancer 1 Gene Variants using the American College of Medical Genetics and Genomics and the Association for Molecular Pathology Guidelines. Sultan Qaboos University Medical Journal [SQUMJ], 19(4), 324. https://doi.org/10.18295/ squmj.2019.19.04.008

Budakoti M., Panwar A.S., Molpa D., Singh R.K., Büsselberg D., Mishra A.P., Coutinho H.D.M., Nigam M. (2021). Micro-RNA: The darkhorse of cancer. Cellular Signalling, 83

Büsselberg D., Florea A.-M. (2017). Targeting intracellular calcium signaling ([Ca2+]i) to overcome acquired multidrug resistance of cancer cells: A mini-overview. Cancers, 9(5)

Butler, A. E., Abouseif, A., Dargham, S. R., Sathyapalan, T., & Atkin, S. L. (2020). Metabolic comparison of polycystic ovarian syndrome and control women in Middle Eastern and UK Caucasian populations. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s41598-020-75109-2

Butler, A. E., Dargham, S. R., Abouseif, A., El Shewehy, A., & Atkin, S. L. (2021). Vitamin D deficiency effects on cardiovascular parameters in women with polycystic ovary syndrome: A retrospective, cross-sectional study. The Journal of Steroid Biochemistry and Molecular Biology, 211, 105892. https://doi.org/10.1016/j.jsbmb.2021. 105892

Butler, A. E., Dargham, S. R., Latif, A., Mokhtar, H. R., Robay, A., Chidiac, O. M., Jayyousi, A., Al Suwaidi, J., Crystal, R. G., Abi Khalil, C., & Atkin, S. L. (2020). Association of vitamin D3 and its metabolites in patients with and without type 2 diabetes and their relationship to diabetes complications. Therapeutic Advances in Chronic Disease, 11, 2040622320924159. https://doi.org/10.1177/2040622320924159

Butler, A. E., English, E., Kilpatrick, E. S., Östlundh, L., Chemaitelly, H. S., Abu-Raddad, L. J., Alberti, K. G. M. M., Atkin, S. L., & John, W. G. (2021). Diagnosing type 2 diabetes using Hemoglobin A1c: A systematic review and meta-analysis of the diagnostic cutpoint based on microvascular complications. Acta Diabetologica, 58(3), 279–300. https://doi.org/10.1007/s00592-020-01606-5

Butler A.E., Hayat S., Dargham S.R., Malek J.A., Abdullah S.A., Mahmoud Y.A., Sathyapalan T., Atkin S.L. (2020). Long non-coding RNA expression in nonobese women with polycystic ovary syndrome and weight-matched controls. Reproductive BioMedicine Online, 41(4)

Butler, A. E., & Misselbrook, D. (2020). Distinguishing between type 1 and type 2 diabetes. BMJ, 370, m2998. https://doi.org/10.1136/bmj.m2998

Butler, A. E., Hayat, S., Dargham, S. R., Malek, J. A., Abdulla, S. A., Mohamoud, Y. A., Suhre, K., Sathyapalan, T., & Atkin, S. L. (2019). Alterations in long noncoding RNAs in women with and without polycystic ovarian syndrome. Clinical Endocrinology, 91(6), 793–797. https://doi.org/10.1111/cen.14087

108 109 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Butler A.E., Ramachandran V., Cunningham T.K., David R., Gooderham N.J., Benurwar M., Dargham S.R., Hayat S., Sathyapalan T., Najafi-Shoushtari S.H., Atkin S.L. (2020). Increased MicroRNA Levels in Women With Polycystic Ovarian Syndrome but Without Insulin Resistance: A Pilot Prospective Study. Frontiers in Endocrinology, 11

Butler A.E., Ramachandran V., Hayat S., Dargham S.R., Cunningham T.K., Benurwar M., Sathyapalan T., Najafi-Shoushtari S.H., Atkin S.L. (2019). Expression of microRNA in follicular fluid in women with and without PCOS. Scientific Reports, 9(1)

Butler A.E., Ramachandran V., Sathypalan T., David R., Gooderham N.J., Benurwar M., Dargham S.R., Hayat S., Hani Najafi-Shoushtari S., Atkin S.L. (2020). microRNA Expression in Women With and Without Polycystic Ovarian Syndrome Matched for Body Mass Index. Frontiers in Endocrinology, 11

Buyukozkan M., Suhre K., Krumsiek J. (2022). SGI: automatic clinical subgroup identification in omics datasets. Bioinformatics, 38(2)

Campbell, T. M., Liu, Z., Zhang, Q., MoncadaVelez, M., Covill, L. E., Zhang, P., Alavi Darazam, I., Bastard, P., Bizien, L., Bucciol, G., Lind Enoksson, S., Jouanguy, E., Karabela, Ş. N., Khan, T., KendirDemirkol, Y., Arias, A. A., Mansouri, D., Marits, P., Marr, N., … Bryceson, Y. T. (2022). Respiratory viral infections in otherwise healthy humans with inherited IRF7 deficiency. Journal of Experimental Medicine, 219(7), e20220202. https://doi.org/10.1084/ jem.20220202

Castro, M. A. A., dos Santos, J. H. V., Honjo, R. S., Yamamoto, G. L., Bertola, D. R., Hurst, A. C., Chorich, L. P., Layman, L. C., Kim, C. A., & Kim, H.-G. (2021). Twenty-year follow-up of the facial phenotype of Brazilian patients with Sotos syndrome. American Journal of Medical Genetics Part A, 185(12), 3916–3923. https://doi.org/10.1002/ajmg.a.62454

Catak, M. C., Akcam, B., Bilgic Eltan, S., Babayeva, R., Karakus, I. S., Akgun, G., ... & Baris, S. (2022). Comparing the levels of CTLA-4-dependent biological defects in patients with LRBA deficiency and CTLA-4 insufficiency. Allergy, 77(10), 3108-3123.

Cavanagh J.P., Pain M., Askarian F., Bruun J.-A., Urbarova I., Wai S.N., Schmidt F., Johannessen M. (2019). Comparative exoproteome profiling of an invasive and a commensal Staphylococcus haemolyticus isolate. Journal of Proteomics, 197()

Chaabna K., Cheema S., Abraham A., Alrouh H.,

Lowenfels A.B., Maisonneuve P., Mamtani R. (2018). Systematic overview of hepatitis C infection in the Middle East and North Africa. World Journal of Gastroenterology, 24(27)

Chaari A., Hoarau-Véchot J., Ladjimi M. (2013). Applying chaperones to protein-misfolding disorders: molecular chaperones against α-synuclein in Parkinson›s disease. International Journal of Biological Macromolecules, 60

Chaari A., Ladjimi M. (2019). Human islet amyloid polypeptide (hIAPP) aggregation in type 2 diabetes: Correlation between intrinsic physicochemical properties of hIAPP aggregates and their cytotoxicity. International Journal of Biological Macromolecules, 136

Chandran, S., Rajadurai, V. S., Hoi, W. H., Flanagan, S. E., Hussain, K., & Yap, F. (2020). A Novel HNF4A Mutation Causing Three Phenotypic Forms of Glucose Dysregulation in a Family. Frontiers in Pediatrics, 8, 320. https://doi.org/10.3389/ fped.2020.00320

Chehade G., Lawson T.M., Lelotte J., Daoud L., Di Perri D., Whenham N., Duprez T., Tajeddine N., Tissir F., Raftopoulos C.(2023). Long-term survival in patients with IDH-wildtype glioblastoma: clinical and molecular characteristics.Acta Neurochirurgica,165(4)

Chemaitelly, H., Bertollini, R., & AbuRaddad, L. J. (2021). Efficacy of natural immunity against SARSCoV-2 reinfection with the Beta variant. New England Journal of Medicine, 385(27), 2585- 2586. https://doi. org/10.1056/ nejmc2110300Chouchane.

Chemaitelly H., Yassine H.M., Benslimane F.M., Al Khatib H.A., Tang P., Hasan M.R., Malek J.A., Coyle P., Ayoub H.H., Al Kanaani Z., Al Kuwari E., Jeremijenko A., Kaleeckal A.H., Latif A.N., Shaik R.M., Abdul Rahim H.F., Nasrallah G.K., Al Kuwari M.G., Al Romaihi H.E., Al-Thani M.H., Al Khal A., Butt A.A., Bertollini R., Abu-Raddad L.J. (2021). mRNA1273 COVID-19 vaccine effectiveness against the B.1.1.7 and B.1.351 variants and severe COVID-19 disease in Qatar. Nature Medicine, 27(9)

Choi S., Bhagwat A.M., Al Mismar R., Goswami N., Ben Hamidane H., Sun L., Graumann J. (2018). Proteomic profiling of human cancer pseudopodia for the identification of anti-metastatic drug candidates. Scientific Reports, 8(1)

Chong, J. X., Talbot, J. C., Teets, E. M., Previs, S., Martin, B. L., Shively, K. M., Marvin, C. T., Aylsworth, A. S., Saadeh-Haddad, R., Schatz, U. A., Inzana, F., Ben-Omran, T., Almusafri, F., Al-Mulla, M., Buckingham, K. J., Harel, T., Mor-Shaked, H., Radhakrishnan, P., Girisha, K. M., … Bamshad, M. J. (2020). Mutations in MYLPF Cause a Novel Segmental Amyoplasia that Manifests as Distal Arthrogryposis. The American Journal of Human Genetics, 107(2), 293–310. https://doi.org/10.1016/j. ajhg.2020.06.014

Chouchane L., Boussen H., Sastry K.S.R. (2013). Breast cancer in arab populations: Molecular characteristics and disease management implications. The Lancet Oncology, 14(10)

Chouchane, L., Rafii, A., & Halabi, N. M. (2022). Discovery of new therapeutic targets in ovarian cancer through identifying significantly nonmutated genes. Journal of Translational Medicine, 20(1), Article 244. https://pubmed.ncbi.nlm.nih. gov/23993386/

Clark, D. W., Okada, Y., Moore, K. H., Mason, D., Pirastu, N., Gandin, I., ... & Jagadeesan, A. (2019). Associations of autozygosity with a broad range of human phenotypes. Nature communications10(1), 4957.

Claussnitzer M., Dankel S.N., Klocke B., Grallert H., Glunk V., Berulava T., Lee H., Oskolkov N., Fadista J., Ehlers K., Wahl S., Hoffmann C., Qian K., Rönn T., Riess H., Müller-Nurasyid M., Bretschneider N., Schroeder T., Skurk T., Horsthemke B., Spieler D., Klingenspor M., Seifert M., Kern M.J., Mejhert N., Dahlman I., Hansson O., Hauck S.M., Blüher M., Arner P., Groop L., Illig T., Suhre K., Hsu Y.H., Mellgren G., Hauner H., Laumen H. (2014). Leveraging cross-species transcription factor binding site patterns: From diabetes risk loci to disease mechanisms. Cell, 156(44928)

Colon-Cortes, Y., Hasan, M. A., & Aslanidi, G. (2020). Intra-tracheal delivery of AAV6 vectors results in sustained transduction in murine lungs without genomic integration. Gene, 763, 100037. https://doi. org/10.1016/j.gene.2020.100037

Cornelis M.C., Kacprowski T., Menni C., Gustafsson S., Pivin E., Adamski J., Artati A., Eap C.B., Ehret G., Friedrich N., Ganna A., Guessous I., Homuth G., Lind L., Magnusson P.K., Mangino M., Pedersen N.L., Pietzner M., Suhre K., Völzke H., Bochud M., Spector T.D., Grabe H.J., Ingelsson E., Burnier M., Devuyst O., Martin P.Y., Mohaupt M., Paccaud F., Pechere-

Bertschi A., Vogt B., Ackermann D., Ponte B., Pruijm M., Swiss Kidney Project on Genes in Hypertension (SKIPOGH) team (2016). Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeineconsumption behavior. Human Molecular Genetics, 25(24)

Cotton R.J., Graumann J. (2016). readat: An R package for reading and working with SomaLogic ADAT files. BMC Bioinformatics, 17(1)

COVID-19 Host Genetics InitiativeLeadership, Niemi, M. E. K., Karjalainen, J., Liao, R. G., Neale, B. M., Daly, M., Ganna, A., Writing group, Writing group leaders, Pathak, G. A., Andrews, S. J., Kanai, M., Writing group members, Veerapen, K., FernandezCadenas, I., Schulte, E. C., Striano, P., Marttila, M., … COVID-19 HGI corresponding authors. (2021). Mapping the human genetic architecture of COVID-19. Nature, 600(7889), 472–477. https://doi. org/10.1038/s41586-021-03767-x

Da’as, S. I., Thanassoulas, A., Calver, B. L., Beck, K., Salem, R., Saleh, A., Kontogianni, I., Al-Maraghi, A., Nasrallah, G. K., Safieh-Garabedian, B., Toft, E., Nounesis, G., Lai, F. A., & Nomikos, M. (2019). Arrhythmogenic calmodulin E105A mutation alters cardiac RyR2 regulation leading to cardiac dysfunction in zebrafish. Annals of the New York Academy of Sciences, 1448(1), 19–29. https://doi. org/10.1111/nyas.14033

Da’as, S. I., Yalcin, H. C., Nasrallah, G. K., Mohamed, I. A., Nomikos, M., Yacoub, M. H., & Fakhro, K. A. (2020). Functional characterization of human myosin-binding protein C3 variants associated with hypertrophic cardiomyopathy reveals exon-specific cardiac phenotypes in zebrafish model. Journal of Cellular Physiology, 235(11), 7870-7888.

Dain Md Opo F.A., Alsaiari A.A., Rahman Molla M.H., Ahmed Sumon M.A., Yaghmour K.A., Ahammad F., Mohammad F., Simal-Gandara J.(2022). Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process.Frontiers in Chemistry,10.

Dakroury, Y., Atkin, S. L., Dargham, S. R., Robay, A., Rodriguez-Flores, J., Crystal, R. G., & Butler, A. E. (2020). Qatari Genotype May Contribute to Complications in Type 2 Diabetes. Journal of Diabetes Research, 2020, e6356973. https://doi. org/10.1155/2020/6356973

110 111
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Dakroury, Y., Butler, A. E., Dargham, S. R., Latif, A., Robay, A., Crystal, R. G., & Atkin, S. L. (2020). Association of Differing Qatari Genotypes with Vitamin D Metabolites. International Journal of Endocrinology, 2020, 7831590. https://doi. org/10.1155/2020/7831590

Darvin, P., Sasidharan Nair, V., & Elkord, E. (2019). PD-L1 Expression in Human Breast Cancer Stem Cells Is Epigenetically Regulated through Posttranslational Histone Modifications. Journal of Oncology, 2019, e3958908. https://doi. org/10.1155/2019/3958908

Darwish, T., Al-Khulaifi, A., Ali, M., Mowafy, R., Arredouani, A., Doi, S. A., & Emara, M. M. (2022). Assessing the consistency of iPSC and animal models in cystic fibrosis modelling: A meta-analysis. PLOS ONE, 17(8), e0272091. https://doi.org/10.1371/ journal.pone.0272091

De Almeida Azevedo R., Fleitas-Paniagua P.R., Trpcic M., Iannetta D., Millet G.Y., Murias J.M.(2023). Different ramp-incremental slopes elicit similar V O2max and fatigability profiles in females and males despite differences in peak power output.Journal of Applied Physiology,135(1)

Decock, J., Hendrickx, W., Thirkettle, S., GutiérrezFernández, A., Robinson, S. D., & Edwards, D. R. (2015). Pleiotropic functions of the tumor- and metastasis-suppressing matrix metalloproteinase-8 in mammary cancer in MMTV-PyMT transgenic mice. Breast Cancer Research, 17(1), 38. https://doi. org/10.1186/s13058-015-0545-8

Demiral, M., Demirbilek, H., Çelik, K., Okur, N., Hussain, K., & Ozbek, M. N. (2020). Neonatal diabetes due to homozygous INS gene promoter mutations: Highly variable phenotype, remission and early relapse during the first 3 years of life. Pediatric Diabetes, 21(7), 1169–1175. https://doi.org/10.1111/ pedi.13079

Demirbilek, H., Cayir, A., Flanagan, S. E., Yıldırım, R., Kor, Y., Gurbuz, F., Haliloğlu, B., Yıldız, M., Baran, R. T., Akbas, E. D., Demiral, M., Ünal, E., Arslan, G., Vuralli, D., Buyukyilmaz, G., Al-Khawaga, S., Saeed, A., Al Maadheed, M., Khalifa, A., … De Franco, E. (2020). Clinical Characteristics and Longterm Follow-up of Patients with Diabetes Due To PTF1A Enhancer Mutations. The Journal of Clinical Endocrinology & Metabolism, 105(12), e4351–e4359. https://doi.org/10.1210/clinem/dgaa613

Deutelmoser H., Scherer D., Brenner H., Waldenberger M., Suhre K., Kastenmüller G., Bermejo J.L. (2021). Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data.

Briefings in Bioinformatics, 22(4)

Dhanda N., Taheri S. (2017). A narrative review of obesity and hearing loss. International Journal of Obesity, 41(7)

Dharuri H., Henneman P., Demirkan A., van Klinken J.B., Mook-Kanamori D.O., Wang-Sattler R., Gieger C., Adamski J., Hettne K., Roos M., Suhre K., Van Duijn C.M., van Dijk K.W., ‹t Hoen P.A.C., Ugocsai P., Isaacs A., Pramstaller P.P., Liebisch G., Wilson J.F., Johansson A., Rudan I., Aulchenko Y.S., Kirichenko A.V., Janssens A.C.J.W., Jansen R.C., Gnewuch C., Domingues F.S., Pattaro C., Wild S.H., Jonasson I., Polasek O., Zorkoltseva I.V., Hofman A., Karssen L., Struchalin M., Floyd J., Igl W., Biloglav Z., Broer

L., Pfeufer A., Pichler I., Campbell S., Zaboli G., Kolcic I., Rivadeneira F., Huffman J., Hastie N.D., Uitterlinden A., Franke L., Franklin C.S., Vitart V., Witteman J.C.M., Axenovich T., Oostra B.A., Meitinger

T., Hicks A.A., Hayward C., Wright A.F., Gyllensten U., Campbell H., Schmitz G. (2013). Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles. BMC Genomics, 14(1)

Diane, A., Mahmoud, N., Bensmail, I., Khattab, N., Abunada, H. A., & Dehbi, M. (2020). Alpha lipoic acid attenuates ER stress and improves glucose uptake through DNAJB3 cochaperone. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s41598-02077621-x

Diboun I, Al-Sarraj Y, Toor SM, Mohammed S, Qureshi N, Al Hail MSH, Jayyousi A, Al Suwaidi J, Albagha OME. The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects. Front Genet. 2022 Jul 15;13:927504. doi: 10.3389/ fgene.2022.927504. PMID: 35910211; PMCID: PMC9337875.

Diboun, I., Cyprian, F. S., Anwardeen, N. R., Yassine, H. M., Elrayess, M. A., Rahmoon, S. M., Sayed, S. K., Schuchardt, S., Khatib, M., Bansal, D., Farag, E. A. B. A., Emara, M. M., & Abdallah, A. M. (2022). Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in PreExisting TB Cases Infected With SARS-CoV-2. Frontiers in Cellular and Infection Microbiology, 12, 929689.

https://doi.org/10.3389/fcimb.2022.929689

Diboun I., Ramanjaneya M., Ahmed L., Bashir M.,

Butler A.E., Albagha O., Abou-Samra A.B., Atkin S.L., Mazloum N.A., Elrayess M.A. (2021). Metabolomic Profiling of Pregnancies With Polycystic Ovary Syndrome Identifies a Unique Metabolic Signature and Potential Predictive Biomarkers of Low Birth Weight. Frontiers in Endocrinology, 12

Diboun I., Ramanjaneya M., Majeed Y., Ahmed L., Bashir M., Butler A.E., Abou-Samra A.B., Atkin S.L., Mazloum N.A., Elrayess M.A. (2020). Metabolic profiling of pre-gestational and gestational diabetes mellitus identifies novel predictors of pre-term delivery. Journal of translational medicine, 18(1)

Diboun, I., Wani, S., Ralston, S. H., & Albagha, O. M. E. (2022). Epigenetic DNA Methylation Signatures Associated With the Severity of Paget’s Disease of Bone. Frontiers in Cell and Developmental Biology, 10, 903612. https://doi.org/10.3389/fcell.2022.903612

Dikiy, I., Fauvet, B., Jovičić, A., Mahul-Mellier, A.-L., Desobry, C., El-Turk, F., Gitler, A. D., Lashuel, H. A., & Eliezer, D. (2016). Semisynthetic and in Vitro Phosphorylation of Alpha-Synuclein at Y39 Promotes Functional Partly Helical Membrane-Bound States Resembling Those Induced by PD Mutations. ACS Chemical Biology, 11(9), 2428–2437. https://doi. org/10.1021/acschembio.6b00539

Do K.T., Kastenmüller G., Mook-Kanamori D.O., Yousri N.A., Theis F.J., Suhre K., Krumsiek J. (2015). Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva. Journal of Proteome Research, 14(2)

Draisma H.H.M., Pool R., Kobl M., Jansen R., Petersen A.-K., Vaarhorst A.A.M., Yet I., Haller T., Demirkan A., Esko T., Zhu G., Böhringer S., Beekman M., Van Klinken J.B., Römisch-Margl W., Prehn C., Adamski J., De Craen A.J.M., Van Leeuwen E.M., Amin N., Dharuri H., Westra H.-J., Franke L., De Geus E.J.C., Hottenga J.J., Willemsen G., Henders A.K., Montgomery G.W., Nyholt D.R., Whitfield J.B., Penninx B.W., Spector T.D., Metspalu A., Eline Slagboom P., Van Dijk K.W., ‹T Hoen P.A.C., Strauch K., Martin N.G., Van Ommen G.-J.B., Illig T., Bell J.T., Mangino M., Suhre K., McCarthy M.I., Gieger C., Isaacs A., Van Duijn C.M., Boomsma D.I. (2015). Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels. Nature Communications, 6

EGG Consortium, Warrington, N. M., Beaumont, R. N., Horikoshi, M., Day, F. R., Helgeland, Ø., Laurin, C., Bacelis, J., Peng, S., Hao, K., Feenstra, B., Wood, A. R., Mahajan, A., Tyrrell, J., Robertson, N. R., Rayner, N. W., Qiao, Z., Moen, G.-H., Vaudel, M., …

Freathy, R. M. (2019). Maternal and fetal genetic effects on birth weight and their relevance to cardiometabolic risk factors. Nature Genetics, 51(5), 804–814. https://doi.org/10.1038/s41588-019-0403-1

Ehret, G. B., Ferreira, T., Chasman, D. I., Jackson, A. U., Schmidt, E. M., Johnson, T., ... & Komulainen, P. (2016). The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nature genetics, 48(10), 1171-1184.

Ehtewish H., Mesleh A., Ponirakis G., De la Fuente A., Parray A., Bensmail I., Abdesselem H., Ramadan M., Khan S., Chandran M., Ayadathil R., Elsotouhy A., Own A., Al Hamad H., Abdelalim E.M., Decock J., Alajez N.M., Albagha O., Thornalley P.J., Arredouani A., Malik R.A., El-Agnaf O.M.A.(2023). Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia. International Journal of Molecular Sciences,24(9)

El-Agnaf O., Bensmail I., Al-Nesf M.A.Y., Flynn J., Taylor M., Majbour N.K., Abdi I.Y., Vaikath N.N., Farooq A., Vemulapalli P.B., Schmidt F., Ouararhni K., Al-Siddiqi H.H., Arredouani A., Wijten P., Al-Maadheed M., Mohamed-Ali V., Decock J., Abdesselem H.B. (2023). Uncovering a neurological protein signature for severe COVID-19. Neurobiology of Disease, 182

El-Agnaf, O., Overk, C., Rockenstein, E., Mante, M., Florio, J., Adame, A., Vaikath, N., Majbour, N., Lee, S.-J., Kim, C., Masliah, E., & Rissman, R. A. (2017). Differential effects of immunotherapy with antibodies targeting α-synuclein oligomers and fibrils in a transgenic model of synucleinopathy. Neurobiology of Disease, 104, 85–96. https://doi.org/10.1016/j. nbd.2017.05.002

Elango, R., Alsaleh, K. A., Vishnubalaji, R., Manikandan, M., Ali, A. M., Abd El-Aziz, N., Altheyab, A., Al-Rikabi, A., Alfayez, M., Aldahmash, A., & Alajez, N. M. (2020). MicroRNA Expression Profiling on Paired Primary and Lymph Node Metastatic Breast Cancer Revealed Distinct microRNA Profile Associated With LNM. Frontiers in Oncology, 10. https://doi.org/10.3389/fonc.2020.00756

Elango R, Rashid S, Vishnubalaji R, Al-Sarraf R, Akhtar M, Ouararhni K, Decock J, Albagha OME, Alajez NM. Transcriptome profiling and network enrichment analyses identify subtype-specific therapeutic gene targets for breast cancer and their microRNA regulatory networks. Cell Death Dis. 2023 Jul 12;14(7):415. doi: 10.1038/s41419-023-05908-8. PMID: 37438342; PMCID: PMC10338679.

112 113 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Elango, R., Vishnubalaji, R., Manikandan, M., Binhamdan, S. I., Siyal, A.-A., Alshawakir, Y. A., Alfayez, M., Aldahmash, A., & Alajez, N. M. (2019). Concurrent targeting of BMI1 and CDK4/6 abrogates tumor growth in vitro and in vivo. Scientific Reports, 9(1), Article 1. https://doi.org/10.1038/s41598-01950140-0

Elango, R., Vishnubalaji, R., Shaath, H., & Alajez, N. M. (2021a). Molecular subtyping and functional validation of TTK, TPX2, UBE2C, and LRP8 in sensitivity of TNBC to paclitaxel. Molecular Therapy. Methods & Clinical Development, 20, 601–614. https://doi.org/10.1016/j.omtm.2021.01.013

Elango, R., Vishnubalaji, R., Shaath, H., & Alajez, N. M. (2021b). Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition. Cancer Cell International, 21(1), 515. https://doi.org/10.1186/s12935-021-02213-2

Elashi, A. A., Sasidharan Nair, V., Taha, R. Z., Shaath, H., & Elkord, E. (2019). DNA methylation of immune checkpoints in the peripheral blood of breast and colorectal cancer patients. OncoImmunology, 8(2), e1542918. https://doi.org/10.1080/216240 2X.2018.1542918

Elashi A.A., Toor S.M., Diboun I., Al-Sarraj Y., Taheri S., Suhre K., Abou-Samra A.B., Albagha O.M.E.(2023). The Genetic Spectrum of MaturityOnset Diabetes of the Young (MODY) in Qatar, a Population-Based Study.International Journal of Molecular Sciences,24(1)

Elfatih, A., Da’as, S. I., Abdelrahman, D., Mbarek, H., Mohammed, I., Hasan, W., Fakhro, K. A., for the The Qatar Genome Program Research Consortium, Ismail, S. I., Al-Muftah, W., Badji, R., Mbarek, H., Darwish, D., Fadl, T., Yasin, H., Ennaifar, M., Abdellatif, R., Alkuwari, F., Alvi, M., … Mifsud, B. (2022). Analysis of incidental findings in Qatar genome participants reveals novel functional variants in LMNA and DSP. Human Molecular Genetics, 31(16), 2796–2809. https://doi.org/10.1093/hmg/ddac073

Elfatih A., Mifsud B., Syed N., Badii R., Mbarek H., Abbaszadeh F., Estivill X., Ismail S., Al-Muftah W., Badji R., Mbarek H., Darwish D., Fadl T., Yasin H., Ennaifar M., Abdel-latif R., Alkuwari F., Alvi M., Sarraj Y.A., Saad C., Althani A., Fethnou E., Qafoud F., Alkhayat E., Afifi N., Tomei S., Liu W., Lorenz S., Syed N., Almabrazi H., Vempalli F.R., Temanni R., Saqri T.A., Khatib M., Hamza M., Zaid T.A., El Khouly A., Pathare T., Poolat S., Al-Ali R.,

Albagha O.M.E., Al-Khodor S., Alshafai M., Badii R., Chouchane L., Estivill X., Fakhro K., Mbarek H., Mokrab Y., Puthen J.V., Suhre K., Tatari Z., The Qatar Genome Program Research Consortium, Qatar Genome Project Management, Biobank and Sample Preparation, Sequencing and Genotyping group, Applied Bioinformatics Core, Data Management and Computing Infrastructure group, Consortium Lead Principal Investigators (2021). Actionable genomic variants in 6045 participants from the Qatar Genome Program. Human Mutation, 42(12)

Elhadad M.A., Jonasson C., Huth C., Wilson R., Gieger C., Matias P., Grallert H., Graumann J., Gailus-Durner V., Rathmann W., Toerne C.V., Hauck S.M., Koenig W., Sinner M.F., Oprea T.I., Suhre K., Thorand B., Hveem K., Peters A., Waldenberger M. (2020). Deciphering the plasma proteome of type 2 diabetes. Diabetes, 69(12)

Elhadad M.A., Wilson R., Zaghlool S.B., Huth C., Gieger C., Grallert H., Graumann J., Rathmann W., Koenig W., Sinner M.F., Hveem K., Suhre K., Thorand B., Jonasson C., Waldenberger M., Peters A. (2021). Metabolic syndrome and the plasma proteome: from association to causation. Cardiovascular Diabetology, 20(1)

Elhadd T., Dabbous Z., Bashir M., Elzouki A., Ghadban W., Baagar K., Benjamin S., Hassanien M., Saeed A.A.M., Dukhan K., Malik R.A., Abou-Samra A.-B., Elhadd T.A., Bashir M.A., Samra A.B.A., AlMohanadi D.H., Elzouki A.N.M.A.Y., Saeed A.M., Ali H.A., Dukhan K.M., Mustafa M.S.A., Baager K., Naem E., Farouk S., Ponirakis G., Al-Hail L., Siddique M., Eledreisi M.S., for the PROFAST Study Group (2018). Incidence of hypoglycaemia in patients with type-2 diabetes taking multiple glucose lowering therapies during Ramadan: the PROFAST Ramadan Study. Journal of Diabetes and Metabolic Disorders, 17(2) Elhag, D. A., Kumar, M., & Al Khodor, S. (2020). Exploring the Triple Interaction between the Host Genome, the Epigenome, and the Gut Microbiome in Type 1 Diabetes. International Journal of Molecular Sciences, 22(1), 125. https://doi.org/10.3390/ ijms22010125

Elnaggar, M., Al-Mohannadi, A., Hasan, W., Abdelrahman, D., Al-Kubaisi, M. J., Pavlovski, I., Gentilcore, G., Sathappan, A., Kizhakayil, D., Ali, A. I., Mohan, S., Olagunju, D., Cugno, C., Grivel, J.C., Borsotti, C., Follenzi, A., Da’as, S. I., & Deola, S. (2023). CD14+/CD31+ monocytes expanded by UM171 correct hemophilia A in zebrafish upon lentiviral gene transfer of factor VIII. Blood Advances, 7(5), 697–711. https://doi.org/10.1182/ bloodadvances.2022009014

Elnaggar, M., Al-Mohannadi, A., Kizhakayil, D., Raynaud, C. M., Al-Mannai, S., Gentilcore, G., Pavlovski, I., Sathappan, A., Van Panhuys, N., Borsotti, C., Follenzi, A., Grivel, J.-C., & Deola, S. (2020). Flow-Cytometry Platform for Intracellular Detection of FVIII in Blood Cells: A New Tool to Assess Gene Therapy Efficiency for Hemophilia A. Molecular Therapy - Methods & Clinical Development, 17, 1–12. https://doi.org/10.1016/j. omtm.2019.11.003

Elsafadi, M., Manikandan, M., Almalki, S., Mahmood, A., Shinwari, T., Vishnubalaji, R., Mobarak, M., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2020). Transgelin is a poor prognostic factor associated with advanced colorectal cancer (CRC) stage promoting tumor growth and migration in a TGFβ-dependent manner. Cell Death & Disease, 11(5), Article 5. https://doi.org/10.1038/s41419-0202529-6

Elsafadi, M., Shinwari, T., Al-Malki, S., Manikandan, M., Mahmood, A., Aldahmash, A., Alfayez, M., Kassem, M., & Alajez, N. M. (2019). Convergence of TGFβ and BMP signaling in regulating human bone marrow stromal cell differentiation. Scientific Reports, 9(1), Article 1 https://doi.org/10.1038/ s41598-019-41543-0

Elsaid M.F., Chalhoub N., Ben-Omran T., Kumar P., Kamel H., Ibrahim K., Mohamoud Y., Al-Dous E., Al-Azwani I., Malek J.A., Suhre K., Ross M.E., Aleem A.A. (2017). Mutation in noncoding RNA RNU12 causes early onset cerebellar ataxia. Annals of Neurology, 81(1)

Elsakrmy N., Aouida M., Hindi N., Moovarkumudalvan B., Mohanty A., Ali R., Ramotar D.(2022). C. elegans ribosomal protein S3 protects against H2O2-induced DNA damage and suppresses spontaneous mutations in yeast.DNA Repair,117.

Elsayed, A. K., Aghadi, M., Ali, G., Al-Khawaga, S., Hussain, K., & Abdelalim, E. M. (2020). Generation of a human induced pluripotent stem cell line (QBRIi009-A) from a patient with a heterozygous deletion of FOXA2. Stem Cell Research, 42, 101705. https://doi.org/10.1016/j.scr.2020.101705

Elsayed, A. K., Aghadi, M., Al-Khawaga, S., Hussain, K., & Abdelalim, E. M. (2020). Derivation of a human induced pluripotent stem cell line (QBRIi007-A) from a patient carrying a homozygous intronic mutation (c.613-7T>G) in the SLC2A2 gene. Stem Cell Research, 44, 101736. https://doi.org/10.1016/j. scr.2020.101736

Elsayed, A. K., Alajez, N. M., & Abdelalim, E. M. (2023). Genome-wide differential expression profiling of long non-coding RNAs in FOXA2 knockout iPSCderived pancreatic cells. Cell Communication and Signaling, 21(1), 229. https://doi.org/10.1186/s12964023-01212-2

Elsayed, A. K., Al-Khawaga, S., Hussain, K., & Abdelalim, E. M. (2021). An induced pluripotent stem cell line derived from a patient with neonatal diabetes and Fanconi-Bickel syndrome caused by a homozygous mutation in the SLC2A2 gene. Stem Cell Research, 54, 102433. https://doi.org/10.1016/j. scr.2021.102433

Elsayed, A. K., Salloum-Asfar, S., & Abdulla, S. A. (2021). Human induced pluripotent stem cell line (QBRIi013-A) derivation from a 6-year-old female diagnosed with Autism spectrum disorder (ASD) and intellectual disability (ID). Stem Cell Research, 56, 102500. https://doi.org/10.1016/j.scr.2021.102500

Elsayed, A. K., Vimalraj, S., Nandakumar, M., & Abdelalim, E. M. (2021). Insulin resistance in diabetes: The promise of using induced pluripotent stem cell technology. World Journal of Stem Cells, 13(3), 221–235. https://doi.org/10.4252/wjsc.v13. i3.221

Elsayed, A. K., Younis, I., Ali, G., Hussain, K., & Abdelalim, E. M. (2021). Aberrant development of pancreatic beta cells derived from human iPSCs with FOXA2 deficiency. Cell Death & Disease, 12(1), Article 1. https://doi.org/10.1038/s41419-021-03390-8

Elsheikha H.M., Büsselberg D., Zhu X.-Q. (2016). The known and missing links between Toxoplasma gondii and schizophrenia. Metabolic Brain Disease, 31(4)

Eltai, N. O., Al Thani, A. A., Al Hadidi, S. H., Al Ansari, K., & Yassine, H. M. (2020). Antibiotic resistance and virulence patterns of pathogenic Escherichia coli strains associated with acute gastroenteritis among children in Qatar. BMC Microbiology, 20(1), 54. https://doi.org/10.1186/s12866-020-01732-8

Emara, M. M., Fujimura, K., Sciaranghella, D., Ivanova, V., Ivanov, P., & Anderson, P. (2012). Hydrogen peroxide induces stress granule formation independent of eIF2α phosphorylation. Biochemical and Biophysical Research Communications, 423(4), 763–769. https://doi.org/10.1016/j.bbrc.2012.06.033

Errafii, K., Al-Akl, N. S., Khalifa, O., & Arredouani, A. (2021). Comprehensive analysis of LncRNAs expression profiles in an in vitro model of steatosis

114 115
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

treated with Exendin-4. Journal of Translational Medicine, 19(1), 235. https://doi.org/10.1186/s12967021-02885-4

Errafii, K., Khalifa, O., Al-Akl, N. S., & Arredouani, A. (2022). Comparative Transcriptome Analysis Reveals That Exendin-4 Improves Steatosis in HepG2 Cells by Modulating Signaling Pathways Related to Lipid Metabolism. Biomedicines, 10(5), Article 5. https:// doi.org/10.3390/biomedicines10051020

Esefeld M., Pastor A., De La Torre R., Barroso O., Aikin R., Sarwath H., Engelke R., Schmidt F., Suhre K. (2021). The proteomic signature of recombinant growth hormone in recreational athletes. Journal of the Endocrine Society, 5(12)

Essa, M. M., & Qoronfleh, M. W. (Eds.). (2020). Personalized Food Intervention and Therapy for Autism Spectrum Disorder Management (Vol. 24). Springer International Publishing. https://doi. org/10.1007/978-3-030-30402-7

Fakhro K.A., Elbardisi H., Arafa M., Robay A., Rodriguez-Flores J.L., Al-Shakaki A., Syed N., Mezey J.G., Abi Khalil C., Malek J.A., Al-Ansari A., Al Said S., Crystal R.G. (2018). Point-of-care whole-exome sequencing of idiopathic male infertility. Genetics in Medicine, 20(11)

Fakhro K.A., Robay A., Rodrigues-Flores J.L., Mezey J.G., Al-Shakaki A.A., Chidiac O., Stadler D., Malek J.A., Imam A.B., Sheikh A., Azzam A., Janahi I., Khanjar I., Osman K., Ziki M.A., Mahmah M.A., Selim M., Numeiri N., Ali R., Lakhani S., Butt F., Omran T.B., Crystal R.G. (2019). Point of Care Exome Sequencing Reveals Allelic and Phenotypic Heterogeneity Underlying Mendelian disease in Qatar. Human Molecular Genetics, 28(23)

Fakhro K.A., Staudt M.R., Ramstetter M.D., Robay A., Malek J.A., Badii R., Al-Marri A.A.-N., Khalil C.A., AlShakaki A., Chidiac O., Stadler D., Zirie M., Jayyousi A., Salit J., Mezey J.G., Crystal R.G., RodriguezFlores J.L. (2016). The Qatar genome: A populationspecific tool for precision medicine in the Middle East. Human Genome Variation, 3()

Fakhro K.A., Yousri N.A., Rodriguez-Flores J.L., Robay A., Staudt M.R., Agosto-Perez F., Salit J., Malek J.A., Suhre K., Jayyousi A., Zirie M., Stadler D., Mezey J.G., Crystal R.G. (2015). Copy number variations in the genome of the Qatari population.

BMC Genomics, 16(1)

Fakhro, K., Staudt, M., Ramstetter, M. et al. The Qatar genome: a population-specific tool for precision medicine in the Middle East. Hum Genome Var 3, 16016 (2016). https://doi.org/10.1038/ hgv.2016.16.

Fakhruddin N., Mahfouz R., Farhat F., Tfayli A., Abdelkhalik R., Jabbour M., Yehia L., Mahfoud Z., Zaatari G. (2014). Epidermal growth factor receptor and KRAS mutations in lung adenocarcinoma: A retrospective study of the Lebanese population. Oncology Reports, 32(5)

Fallerini, C., Picchiotti, N., Baldassarri, M., Zguro, K., Daga, S., Fava, F., ... & Furini, S. (2022). Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity. Human genetics, 141(1), 147-173.

Fares, M.-B., Maco, B., Oueslati, A., Rockenstein, E., Ninkina, N., Buchman, V. L., Masliah, E., & Lashuel, H. A. (2016). Induction of de novo α-synuclein fibrillization in a neuronal model for Parkinson’s disease. Proceedings of the National Academy of Sciences, 113(7), E912–E921. https://doi. org/10.1073/pnas.1512876113

Fatima, M. T., Islam, Z., Kolatkar, P. R., & AlShabeeb Akil, A. S. (2022). Molecular Analysis and Conformational Dynamics of Human MC4R DiseaseCausing Mutations. Molecules, 27(13), Article 13. https://doi.org/10.3390/molecules27134037

Favennec, M., Hennart, B., Caiazzo, R., Leloire, A., Yengo, L., Verbanck, M., Arredouani, A., Marre, M., Pigeyre, M., Bessede, A., Guillemin, G. J., Chinetti, G., Staels, B., Pattou, F., Balkau, B., Allorge, D., Froguel, P., & Poulain-Godefroy, O. (2015). The kynurenine pathway is activated in human obesity and shifted toward kynurenine monooxygenase activation. Obesity, 23(10), 2066–2074. https://doi. org/10.1002/oby.21199

Fayyad, M., Erskine, D., Majbour, N. K., Vaikath, N. N., Ghanem, S. S., Sudhakaran, I. P., Abdesselem, H., Lamprokostopoulou, A., Vekrellis, K., Morris, C. M., Attems, J., & El-Agnaf, O. M. A. (2020). Investigating the presence of doubly phosphorylated α-synuclein at tyrosine 125 and serine 129 in idiopathic Lewy body diseases. Brain Pathology, 30(4), 831–843. https://doi.org/10.1111/bpa.12845

Fayyad, M., Majbour, N. K., Vaikath, N. N., Erskine,

D., El-Tarawneh, H., Sudhakaran, I. P., Abdesselem, H., & El-Agnaf, O. M. A. (2020). Generation of monoclonal antibodies against phosphorylated α-Synuclein at serine 129: Research tools for synucleinopathies. Neuroscience Letters, 725, 134899. https://doi.org/10.1016/j.neulet.2020.134899

Fernández-Rhodes L., Malinowski J.R., Wang Y., Tao R., Pankratz N., Jeff J.M., Yoneyama S., Carty C.L., Setiawan V.W., Le Marchand L., Haiman C., Corbett S., Demerath E., Heiss G., Gross M., Buzkova P., Crawford D.C., Hunt S.C., Rao D.C., Schwander K., Chakravarti A., Gottesman O., AbulHusn N.S., Bottinger E.P., Loos R.J.F., Raffel L.J., Yao J., Guo X., Bielinski S.J., Rotter J.I., Vaidya D., Chen Y.-D.I., Castañeda S.F., Daviglus M., Kaplan R., Talavera G.A., Ryckman K.K., Peters U., Ambite J.L., Buyske S., Hindorff L., Kooperberg C., Matise T., Franceschini N., North K.E. (2018). The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multiethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic metaanalysis. PLoS ONE, 13(7)

Fitzgerald S., Kelso R., Grimshaw P., Warr A.(2022). Measurements of roll, steering, and the far-field wake in track cycling.Scientific Reports,12(1)

Fitzmaurice C., Abate D., Abbasi N., Abbastabar H., Abd-Allah F., Abdel-Rahman O., Abdelalim A., Abdoli A., Abdollahpour I., Abdulle A.S.M., Abebe N.D., Abraha H.N., Abu-Raddad L.J., Abualhasan A., Adedeji I.A., Advani S.M., Afarideh M., et al., Global Burden of Disease Cancer Collaboration (2019). Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-Adjusted life-years for 29 cancer groups, 1990 to 2017: A systematic analysis for the global burden of disease study. JAMA Oncology, 5(12)

Fleitas-Paniagua P.R., de Almeida Azevedo R., Trpcic M., Murias J.M., Rogers B.(2023). Effect of ramp slope on intensity thresholds based on correlation properties of heart rate variability during cycling. Physiological Reports,11(15)

Florea A.-M., Varghese E., McCallum J.E., Mahgoub S., Helmy I., Varghese S., Gopinath N., Sass S., Theis F.J., Reifenberger G., Büsselberg D. (2017). Calciumregulatory proteins as modulators of chemotherapy in human neuroblastoma. Oncotarget, 8(14)

Föcker M., Timmesfeld N., Scherag S., Knoll N., Singmann P., Wang-Sattler R., Bühren K., Schwarte R., Egberts K., Fleischhaker C., Adamski J., Illig T., Suhre K., Albayrak Ö., Hinney A., Herpertz-

Dahlmann B., Hebebrand J. (2012). Comparison of metabolic profiles of acutely ill and short-term weight recovered patients with anorexia nervosa reveals alterations of 33 out of 163 metabolites. Journal of Psychiatric Research, 46(12)

Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., ... & Carrero, J. J. (2016). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The lancet, 388(10053), 1659-1724.

Frank, T. D., Carter, A., Jahagirdar, D., Biehl, M. H., Douwes-Schultz, D., Larson, S. L., ... & Hosseinzadeh, M. (2019). Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. The lancet HIV, 6(12), e831-e859.

Frazier, T. W., Uljarevic, M., Ghazal, I., Klingemier, E. W., Langfus, J., Youngstrom, E. A., Aldosari, M., Al-Shammari, H., El-Hag, S., Tolefat, M., Ali, M., & Al-Shaban, F. A. (2021). Social attention as a crosscultural transdiagnostic neurodevelopmental risk marker. Autism Research, 14(9), 1873–1885. https:// doi.org/10.1002/aur.2532

Friedrich N., Budde K., Suhre K., Völker U., John U., Felix S.B., Kroemer H.K., Grabe H.J., Völzke H., Nauck M., Wallaschofski H. (2015). Sex differences in urine metabolites related with risk of diabetes using NMR spectroscopy: results of the study of health in pomerania. Metabolomics, 11(5)

Fthenou E, Al Thani A, Al Marri A, Afifi N. Qatar Biobank: A Paradigm of Translating Biobank Science into Evidence-Based Health Care Interventions. Biopreserv Biobank. 2019 Dec;17(6):491-493. doi: 10.1089/bio.2019.0051. PMID: 31833811.

Fullman, N., Barber, R. M., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., ... & Dubey, M. (2017). Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016. The Lancet, 390(10100), 1423-1459.

Fullman, N., Yearwood, J., Abay, S. M., Abbafati, C., Abd-Allah, F., Abdela, J., ... & Chang, H. Y. (2018).

116 117 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016. The Lancet, 391(10136), 2236-2271.

Furlong, E., Jensen, J., Woodard, M., Griffiths, K., Knight, G., Sturm, M., Kerr, F., Gough, H., Bear, N., Carter, T. L., Cole, C. H., Kotecha, R. S., & Ramachandran, S. (2020). Optimized peripheral blood progenitor cell mobilization for autologous hematopoietic cell transplantation in children with high-risk and refractory malignancies. Pediatric Transplantation, 24(1). https://doi.org/10.1111/ petr.13602

Gabriel, M., Bollensdorff, C., & Raynaud, C. M. (2022). Surface Modification of Polytetrafluoroethylene and Polycaprolactone Promoting Cell-Selective Adhesion and Growth of Valvular Interstitial Cells. Journal of Functional Biomaterials, 13(2), 70. https://doi.org/10.3390/ jfb13020070

Gad H., Saraswathi S., Al-Jarrah B., Petropoulos I.N., Ponirakis G., Khan A., Singh P., Khodor S.A., Elawad M., Almasri W., Abdelrahman H., Hussain K., Hendaus M.A., Al-Mudahka F., Abouhazima K., McGrogan P., Malik R.A., Akobeng A.K. (2020).

Corneal confocal microscopy demonstrates minimal evidence of distal neuropathy in children with celiac disease. PLoS ONE, 15(45178)

Gadd D.A., Hillary R.F., McCartney D.L., Zaghlool S.B., Stevenson A.J., Cheng Y., Fawns-Ritchie C., Nangle C., Campbell A., Flaig R., Harris S.E., Walker R.M., Shi L., Tucker-Drob E.M., Gieger C., Peters A., Waldenberger M., Graumann J., McRae A.F., Deary I.J., Porteous D.J., Hayward C., Visscher P.M., Cox S.R., Evans K.L., McIntosh A.M., Suhre K., Marioni R.E. (2022). Epigenetic scores for the circulating proteome as tools for disease prediction.

eLife, 11

Gakidou, E., Afshin, A., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., ... & Duncan, S. (2017). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet, 390(10100), 1345-1422.

Galcheva, S., Demirbilek, H., Al-Khawaga, S., & Hussain, K. (2019). The Genetic and Molecular Mechanisms of Congenital Hyperinsulinism.

Frontiers in Endocrinology, 10, 111. https://doi. org/10.3389/fendo.2019.00111

Galon J., Mlecnik B., Bindea G., Angell H.K., Berger A., Lagorce C., Lugli A., Zlobec I., Hartmann A., Bifulco C., Nagtegaal I.D., Palmqvist R., Masucci G.V., Botti G., Tatangelo F., Delrio P., Maio M., Laghi L., Grizzi F., Asslaber M., D›Arrigo C., VidalVanaclocha F., Zavadova E., Chouchane L., Ohashi P.S., Hafezi-Bakhtiari S., Wouters B.G., Roehrl M., Nguyen L., Kawakami Y., Hazama S., Okuno K., Ogino S., Gibbs P., Waring P., Sato N., Torigoe T., Itoh K., Patel P.S., Shukla S.N., Wang Y., Kopetz S., Sinicrope

F.A., Scripcariu V., Ascierto P.A., Marincola F.M., Fox

B.A., Pagès F. (2014). Towards the introduction of the ‹Immunoscore› in the classification of malignant tumours. Journal of Pathology, 232(2)

Galon J., Pagès F., Marincola F.M., Angell H.K., Thurin M., Lugli A., Zlobec I., Berger A., Bifulco

C., Botti G., Tatangelo F., Britten C.M., Kreiter S., Chouchane L., Delrio P., Arndt H., Asslaber M., Maio M., Masucci G.V., Mihm M., Vidal-Vanaclocha

F., Allison J.P., Gnjatic S., Hakansson L., Huber C., Singh-Jasuja H., Ottensmeier C., Zwierzina H., Laghi L., Grizzi F., Ohashi P.S., Shaw P.A., Clarke

B.A., Wouters B.G., Kawakami Y., Hazama S., Okuno K., Wang E., O›Donnell-Tormey J., Lagorce C., Pawelec G., Nishimura M.I., Hawkins R., Lapointe R., Lundqvist A., Khleif S.N., Ogino S., Gibbs P., Waring P., Sato N., Torigoe T., Itoh K., Patel P.S., Shukla S.N., Palmqvist R., Nagtegaal I.D., Wang Y., D›Arrigo C., Kopetz S., Sinicrope F.A., Trinchieri G., Gajewski T.F., Ascierto P.A., Fox B.A. (2012). Cancer classification using the Immunoscore: A worldwide task force. Journal of Translational Medicine, 10(1)

Gandhi G.D., Aamer W., Krishnamoorthy N., Syed N., Aliyev E., Al-Maraghi A., Kohailan M., Alenbawi J., Elanbari M., Mifsud B., Mokrab Y., Khalil C.A., Fakhro K.A., Qatar Genome Program Research Consortium (QGPRC)(2022). Assessing the genetic burden of familial hypercholesterolemia in a large middle eastern biobank.Journal of Translational Medicine,20(1)

Garand, M., Kumar, M., Huang, S. S. Y., & Al Khodor, S. (2020). A literature-based approach for curating gene signatures in multifaceted diseases. Journal of Translational Medicine, 18(1), 279. https://doi. org/10.1186/s12967-020-02408-7

GBD 2015 Mortality and Causes of Death Collaborators, Wang H., Naghavi M., Allen C., Barber R.M., Carter A., Casey D.C., Charlson F.J., Chen A.Z., Coates M.M., et al. (2016). Global, regional,

and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053)

GBD 2015 SDG Collaborators, Lim S.S., Allen K., Dandona L., Forouzanfar M.H., Fullman N., Goldberg E.M., Hay S.I., Holmberg M., Kutz M.J., Larson H.J., Lopez A.D., et al. (2016). Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015. The Lancet, 388(10053)

Geethakumari A.M., Ahmed W.S., Rasool S., Fatima A., Nasir Uddin S.M., Aouida M., Biswas K.H.(2022). A genetically encoded BRET-based SARS-CoV-2 Mpro protease activity sensor.Communications Chemistry,5(1)

Gersch, R. P., Raum, J. C., Calvert, C., & Percec, I. (2020). Fibroblasts Derived From Human Adipose Stem Cells Produce More Effective Extracellular Matrix and Migrate Faster Compared to Primary Dermal Fibroblasts. Aesthetic Surgery Journal, 40(1), 108–117. https://doi.org/10.1093/asj/sjz071

Ghaini, M., Arzanian, M. T., Shamsian, B. S., Sadr, S., Rohani, P., Keramatipour, M., Mesdaghi, M., Eskandarzadeh, S., Lo, B., Jamee, M., & Chavoshzadeh, Z. (2021). Identifying Novel Mutations in Iranian Patients with LPS-responsive Beige-like Anchor Protein (LRBA) Deficiency. Immunological Investigations, 50(4), 399–405. https://doi.org/10.108 0/08820139.2020.1770784

Ghanem, S. S., Fayed, H. S., Zhu, Q., Lu, J.-H., Vaikath, N. N., Ponraj, J., Mansour, S., & El-Agnaf, O. M. A. (2021). Natural Alkaloid Compounds as Inhibitors for Alpha-Synuclein Seeded Fibril Formation and Toxicity. Molecules, 26(12), Article 12. https://doi.org/10.3390/molecules26123736

Ghanem, S. S., Majbour, N. K., Vaikath, N. N., Ardah, M. T., Erskine, D., Jensen, N. M., Fayyad, M., Sudhakaran, I. P., Vasili, E., Melachroinou, K., Abdi, I. Y., Poggiolini, I., Santos, P., Dorn, A., Carloni, P., Vekrellis, K., Attems, J., McKeith, I., Outeiro, T. F., … El-Agnaf, O. M. A. (2022). α-Synuclein phosphorylation at serine 129 occurs after initial protein deposition and inhibits seeded fibril formation and toxicity. Proceedings of the National Academy of Sciences, 119(15), e2109617119. https://

doi.org/10.1073/pnas.2109617119

Ghosh, S. G., Lee, S., Fabunan, R., Chai, G., Zaki, M. S., Abdel-Salam, G., Sultan, T., Ben-Omran, T., Alvi, J. R., McEvoy-Venneri, J., Stanley, V., Patel, A., Ross, D., Ding, J., Jain, M., Pan, D., Lübbert, P., Kammerer, B., Wiedemann, N., … Gleeson, J. G. (2021). Biallelic variants in HPDL, encoding 4-hydroxyphenylpyruvate dioxygenase-like protein, lead to an infantile neurodegenerative condition. Genetics in Medicine, 23(3), 524–533. https://doi. org/10.1038/s41436-020-01010-y

Girotto, G., Morgan, A., Krishnamoorthy, N., Cocca, M., Brumat, M., Bassani, S., La Bianca, M., Di Stazio, M., & Gasparini, P. (2019). Next Generation Sequencing and Animal Models Reveal SLC9A3R1 as a New Gene Involved in Human Age-Related Hearing Loss. Frontiers in Genetics, 10, 142. https://doi. org/10.3389/fgene.2019.00142

Glass, G. E., Mohammedali, S., Sivakumar, B., Stotland, M. A., Abdulkader, F., Prosser, D. O., & Love, D. R. (2022). Poland-Möbius syndrome: A case report implicating a novel mutation of the PLXND1 gene and literature review. BMC Pediatrics, 22(1), 745. https://doi.org/10.1186/s12887-022-03803-3

Glass, G. E., O›Hara, J., Canham, N., Cilliers, D., Dunaway, D., Fenwick, A. L., ... & Wilson, L. C. (2019). ERF-related craniosynostosis: The phenotypic and developmental profile of a new craniosynostosis syndrome. American Journal of Medical Genetics Part A, 179(4), 615-627.

Goek O.-N., Döring A., Gieger C., Heier M., Koenig W., Prehn C., Römisch-Margl W., Wang-Sattler R., Illig T., Suhre K., Sekula P., Zhai G., Adamski J., Köttgen A., Meisinger C. (2012). Serum metabolite concentrations and decreased GFR in the general population. American Journal of Kidney Diseases, 60(2)

Goek O.-N., Prehn C., Sekula P., Römisch-Margl W., Döring A., Gieger C., Heier M., Koenig W., WangSattler R., Illig T., Suhre K., Adamski J., Köttgen A., Meisinger C. (2013). Metabolites associate with kidney function decline and incident chronic kidney disease in the general population. Nephrology Dialysis Transplantation, 28(8)

Golubnitschaja O., Liskova A., Koklesova L., Samec M., Biringer K., Büsselberg D., Podbielska H.,

118 119
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Kunin A.A., Evsevyeva M.E., Shapira N., Paul F., Erb C., Dietrich D.E., Felbel D., Karabatsiakis A., Bubnov R., Polivka J., Polivka J., Jr., Birkenbihl C., Fröhlich H., Hofmann-Apitius M., Kubatka P. (2021). Caution, “normal” BMI: health risks associated with potentially masked individual underweight—EPMA Position Paper 2021. EPMA Journal, 12(3)

Gomari D.P., Schweickart A., Cerchietti L., Paietta E., Fernandez H., Al-Amin H., Suhre K., Krumsiek J. (2022). Variational autoencoders learn transferrable representations of metabolomics data. Communications Biology, 5(1)

Gondáš E., Král’Ová Trančíková A., Baranovičová E., Šofranko J., Hatok J., Kowtharapu B.S., Galanda T., Dobrota D., Kubatka P., Busselberg D., Murín R. (2022). Expression of 3-Methylcrotonyl-CoA Carboxylase in Brain Tumors and Capability to Catabolize Leucine by Human Neural Cancer Cells. Cancers, 14(3)

Gong, M., Yu, Y., Liang, L., Vuralli, D., Froehler, S., Kuehnen, P., ... & Raile, K. (2019). HDAC4 mutations cause diabetes and induce βcell FoxO1 nuclear exclusion. Molecular genetics & genomic medicine, 7(5), e602.

Gowda S.B.M., Banu A., Salim S., Peker K.A., Mohammad F.(2023). Serotonin distinctly controls behavioral states in restrained and freely moving Drosophila.iScience,26(1)

Grabe H.J., Assel H., Bahls T., Dörr M., Endlich K., Endlich N., Erdmann P., Ewert R., Felix S.B., Fiene B., Fischer T., Flessa S., Friedrich N., GadebuschBondio M., Salazar M.G., Hammer E., Haring R., Havemann C., Hecker M., Hoffmann W., Holtfreter B., Kacprowski T., Klein K., Kocher T., Kock H., Krafczyk J., Kuhn J., Langanke M., Lendeckel U., Lerch M.M., Lieb W., Lorbeer R., Mayerle J., Meissner K., zu Schwabedissen H.M., Nauck M., Ott K., Rathmann W., Rettig R., Richardt C., Saljé K., Schminke U., Schulz A., Schwab M., Siegmund W., Stracke S., Suhre K., Ueffing M., Ungerer S., Völker U., Völzke H., Wallaschofski H., Werner V., Zygmunt M.T., Kroemer H.K. (2014). Cohort profile: Greifswald approach to individualized medicine (GANI_MED). Journal of Translational Medicine, 12(1)

Graumann J., Scheltema R.A., Zhang Y., Cox J., Mann M. (2012). A framework for intelligent data acquisition and real-time database searching for shotgun proteomics. Molecular and Cellular Proteomics, 11(3)

Gritti, I., Basso, V., Rinchai, D., Corigliano, F., Pivetti, S., Gaviraghi, M., Rosano, D., Mazza, D., Barozzi, S., Roncador, M., Parmigiani, G., Legube, G., Parazzoli, D., Cittaro, D., Bedognetti, D., Mondino, A., Segalla, S., & Tonon, G. (2022). Loss of ribonuclease DIS3 hampers genome integrity in myeloma by disrupting DNA:RNA hybrid metabolism. The EMBO Journal, 41(22), e108040. https://doi.org/10.15252/ embj.2021108040

Guennoun A., Bougarn S., Khan T., Mackeh R., Rahman M., Al-Ali F., Ata M., Aamer W., Prosser D., Habib T., Chin-Smith E., Al-Darwish K., Zhang Q., Al-Shakaki A., Robay A., Crystal R.G., Fakhro K., Al-Naimi A., Al Maslamani E., Tuffaha A., Janahi I., Janahi M., Love D.R., Karim M.Y., Lo B., Hassan A., Adeli M., Marr N. (2021). A Novel STK4 Mutation Impairs T Cell Immunity Through Dysregulation of Cytokine-Induced Adhesion and Chemotaxis Genes. Journal of Clinical Immunology, 41(8)

Guerrouahen, B. S., Sidahmed, H., Al Sulaiti, A., Al Khulaifi, M., & Cugno, C. (2019). Enhancing Mesenchymal Stromal Cell Immunomodulation for Treating Conditions Influenced by the Immune System. Stem Cells International, 2019, 1–11. https://doi.org/10.1155/2019/7219297

Gupta, V., Salim, S., Hmila, I., Vaikath, N. N., Sudhakaran, I. P., Ghanem, S. S., Majbour, N. K., Abdulla, S. A., Emara, M. M., Abdesselem, H. B., Lukacsovich, T., Erskine, D., & El-Agnaf, O. M. A. (2020). Fibrillar form of α-synuclein-specific scFv antibody inhibits α-synuclein seeds induced aggregation and toxicity. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s 41598-020-65035-8

Gupta, V., Sudhakaran, I. P., Islam, Z., Vaikath, N. N., Hmila, I., Lukacsovich, T., Kolatkar, P. R., & ElAgnaf, O. M. A. (2020). Expression, purification and characterization of α-synuclein fibrillar specific scFv from inclusion bodies. PLOS ONE, 15(11), e0241773.

https://doi.org/10.1371/journal.pone.0241773

Guthrie, J. L., Strudwick, L., Roberts, B., Allen, M., McFadzen, J., Roth, D., Jorgensen, D., Rodrigues, M., Tang, P., Hanley, B., Johnston, J., Cook, V. J., & Gardy, J. L. (2020). Comparison of routine field epidemiology and whole genome sequencing to identify tuberculosis transmission in a remote setting. Epidemiology and Infection, 148, e15.

https://doi.org/10.1017/S0950268820000072

Guthrie, J. L., Strudwick, L., Roberts, B., Allen, M.,

McFadzen, J., Roth, D., Jorgensen, D., Rodrigues, M., Tang, P., Hanley, B., Johnston, J., Cook, V. J., & Gardy, J. L. (2019). Whole genome sequencing for improved understanding of Mycobacterium tuberculosis transmission in a remote circumpolar region. Epidemiology and Infection, 147, e188. https://doi.org/10.1017/S0950268819000670

Habbab, W., Aoudé, I., Palangi, F., Abdulla, S., & Ahmed, T. (2019). The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY5Y Neurons. International Journal of Molecular Sciences, 20(4), Article 4. https://doi.org/10.3390/ ijms20040844

Haidar Z., Temanni R., Chouery E., Jitesh P., Liu W., Al-Ali R., Wang E., Marincola F.M., Jalkh N., Haddad S., Haidar W., Chouchane L., Mégarbané A. (2017). Diagnosis implications of the whole genome sequencing in a large Lebanese family with hyaline fibromatosis syndrome. BMC Genetics, 18(1)

Halabi N.M., Martinez A., Al-Farsi H., Mery E., Puydenus L., Pujol P., Khalak H.G., McLurcan C., Ferron G., Querleu D., Al-Azwani I., Al-Dous E., Mohamoud Y.A., Malek J.A., Rafii A. (2016). Preferential Allele Expression Analysis Identifies Shared Germline and Somatic Driver Genes in Advanced Ovarian Cancer. PLoS Genetics, 12(1)

Halama A., Aye M.M., Dargham S.R., Kulinski M., Suhre K., Atkin S.L. (2019). Metabolomics of dynamic changes in insulin resistance before and after exercise in PCOS. Frontiers in Endocrinology, 10(FEB)

Halama A., Guerrouahen B.S., Pasquier J., Diboun I., Karoly E.D., Suhre K., Rafii A. (2015). Metabolic signatures differentiate ovarian from colon cancer cell lines. Journal of Translational Medicine, 13(1)

Halama A., Guerrouahen B.S., Pasquier J., Satheesh N.J., Suhre K., Rafii A. (2017). Nesting of colon and ovarian cancer cells in the endothelial niche is associated with alterations in glycan and lipid metabolism. Scientific Reports, 7

Halama A., Kahal H., Bhagwat A.M., Zierer J., Sathyapalan T., Graumann J., Suhre K., Atkin S.L. (2019). Metabolic and proteomic signatures of hypoglycaemia in type 2 diabetes. Diabetes, Obesity and Metabolism, 21(4)

Halama A., Kulinski M., Dib S.S., Zaghlool S.B.,

Siveen K.S., Iskandarani A., Zierer J., Prabhu K.S., Satheesh N.J., Bhagwat A.M., Uddin S., Kastenmüller G., Elemento O., Gross S.S., Suhre K. (2018). Accelerated lipid catabolism and autophagy are cancer survival mechanisms under inhibited glutaminolysis. Cancer Letters, 430

Halama A., Kulinski M., Kader S.A., Satheesh N.J., Abou-Samra A.B., Suhre K., Mohammad R.M. (2016). Measurement of 1,5-anhydroglucitol in blood and saliva: From non-targeted metabolomics to biochemical assay. Journal of Translational Medicine, 14(1)

Hamdi R., Ramotar D., Hayek S.S., Samara A., Mansour S.A., Haik Y.(2023). Nanosized La0.4Gd0.2Sr0.4MnO3 manganites: From magnetic refrigeration to hyperthermia method.Inorganic Chemistry Communications,150.

Hamdi Y., Ben Rekaya M., Jingxuan S., Nagara M., Messaoud O., Benammar Elgaaied A., Mrad R., Chouchane L., Boubaker M.S., Abdelhak S., Boussen H., Romdhane L. (2018). A genome wide SNP genotyping study in the Tunisian population: Specific reporting on a subset of common breast cancer risk loci. BMC Cancer, 18(1)

Hamdi Y., Jerbi M., Romdhane L., Ben Rekaya M., El Benna H., Chouchane L., Boubaker M.S., Abdelhak S., Yacoub-Youssef H. (2020). Genetic diversity and functional effect of common polymorphisms in genes involved in the first heterodimeric complex of the Nucleotide Excision Repair pathway. DNA Repair, 86

Hammad A.S., Machaca K. (2021). Store operated calcium entry in cell migration and cancer metastasis. Cells, 10(5)

Han S., Huang J., Foppiano F., Prehn C., Adamski J., Suhre K., Li Y., Matullo G., Schliess F., Gieger C., Peters A., Wang-Sattler R. (2022). TIGER: Technical variation elimination for metabolomics data using ensemble learning architecture. Briefings in Bioinformatics, 23(2)

Hansen M.E.B., Hunt S.C., Stone R.C., Horvath K., Herbig U., Ranciaro A., Hirbo J., Beggs W., Reiner A.P., Wilson J.G., Kimura M., Vivo I.D., Chen M.M., Kark J.D., Levy D., Nyambo T., Tishkoff S.A., Aviv A. (2016). Shorter telomere length in Europeans than in Africans due to polygenetic adaptation. Human Molecular Genetics, 25(11)

Haris, B., Mohammed, I., Al-Khawaga, S., & Hussain, K. (2022). Homozygous Insulin Promotor

120 121 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Gene Mutation Causing Permanent Neonatal Diabetes Mellitus and Childhood Onset Autoantibody Negative Diabetes in the Same Family. International Medical Case Reports Journal, Volume 15, 35–41. https://doi.org/10.2147/IMCRJ.S349424

Haris B, Saraswathi S, Al-Khawaga S, Hasnah R, Saeed A, Mundekkadan S, Hamed N, Afyouni H, Abdel-Karim T, Mohammed S, Khalifa A, AlMaadheed M, Al-Zyoud M, Shamekh A, Elawwa A, Al-Khalaf F, Boughorbel S, Petrovski G, Hussain K. Epidemiology, genetic landscape and classification of childhood diabetes mellitus in the State of Qatar.

J Diabetes Investig. 2021 Dec;12(12):2141-2148. doi: 10.1111/jdi.13610. Epub 2021 Jul 4. PMID: 34101350; PMCID: PMC8668069.

Haris, B., Stafrace, S., & Hussain, K. (2022). Type 2 Diabetes Mellitus in a 7 Year Old Girl. International Medical Case Reports Journal, Volume 15, 245–250. https://doi.org/10.2147/IMCRJ.S364424

Hariton, F., Xue, M., Rabbani, N., Fowler, M., & Thornalley, P. J. (2018). Sulforaphane Delays

Fibroblast Senescence by Curbing Cellular Glucose Uptake, Increased Glycolysis, and Oxidative Damage. Oxidative Medicine and Cellular Longevity, 2018, 5642148. https://doi.org/10.1155/2018/5642148

Hasan, M. R., Sundararaju, S., Tang, P., Tsui, K. M., Lopez, A. P., Janahi, M., ... & Tilley, P. (2020). A metagenomics-based diagnostic approach for central nervous system infections in hospital acute care setting. Scientific Reports, 10(1), 11194.

Hashem, S., Nisar, S., Bhat, A. A., Yadav, S. K., Azeem, M. W., Bagga, P., Fakhro, K., Reddy, R., Frenneaux, M. P., & Haris, M. (2020). Genetics of structural and functional brain changes in autism spectrum disorder. Translational Psychiatry, 10(1), 229. https://doi.org/10.1038/s41398-020-00921-3

Hassan, K., Sher, G., Hamid, E., Hazima, K. A., Abdelrahman, H., Al Mudahka, F., Al-Masri, W., Sankar, J., Daryaee, M., Shawish, R., Khan, M. A., & Nawaz, Z. (2020). Outcome associated with EPCAM founder mutation c.499dup in Qatar. European Journal of Medical Genetics, 63(10), 104023. https:// doi.org/10.1016/j.ejmg.2020.104023

Hassanien A., Saadaoui I., Schipper K., Al-Marri S., Dalgamouni T., Aouida M., Saeed S., Al-Jabri H.M.(2023). Genetic engineering to enhance microalgal-based produced water treatment with emphasis on CRISPR/Cas9: A review.Frontiers in Bioengineering and Biotechnology,10.

Hasstedt S.J., Xin Y., Mao R., Lewis T., Adams T.D., Hunt S.C. (2015). A copy number variant on chromosome 20q13.3 implicated in thinness and severe obesity. Journal of Obesity, 2015()

Hawari, I., Ericsson, J., Kabeer, B. S. A., Chaussabel, D., Alsulaiti, A., Sharari, S. A., Maccalli, C., Khan, F. A., & Hussain, K. (2022). Understanding the Mechanism of Diabetes Mellitus in a LRBA-Deficient Patient. Biology, 11(4), 612. https://doi.org/10.3390/ biology11040612

Hay, S. I., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., ... & Ciobanu, L. G. (2017). Global, regional, and national disabilityadjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet, 390(10100), 1260-1344.

Haycock, P. C., Burgess, S., Nounu, A., Zheng, J., Okoli, G. N., Bowden, J., ... & Försti, A. (2017). Association between telomere length and risk of cancer and non-neoplastic diseases: a Mendelian randomization study. JAMA oncology, 3(5), 636-651.

Haydon D.S., Pinder R.A., Grimshaw P.N., Robertson W.S.P., Holdback C.J.M.(2022). Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby.Frontiers in Sports and Active Living,4.

Hebbar, P., Abubaker, J. A., Abu-Farha, M., Alsmadi, O., Elkum, N., Alkayal, F., ... & Thanaraj, T. A. (2021). Genome-wide landscape establishes novel association signals for metabolic traits in the Arab population. Human genetics, 140, 505-528.

Hebbar, P., Abu-Farha, M., Alkayal, F., Nizam, R., Elkum, N., Melhem, M., John, S. E., Channanath, A., Abubaker, J., Bennakhi, A., Al-Ozairi, E., Tuomilehto, J., Pitkaniemi, J., Alsmadi, O., Al-Mulla, F., & Thanaraj, T. A. (2020). Genome-wide association study identifies novel risk variants from RPS6KA1, CADPS, VARS, and DHX58 for fasting plasma glucose in Arab population. Scientific Reports, 10(1), 152. https://doi.org/10.1038/s41598-019-57072-9

Hendaus, M. A. (2023). Anosmia (smell failure) and dysgeusia (taste distortion) in COVID-19: It is genetic. Journal of Biomolecular Structure and Dynamics, 41(7), 3162–3165. https://doi.org/10.1080/07391102.2 022.2039773

Hendi N.N., Chakhtoura M., Al-Sarraj Y., Basha D.S., Albagha O., Fuleihan G.E.-H., Nemer G.(2023). The Genetic Architecture of Vitamin D Deficiency among an Elderly Lebanese Middle Eastern Population: An Exome-Wide Association Study.Nutrients,15(14) Hendi N.N., Nemer G.(2023). Epigenetic regulation of vitamin D deficiency.Epigenomics,15(12)

Hertel J., König J., Homuth G., Van Der Auwera S., Wittfeld K., Pietzner M., Kacprowski T., Pfeiffer L., Kretschmer A., Waldenberger M., Kastenmüller G., Artati A., Suhre K., Adamski J., Langner S., Völker U., Völzke H., Nauck M., Friedrich N., Grabe H.J. (2017). Evidence for Stress-like Alterations in the HPA-Axis in Women Taking Oral Contraceptives. Scientific Reports, 7(1)

Hijazi, G., Dakroub, F., Khoueiry, P., El-Kurdi, A., Ezzeddine, A., Alkalamouni, H., Alansari, K., Althani, A. A., Mathew, S., AlKhatib, H. A., Yassine, H. M., & Zaraket, H. (2022). Viral metagenomics analysis of stool specimens from children with unresolved gastroenteritis in Qatar. Infection, Genetics and Evolution, 105, 105367. https://doi.org/10.1016/j. meegid.2022.105367

Hill, J., Shalaby, K. E., Bihaqi, S. W., Alansi, B. H., Barlock, B., Parang, K., Thompson, R., Ouararhni, K., & Zawia, N. H. (2023). Tolfenamic Acid Derivatives: A New Class of Transcriptional Modulators with Potential Therapeutic Applications for Alzheimer’s Disease and Related Disorders. International Journal of Molecular Sciences, 24(20), Article 20. https://doi.org/10.3390/ijms242015216

Hmila, I., Sudhakaran, I. P., Ghanem, S. S., Vaikath, N. N., Poggiolini, I., Abdesselem, H., & El-Agnaf, O. M. A. (2022). Inhibition of α-Synuclein SeedingDependent Aggregation by ssDNA Aptamers Specific to C-Terminally Truncated α-Synuclein Fibrils. ACS Chemical Neuroscience, 13(23), 3330–3341. https:// doi.org/10.1021/acschemneuro.2c00362

Hmila, I., Vaikath, N. N., Majbour, N. K., Erskine, D., Sudhakaran, I. P., Gupta, V., Ghanem, S. S., Islam, Z., Emara, M. M., Abdesselem, H. B., Kolatkar, P. R., Achappa, D. K., Vinardell, T., & El-Agnaf, O. M. A. (2022). Novel engineered nanobodies specific for N-terminal region of alpha-synuclein recognize Lewy-body pathology and inhibit in-vitro seeded aggregation and toxicity. The FEBS Journal, 289(15), 4657–4673. https://doi.org/10.1111/febs.16376

Hoarau-Véchot J., Blot-Dupin M., Pauly L., Touboul C., Rafii S., Rafii A., Pasquier J. (2022). Akt-Activated Endothelium Increases Cancer Cell Proliferation

and Resistance to Treatment in Ovarian Cancer Cell Organoids. International Journal of Molecular Sciences, 23(22)

Hoarau-Véchot J., Rafii A., Touboul C., Pasquier J. (2018). Halfway between 2D and animal models: Are 3D cultures the ideal tool to study cancermicroenvironment interactions?. International Journal of Molecular Sciences, 19(1)

Hodeify R., Nandakumar M., Own M., Courjaret R.J., Graumann J., Hubrack S.Z., MacHaca K. (2018). The CCT chaperonin is a novel regulator of Ca2+ signaling through modulation of Orai1 trafficking. Science Advances, 4(9)

Hong, N., Lei, Y., Chen, H., Chen, X., Tsui, K. M., Hu, D., Liao, W., Yan, L., Zhang, H., Zhao, R., Wu, G., Yu, N., & Deng, S. (2022). Genotyping and Drug Resistance Profile of Clinical Isolates of Candida albicans from Vulvovaginal Candidiasis in the Eastern China. Mycopathologia, 187(2–3), 217–224. https://doi.org/10.1007/s11046-022-00616-x

Huang J., Covic M., Huth C., Rommel M., Adam J., Zukunft S., Prehn C., Wang L., Nano J., Scheerer M.F., Neschen S., Kastenmüller G., Gieger C., Laxy M., Schliess F., Adamski J., Suhre K., De Angelis M.H., Peters A., Wang-Sattler R. (2021). Validation of candidate phospholipid biomarkers of chronic kidney disease in hyperglycemic individuals and their organ-specific exploration in leptin receptordeficient db/db mouse. Metabolites, 11(2)

Hunt S.C., Hansen M.E.B., Verhulst S., McQuillan M.A., Beggs W., Lai T.-P., Mokone G.G., Mpoloka S.W., Meskel D.W., Belay G., Nyambo T.B., Abnet C.C., Yeager M., Chanock S.J., Province M.A., Williams S.M., Aviv A., Tishkoff S.A. (2020). Genetics and geography of leukocyte telomere length in subSaharan Africans. Human Molecular Genetics, 29(18)

Hunt S.C., Kimura M., Hopkins P.N., Carr J.J., Heiss G., Province M.A., Aviv A. (2015). Leukocyte Telomere Length and Coronary Artery Calcium. American Journal of Cardiology, 116(2)

Hussain, S., Nawaz, S., Khan, I., Khan, N., Hussain, S., Ullah, I., Fakhro, K. A., & Ahmad, W. (2022). A novel homozygous variant in homologous recombination repair gene ZSWIM7 causes azoospermia in males and primary ovarian insufficiency in females. European Journal of Medical Genetics, 65(11), 104629. https://doi. org/10.1016/j.ejmg.2022.104629

Iannetta D., Marinari G., Murias J.M.(2023). Can the

122 123
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

heart rate response at the respiratory compensation point be used to retrieve the maximal metabolic steady state?. Journal of Sports Sciences.

Iannetta D., Rouleau C.R., Chirico D., Laddu D., Aggarwal S., Arena R., Murias J.M.(2023). A successful home-based cardiac rehabilitation program in the early phase of the COVID-19 pandemic.Progress in Cardiovascular Diseases.

Imon R.R., Samad A., Alam R., Alsaiari A.A., Talukder M.E.K., Almehmadi M., Ahammad F., Mohammad F.(2023). Computational formulation of a multiepitope vaccine unveils an exceptional prophylactic candidate against Merkel cell polyomavirus. Frontiers in Immunology,14.

Isa, N. M., Zulkifli, N. A., & Man, S. (2020). Islamic perspectives on CRISPR/Cas9-mediated human germline gene editing: a preliminary discussion. Science and engineering ethics, 26, 309-323.

Ishigaki, K., Sakaue, S., Terao, C., Luo, Y., Sonehara, K., Yamaguchi, K., ... & Raychaudhuri, S. (2022). Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. Nature genetics, 54(11), 1640-1651.

Islam Z., Aldous N., Choi S., Schmidt F., Mifsud B., Abdelalim E.M., Kolatkar P.R.(2022). Flavin Adenine Dinucleotide (FAD) and Pyridoxal 5?-Phosphate (PLP) Bind to Sox9 and Alter the Expression of Key Pancreatic Progenitor Transcription Factors. International Journal of Molecular Sciences,23(22)

Islam, Z., Aldous, N., Choi, S., Schmidt, F., Mifsud, B., Abdelalim, E. M., & Kolatkar, P. R. (2022). Flavin Adenine Dinucleotide (FAD) and Pyridoxal 5’-Phosphate (PLP) Bind to Sox9 and Alter the Expression of Key Pancreatic Progenitor Transcription Factors. International Journal of Molecular Sciences, 23(22), Article 22. https://doi. org/10.3390/ijms232214051

Islam, Z., Ali, M. H., Popelka, A., Mall, R., Ullah, E., Ponraj, J., & Kolatkar, P. R. (2021). Probing the fibrillation of lysozyme by nanoscale-infrared spectroscopy. Journal of Biomolecular Structure and Dynamics, 39(4), 1481–1490. https://doi.org/10.1080/ 07391102.2020.1734091

Islam, Z., Diane, A., Khattab, N., Dehbi, M., Thornalley, P., & Kolatkar, P. R. (2023). DNAJB3 attenuates ER stress through direct interaction

with AKT. PLOS ONE, 18(8), e0290340. https://doi. org/10.1371/journal.pone.0290340

Isnaldi, E., Ferraioli, D., Ferrando, L., Brohée, S., Ferrando, F., Fregatti, P., Bedognetti, D., Ballestrero, A., & Zoppoli, G. (2019). Correction to: Schlafen-11 expression is associated with immune signatures and basal-like phenotype in breast cancer. Breast Cancer Research and Treatment, 177(3), 773–773. https://doi.org/10.1007/s10549-019-05348-z

Isnaldi, E., Ferraioli, D., Ferrando, L., Brohée, S., Ferrando, F., Fregatti, P., ... & Zoppoli, G. (2019). Schlafen-11 expression is associated with immune signatures and basal-like phenotype in breast cancer. Breast Cancer Research and Treatment, 177, 335-343.

Israelsson, E., Chaussabel, D., Fischer, R. S. B., Moore, H. C., Robinson, D. A., Dunkle, J. W., Essigmann, H. T., Record, S., & Brown, E. L. (2020). Characterization of peripheral blood mononuclear cells gene expression profiles of pediatric Staphylococcus aureus persistent and non-carriers using a targeted assay. Microbes and Infection, 22(10), 540–549. https://doi.org/10.1016/j.

micinf.2020.07.006

Jabbour J., Rahme M., Mahfoud Z.R., El-Hajj Fuleihan G. (2022). Effect of high dose vitamin D supplementation on indices of sarcopenia and obesity assessed by DXA among older adults: A randomized controlled trial. Endocrine, 76(1)

Jacob A., Pasquier J., Carapito R., Auradé F., Molitor A., Froguel P., Fakhro K., Halabi N., Viot G., Bahram S., Rafii A. (2020). A de novo synonymous variant in EFTUD2 disrupts normal splicing and causes mandibulofacial dysostosis with microcephaly: Case report. BMC Medical Genetics, 21(1)

Jaganjac M., Almuraikhy S., Al-Khelaifi F., Al-Jaber M., Bashah M., Mazloum N.A., Zarkovic K., Zarkovic N., Waeg G., Kafienah W., Elrayess M.A. (2017). Combined metformin and insulin treatment reverses metabolically impaired omental adipogenesis and accumulation of 4-hydroxynonenal in obese diabetic patients. Redox Biology, 12

Jäger S., Wahl S., Kröger J., Sharma S., Hoffmann P., Floegel A., Pischon T., Prehn C., Adamski J., MüllerNurasyid M., Waldenberger M., Strauch K., Peters A., Gieger C., Suhre K., Grallert H., Boeing H., Schulze M.B., Meidtner K. (2017). Genetic variants including markers from the exome chip and metabolite traits

of type 2 diabetes. Scientific Reports, 7(1)

Jahagirdar, D., Walters, M. K., Novotney, A., Brewer, E. D., Frank, T. D., Carter, A., ... & Hargono, A. (2021). Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990–2019, for 204 countries and territories: the Global Burden of Diseases Study 2019. The Lancet HIV, 8(10), e633-e651.

Jamee, M., Azizi, G., Baris, S., Karakoc-Aydiner, E., Ozen, A., Kiliç, S. Ş., Kose, H., Chavoshzadeh, Z., Mahdaviani, S. A., Momen, T., Shamsian, B. S., Fallahi, M., Sharafian, S., Gülez, N., Aygun, A., Karaca, N. E., Kutukculer, N., Al Sukait, N., Al Farsi, T., … Mammadova, V. (2022). Clinical, immunological, molecular and therapeutic findings in monogenic immune dysregulation diseases: Middle East and North Africa registry. Clinical Immunology, 244, 109131. https://doi.org/10.1016/j.clim.2022.109131

Jamee, M., Moniri, S., Zaki-Dizaji, M., Olbrich, P., Yazdani, R., Jadidi-Niaragh, F., Aghamahdi, F., Abolhassani, H., Condliffe, A. M., Aghamohammadi, A., & Azizi, G. (2020). Clinical, Immunological, and Genetic Features in Patients with Activated PI3Kδ Syndrome (APDS): A Systematic Review. Clinical Reviews in Allergy & Immunology, 59(3), 323–333. https://doi.org/10.1007/s12016-019-08738-9

Jan Z., Ahmed W.S., Biswas K.H., Jithesh P.V.(2023). Identification of a potential DNA methyltransferase (DNMT) inhibitor. Journal of Biomolecular Structure and Dynamics.

Jan Z., El Assadi F., Abd-Alrazaq A., Jithesh P.V.(2023). Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review.Journal of Medical Internet Research,25.

Jan Z., Geethakumari A.M., Biswas K.H., Jithesh P.V.(2023). Protegrin-2, a potential inhibitor for targeting SARS-CoV-2 main protease Mpro. Computational and Structural Biotechnology Journal,21.

Jaremek M., Yu Z., Mangino M., Mittelstrass K., Prehn C., Singmann P., Xu T., Dahmen N., Weinberger K.M., Suhre K., Peters A., Döring A., Hauner H., Adamski J., Illig T., Spector T.D., WangSattler R. (2013). Alcohol-induced metabolomic differences in humans. Translational Psychiatry, 3

Jasek K., Kubatka P., Samec M., Liskova A., Smejkal K., Vybohova D., Bugos O., Biskupska-Bodova K., Bielik T., Zubor P., Danko J., Adamkov M., Kwon

T.K., Büsselberg D. (2019). DNA methylation status in cancer disease: Modulations by plant-derived natural compounds and dietary interventions. Biomolecules, 9(7)

Javed, H., Menon, S. A., Al-Mansoori, K. M., AlWandi, A., Majbour, N. K., Ardah, M. T., Varghese, S., Vaikath, N. N., Haque, M. E., Azzouz, M., & El-Agnaf, O. M. (2016). Development of Nonviral Vectors Targeting the Brain as a Therapeutic Approach For Parkinson’s Disease and Other Brain Disorders. Molecular Therapy: The Journal of the American Society of Gene Therapy, 24(4), 746–758. https://doi. org/10.1038/mt.2015.232

Javed S., Alam U., Malik R.A. (2015). Burning through the pain: Treatments for diabetic neuropathy. Diabetes, Obesity and Metabolism, 17(12)

Jiménez-Izquierdo R., Morrugares R., SuanesCobos L., Correa-Sáez A., Garrido-Rodríguez M., Cerero-Tejero L., Khan O.M., de la Luna S., Sancho R., Calzado M.A.(2023). FBXW7 tumor suppressor regulation by dualspecificity tyrosine-regulated kinase 2.Cell Death and Disease,14(3)

Jithesh P.V., Abuhaliqa M., Syed N., Ahmed I., El Anbari M., Bastaki K., Sherif S., Umlai U.-K., Jan Z., Gandhi G., Manickam C., Selvaraj S., George C., Bangarusamy D., Abdel-latif R., Al-Shafai M., TatariCalderone Z., Estivill X., Pirmohamed M., Abdel-latif R., Saqri T.A., Zaid T.A., Afifi N., Al-Ali R., Al-Khodor S., Al-Muftah W., Al-Sarraj Y., Albagha O., Alkhayat E., Alkuwari F., Almabrazi H., Alshafai M., Althani A., Alvi M., Badii R., Badji R., Chouchane L., Darwish D., El Khouly A., Ennaifar M., Estivill X., Fadl T., Fakhro K., Fethnou E., Hamza M., Ismail S.I., Jithesh P.V., Khatib M., Liu W., Lorenz S., Mbarek H., Mokrab Y., Pathare T., Poolat S., Qafoud F., Vempalli F.R., Saad C., Suhre K., Syed N., Tatari Z., Temanni R., Tomei S., Yasin H., The Qatar Genome Program Research Consortium (2022). A population study of clinically actionable genetic variation affecting drug response from the Middle East. npj Genomic Medicine, 7(1)

Jmel H., Romdhane L., Halima Y.B., Hechmi M., Naouali C., Dallali H., Hamdi Y., Shan J., Abid A., Jamoussi H., Trabelsi S., Chouchane L., Luiselli D., Abdelhak S., Kefi R. (2018). Pharmacogenetic landscape of metabolic syndrome components drug response in Tunisia and comparison with worldwide populations. PLoS ONE, 13(4)

Jourdan C., Linseisen J., Meisinger C., Petersen A.-K., Gieger C., Rawal R., Illig T., Heier M., Peters

124 125 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

A., Wallaschofski H., Nauck M., Kastenmüller G., Suhre K., Prehn C., Adamski J., Koenig W., Roden M., Wichmann H.-E., Völzke H. (2014). Associations between thyroid hormones and serum metabolite profiles in an euthyroid population. Metabolomics, 10(1)

Jourdan C., Petersen A.-K., Gieger C., Döring A., Illig T., Wang-Sattler R., Meisinger C., Peters A., Adamski J., Prehn C., Suhre K., Altmaier E., Kastenmüller G., Römisch-Margl W., Theis F.J., Krumsiek J., Wichmann H.-E., Linseisen J. (2012). Body fat free mass is associated with the serum metabolite profile in a population-based study. PLoS ONE, 7(6)

Jutley G.S., Sahota K., Sahbudin I., Filer A., Arayssi T., Young S.P., Raza K. (2021). Relationship Between Inflammation and Metabolism in Patients With Newly Presenting Rheumatoid Arthritis. Frontiers in Immunology, 12

Kadhi A., Hamie L., Tamer C., Nemer G., Kurban M.(2022). A novel pathogenic CDH3 variant underlying heredity hypotrichosis simplex detected by whole-exome sequencing (WES)-a case report. Cold Spring Harbor Molecular Case Studies,8(5)

Kafoud A., Salahuddin Z., Ibrahim R.S., Al-Janahi R., Mazurakova A., Kubatka P., Büsselberg D. (2023). Potential Treatment Options for Neuroblastoma with Polyphenols through Anti-Proliferative and Apoptotic Mechanisms. Biomolecules, 13(3)

Kahal H., Halama A., Aburima A., Bhagwat A.M., Butler A.E., Grauman J., Suhre K., Sathyapalan T., Atkin S.L. (2020). Effect of induced hypoglycemia on inflammation and oxidative stress in type 2 diabetes and control subjects. Scientific Reports, 10(1)

Kambouris, M., Thevenon, J., Soldatos, A., Cox, A., Stephen, J., Ben-Omran, T., Al-Sarraj, Y., Boulos, H., Bone, W., Mullikin, J. C., Program, N. C. S., MasurelPaulet, A., St-Onge, J., Dufford, Y., Chantegret, C., Thauvin-Robinet, C., Al-Alami, J., Faivre, L., Riviere, J. B., … El-Shanti, H. (2017). Biallelic SCN10A mutations in neuromuscular disease and epileptic encephalopathy. Annals of Clinical and Translational Neurology, 4(1), 26–35. https://doi.org/10.1002/ acn3.372

Kanai, M., Elzur, R., Zhou, W., Daly, M. J., Finucane, H. K., Zhou, W., Kanai, M., Wu, K.-H. H., Rasheed, H., Tsuo, K., Hirbo, J. B., Wang, Y., Bhattacharya, A., Zhao, H., Namba, S., Surakka, I., Wolford, B. N., Lo Faro, V., Lopera-Maya, E. A., … Neale, B. M. (2022).

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution. Cell Genomics, 2(12), 100210. https://doi.org/10.1016/j.xgen.2022.100210

Kao T., Labonne T., Niclis J.C., Chaurasia R., Lokmic Z., Qian E., Bruveris F.F., Howden S.E., Motazedian A., Schiesser J.V., Costa M., Sourris K., Ng E., Anderson D., Giudice A., Farlie P., Cheung M., Lamande S.R., Penington A.J., Parish C.L., Thomson L.H., Rafii A., Elliott D.A., Elefanty A.G., Stanley E.G. (2016). GAPTrap: A Simple Expression System for Pluripotent Stem Cells and Their Derivatives. Stem Cell Reports, 7(3)

Kapinova A., Kubatka P., Liskova A., Baranenko D., Kruzliak P., Matta M., Büsselberg D., Malicherova B., Zulli A., Kwon T.K., Jezkova E., Blahutova D., Zubor P., Danko J. (2019). Controlling metastatic cancer: the role of phytochemicals in cell signaling. Journal of Cancer Research and Clinical Oncology, Kapinova A., Mazurakova A., Halasova E., Dankova Z., Büsselberg D., Costigliola V., Golubnitschaja O., Kubatka P. (2023). Underexplored reciprocity between genome-wide methylation status and long non-coding RNA expression reflected in breast cancer research: potential impacts for the disease management in the framework of 3P medicine. EPMA Journal, 14(2)

Kapinova A., Stefanicka P., Kubatka P., Zubor P., Uramova S., Kello M., Mojzis J., Blahutova D., Qaradakhi T., Zulli A., Caprnda M., Danko J., Lasabova Z., Busselberg D., Kruzliak P. (2017). Are plant-based functional foods better choice against cancer than single phytochemicals? A critical review of current breast cancer research. Biomedicine and Pharmacotherapy, 96

Karam, M., Younis, I., Elareer, N. R., Nasser, S., & Abdelalim, E. M. (2020). Scalable Generation of Mesenchymal Stem Cells and Adipocytes from Human Pluripotent Stem Cells. Cells, 9(3), Article 3. https://doi.org/10.3390/cells9030710

Karedath T., Ahmed I., Al Ameri W., Al-Dasim F.M., Andrews S.S., Samuel S., Al-Azwani I.K., Mohamoud Y.A., Rafii A., Malek J.A. (2019). Silencing of ANKRD12 circRNA induces molecular and functional changes associated with invasive phenotypes. BMC Cancer, 19(1)

Kassebaum, N. J., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, J., Carter, A., ... & Biryukov, S. (2016). Global, regional, and national disability-adjusted

life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053), 1603-1658.

Kastenmüller G., Raffler J., Gieger C., Suhre K. (2015). Genetics of human metabolism: An update. Human Molecular Genetics, 24(R1)

Kaul R., Paul P., Kumar S., Büsselberg D., Dwivedi V.D., Chaari A. (2021). Promising antiviral activities of natural flavonoids against sars-cov-2 targets: Systematic review. International Journal of Molecular Sciences, 22(20)

Kaur H., Sehgal R., Goyal K., Makkar N., Yadav R., Bharti P.K., Singh N., Sarmah N.P., Mohapatra P.K., Mahanta J., Bansal D., Sultan A.A., Kanwar J.R. (2017). Genetic diversity of Plasmodium falciparum merozoite surface protein-1 (block 2), glutamaterich protein and sexual stage antigen Pfs25 from Chandigarh, North India. Tropical Medicine and International Health, 22(12)

Kaur H., Sehgal R., Kumar A., Sehgal A., Bansal D., Sultan A.A. (2018). Screening and identification of potential novel biomarker for diagnosis of complicated Plasmodium vivax malaria. Journal of Translational Medicine, 16(1)

Keyan K.S., Alanany R., Kohil A., Khan O.M.(2023). E3 Ubiquitin Ligase TRIP12 Controls Exit from Mitosis via Positive Regulation of MCL-1 in Response to Taxol.Cancers,15(2)

Khadir, A., Madhu, D., Kavalakatt, S., Cherian, P., Alarouj, M., Bennakhi, A., Abubaker, J., Tiss, A., & Elkum, N. (2020). PR3 levels are impaired in plasma and PBMCs from Arabs with cardiovascular diseases. PLOS ONE, 15(1), e0227606. https://doi. org/10.1371/journal.pone.0227606

Khadir, A., Tiss, A., Abubaker, J., Abu-Farha, M., Al-Khairi, I., Cherian, P., John, J., Kavalakatt, S., Warsame, S., Al-Madhoun, A., Al-Ghimlas, F., Elkum, N., Behbehani, K., Dermime, S., & Dehbi, M. (2015). MAP kinase phosphatase DUSP1 is overexpressed in obese humans and modulated by physical exercise. American Journal of Physiology-Endocrinology and Metabolism, 308(1), E71–E83. https://doi. org/10.1152/ajpendo.00577.2013

Khaja, A. S. S., Toor, S. M., El Salhat, H., Ali, B. R., & Elkord, E. (2017). Intratumoral FoxP3+Helios+ Regulatory T Cells Upregulating Immunosuppressive Molecules Are Expanded in Human Colorectal Cancer. Frontiers in Immunology, 8. https://doi.

org/10.3389/fimmu.2017.00619

Khaja, A. S. S., Toor, S. M., Salhat, H. E., Faour, I., Haq, N. U., Ali, B. R., & Elkord, E. (2017). Preferential accumulation of regulatory T cells with highly immunosuppressive characteristics in breast tumor microenvironment. Oncotarget, 8(20), 33159–33171 https://doi.org/10.18632/oncotarget.16565

Khalaf, S., Toor, S. M., Murshed, K., Kurer, M. A., Ahmed, A. A., Abu Nada, M., & Elkord, E. (2020). Differential expression of TIM-3 in circulation and tumor microenvironment of colorectal cancer patients. Clinical Immunology, 215, 108429. https:// doi.org/10.1016/j.clim.2020.108429

Khalifa, O., AL-Akl, N. S., Errafii, K., & Arredouani, A. (2022). Exendin-4 alleviates steatosis in an in vitro cell model by lowering FABP1 and FOXA1 expression via the Wnt/-catenin signaling pathway. Scientific Reports, 12(1), Article 1. https://doi.org/10.1038/ s41598-022-06143-5

Khalifa, O., H. Mroue, K., Mall, R., Ullah, E., S. AlAkl, N., & Arredouani, A. (2022). Investigation of the Effect of Exendin-4 on Oleic Acid-Induced Steatosis in HepG2 Cells Using Fourier Transform Infrared Spectroscopy. Biomedicines, 10(10), Article 10. https://doi.org/10.3390/biomedicines10102652

Khalifa, O., Ouararhni, K., Errafii, K., Alajez, N. M., & Arredouani, A. (2023). Targeted MicroRNA Profiling Reveals That Exendin-4 Modulates the Expression of Several MicroRNAs to Reduce Steatosis in HepG2 Cells. International Journal of Molecular Sciences, 24(14), Article 14. https://doi.org/10.3390/ ijms241411606

Khan A., Pasquier J., Ramachandran V., Ponirakis G., Petropoulos I.N., Chidiac O., Thomas B., Robay A., Jayyousi A., Al Suwaidi J., Rafii A., Menzies R.A., Talal T.K., Najafi-Shoushtari S.H., Khalil C.A., Malik R.A. (2022). Altered Circulating microRNAs in Patients with Diabetic Neuropathy and Corneal Nerve Loss: A Pilot Study. Journal of Clinical Medicine, 11(6)

Khan N.A., Asim M., Biswas K.H., Alansari A.N., Saman H., Sarwar M.Z., Osmonaliev K., Uddin S.(2023). Exosome nanovesicles as potential biomarkers and immune checkpoint signaling modulators in lung cancer microenvironment: recent advances and emerging concepts.Journal of Experimental and Clinical Cancer Research,42(1)

Khan N.A., Asim M., El-Menyar A., Biswas K.H., Rizoli S., Al-Thani H.(2022). The evolving role of

126 127
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

extracellular vesicles (exosomes) as biomarkers in traumatic brain injury: Clinical perspectives and therapeutic implications.Frontiers in Aging Neuroscience,14.

Khan T., Rahman M., Ahmed I., Al Ali F., Jithesh P.V., Marr N.(2022). Human leukocyte antigen class II gene diversity tunes antibody repertoires to common pathogens.Frontiers in Immunology,13.

Khan, T., Rahman, M., Al Ali, F., Huang, S. S. Y., Ata, M., Zhang, Q., Bastard, P., Liu, Z., Jouanguy, E., Beziat, V., Cobat, A., Nasrallah, G. K., Yassine, H. M., Smatti, M. K., Saeed, A., Vandernoot, I., Goffard, J.C., Smits, G., Migeotte, I., … Marr, N. (2021). Distinct antibody repertoires against endemic human coronaviruses in children and adults. JCI Insight. https://doi.org/10.1172/jci.insight.144499

Khandakji M., Habish H.H.A., Abdulla N.B.S., Kusasi S.A.A., Abdou N.M.G., Al-Mulla H.M.M.A., Al Sulaiman R.J.A.A., Jassoum S.M.B., Mifsud B.(2023). BRCA1-specific machine learning model predicts variant pathogenicity with high accuracy. Physiological Genomics,55(8)

Khandakji M.N., Mifsud B.(2022). Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants.Frontiers in Genetics,13.

Khanolkar, A., Wilks, J. D., Liu, G., Simpson, B. M., Caparelli, E. A., Kirschmann, D. A., Bergerson, J., & Fuleihan, R. L. (2020). A case of aberrant CD8 T cell–restricted IL-7 signaling with a Janus kinase 3 defect–associated atypical severe combined immunodeficiency. Immunologic Research, 68(1), 13–27. https://doi.org/10.1007/s12026-020-09123-x

Khourieh, J., Rao, G., Habib, T., Avery, D. T., LefèvreUtile, A., Chandesris, M.-O., Belkadi, A., Chrabieh, M., Alwaseem, H., Grandin, V., Sarrot-Reynauld, F., Sénéchal, A., Lortholary, O., Kong, X.-F., BoissonDupuis, S., Picard, C., Puel, A., Béziat, V., Zhang, Q., … Boisson, B. (2019). A deep intronic splice mutation of STAT3 underlies hyper IgE syndrome by negative dominance. Proceedings of the National Academy of Sciences, 116(33), 16463–16472. https://doi. org/10.1073/pnas.1901409116

Kim, H.-G., Rosenfeld, J. A., Scott, D. A., Bénédicte, G., Labonne, J. D., Brown, J., McGuire, M., Mahida, S., Naidu, S., Gutierrez, J., Lesca, G., des Portes, V., Bruel, A.-L., Sorlin, A., Xia, F., Capri, Y., Muller, E., McKnight, D., Torti, E., … Kim, C.-H. (2019). Disruption of PHF21A causes syndromic intellectual disability with craniofacial anomalies, epilepsy,

hypotonia, and neurobehavioral problems including autism. Molecular Autism, 10(1), 35. https://doi. org/10.1186/s13229-019-0286-0

Kirthi V., Reed K.I., Alattar K., Zuckerman B.P., Bunce C., Nderitu P., Alam U., Clarke B., Hau S., Al-Shibani F., Petropoulos I.N., Malik R., Pissas T., Bergeles C., Vas P., Hopkins D., Jackson T.L. (2023). Multimodal testing reveals subclinical neurovascular dysfunction in prediabetes, challenging the diagnostic threshold of diabetes. Diabetic Medicine, 40(3)

Klatt J., Dinh T.J., Schilling O., Zengerle R., Schmidt F., Hutzenlaub T., Paust N. (2021). Automation of peptide desalting for proteomic liquid chromatography - tandem mass spectrometry by centrifugal microfluidics. Lab on a Chip, 21(11)

Klein J., McLaughlin J., Renzi D. (2012). Improving arrival time identification in transient elastography. Physics in Medicine and Biology, 57(8)

Knacke H., Pietzner M., Do K.T., Römisch-Margl W., Kastenmüller G., Völker U., Völzke H., Krumsiek J., Artati A., Wallaschofski H., Nauck M., Suhre K., Adamski J., Friedrich N. (2016). Metabolic fingerprints of circulating IGF-1 and the IGF-1/ IGFBP-3 Ratio: A multifluid metabolomics study. Journal of Clinical Endocrinology and Metabolism, 101(12)

Kohailan M., Aamer W., Syed N., Padmajeya S., Hussein S., Sayed A., Janardhanan J., Palaniswamy S., El hajj N., Al-Shabeeb Akil A., Fakhro K.A.(2022). Patterns and distribution of de novo mutations in multiplex Middle Eastern families.Journal of Human Genetics,67(10)

Kohil A., Amir S.S., Behrens A., Khan O.M.(2023). A small Rho GTPase RAB25 with a potential role in chemotherapy resistance in pancreatic cancer. Cancer Biomarkers,36(2).

Koklesova L., Jakubikova J., Cholujova D., Samec M., Mazurakova A., Šudomová M., Pec M., Hassan S.T.S., Biringer K., Büsselberg D., Hurtova T., Golubnitschaja O., Kubatka P. (2023). Phytochemicalbased nanodrugs going beyond the state-of-the-art in cancer management—Targeting cancer stem cells in the framework of predictive, preventive, personalized medicine. Frontiers in Pharmacology, 14

Koklesova L., Liskova A., Samec M., Buhrmann C., Samuel S.M., Varghese E., Ashrafizadeh M., Najafi M., Shakibaei M., Büsselberg D., Giordano F.A., Golubnitschaja O., Kubatka P. (2020). Carotenoids in cancer apoptosis—the road from bench to bedside

and back. Cancers, 12(9)

Koklesova L., Liskova A., Samec M., Qaradakhi T., Zulli A., Smejkal K., Kajo K., Jakubikova J., Behzadi P., Pec M., Zubor P., Biringer K., Kwon T.K., Büsselberg D., Sarria G.R., Giordano F.A., Golubnitschaja O., Kubatka P. (2020). Genoprotective activities of plant natural substances in cancer and chemopreventive strategies in the context of 3P medicine. EPMA Journal, 11(2)

Koklesova L., Liskova A., Samec M., Zhai K., Abotaleb M., Ashrafizadeh M., Brockmueller A., Shakibaei M., Biringer K., Bugos O., Najafi M., Golubnitschaja O., Büsselberg D., Kubatka P. (2020). Carotenoids in cancer metastasis—status Quo and outlook. Biomolecules, 10(12)

Koklesova L., Liskova A., Samec M., Zhai K., AlIshaq R.K., Bugos O., Šudomová M., Biringer K., Pec M., Adamkov M., Hassan S.T.S., Saso L., Giordano F.A., Büsselberg D., Kubatka P., Golubnitschaja O. (2021). Protective effects of flavonoids against mitochondriopathies and associated pathologies: Focus on the predictive approach and personalized prevention. International Journal of Molecular Sciences, 22(16)

Koklesova L., Mazurakova A., Samec M., Biringer K., Samuel S.M., Büsselberg D., Kubatka P., Golubnitschaja O. (2021). Homocysteine metabolism as the target for predictive medical approach, disease prevention, prognosis, and treatments tailored to the person. EPMA Journal, 12(4)

Koklesova L., Samec M., Liskova A., Zhai K., Büsselberg D., Giordano F.A., Kubatka P., Golunitschaja O. (2021). Mitochondrial impairments in aetiopathology of multifactorial diseases: common origin but individual outcomes in context of 3P medicine. EPMA Journal, 12(1)

Kong, X.-F., Worley, L., Rinchai, D., Bondet, V., Jithesh, P. V., Goulet, M., Nonnotte, E., Rebillat, A. S., Conte, M., Mircher, C., Gürtler, N., Liu, L., Migaud, M., Elanbari, M., Habib, T., Ma, C. S., Bustamante, J., Abel, L., Ravel, A., … Puel, A. (2020). Three Copies of Four Interferon Receptor Genes Underlie a Mild Type I Interferonopathy in Down Syndrome. Journal of Clinical Immunology, 40(6), 807–819. https://doi. org/10.1007/s10875-020-00803-9

Krijgsman, D., Roelands, J., Andersen, M. N., Wieringa, C. H. L. A., Tollenaar, R. A. E. M., Hendrickx, W., Bedognetti, D., Hokland, M., & Kuppen, P. J. K. (2020). Expression of NK cell receptor ligands in primary colorectal cancer tissue in relation to the phenotype of circulating

NK- and NKT cells, and clinical outcome. Molecular Immunology, 128, 205–218. https://doi. org/10.1016/j.molimm.2020.10.012

Krug S., Kastenmüller G., Stückler F., Rist M.J., Skurk T., Sailer M., Raffler J., Römisch-Margl W., Adamski J., Prehn C., Frank T., Engel K.-H., Hofmann T., Luy B., Zimmermann R., Moritz F., Schmitt-Kopplin P., Krumsiek J., Kremer W., Huber F., Oeh U., Theis F.J., Szymczak W., Hauner H., Suhre K., Daniel H. (2012). The dynamic range of the human metabolome revealed by challenges. FASEB Journal, 26(6)

Krumsiek J., Mittelstrass K., Do K.T., Stückler F., Ried J., Adamski J., Peters A., Illig T., Kronenberg F., Friedrich N., Nauck M., Pietzner M., MookKanamori D.O., Suhre K., Gieger C., Grallert H., Theis F.J., Kastenmüller G. (2015). Genderspecific pathway differences in the human serum metabolome. Metabolomics, 11(6)

Krumsiek J., Suhre K., Evans A.M., Mitchell M.W., Mohney R.P., Milburn M.V., Wägele B., RömischMargl W., Illig T., Adamski J., Gieger C., Theis F.J., Kastenmüller G. (2012). Mining the Unknown: A Systems Approach to Metabolite Identification Combining Genetic and Metabolic Information. PLoS Genetics, 8(10)

Krumsiek J., Suhre K., Illig T., Adamski J., Theis F.J. (2012). Bayesian independent component analysis recovers pathway signatures from blood metabolomics data. Journal of Proteome Research, 11(8)

Kubatka P., Kello M., Kajo K., Kruzliak P., Výbohová D., Mojžiš J., Adamkov M., Fialová S., Veizerová L., Zulli A., Péč M., Statelová D., Grančai D., Büsselberg D. (2017). Oregano demonstrates distinct tumoursuppressive effects in the breast carcinoma model. European Journal of Nutrition, 56(3)

Kubatka P., Kello M., Kajo K., Samec M., Jasek K., Vybohova D., Uramova S., Liskova A., Sadlonova V., Koklesova L., Murin R., Adamkov M., Smejkal K., Svajdlenka E., Solar P., Samuel S.M., Kassayova M., Kwon T.K., Zubor P., Pec M., Danko J., Büsselberg D., Mojzis J. (2020). Chemopreventive and Therapeutic Efficacy of Cinnamomum zeylanicum L. Bark in experimental breast carcinoma: Mechanistic in vivo and in vitro analyses. Molecules, 25(6)

Kubatka P., Kello M., Kajo K., Samec M., Liskova A., Jasek K., Koklesova L., Kuruc T., Adamkov M., Smejkal K., Svajdlenka E., Solar P., Pec M., Büsselberg D., Sadlonova V., Mojzis J. (2021). Rhus coriaria l. (sumac) demonstrates oncostatic activity in the therapeutic and preventive model of breast

128 129 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

carcinoma. International Journal of Molecular Sciences, 22(1)

Kubatka P., Mazurakova A., Koklesova L., Samec M., Sokol J., Samuel S.M., Kudela E., Biringer K., Bugos O., Pec M., Link B., Adamkov M., Smejkal K., Büsselberg D., Golubnitschaja O. (2022).

Antithrombotic and antiplatelet effects of plantderived compounds: a great utility potential for primary, secondary, and tertiary care in the framework of 3P medicine. EPMA Journal, 13(3)

Kubatka P., Mazurakova A., Samec M., Koklesova L., Zhai K., AL-Ishaq R., Kajo K., Biringer K., Vybohova D., Brockmueller A., Pec M., Shakibaei M., Giordano F.A., Büsselberg D., Golubnitschaja O. (2021).

Flavonoids against non-physiologic inflammation attributed to cancer initiation, development, and progression—3PM pathways. EPMA Journal, 12(4)

Kubatka P., Uramova S., Kello M., Kajo K., Samec M., Jasek K., Vybohova D., Liskova A., Mojzis J., Adamkov M., Zubor P., Smejkal K., Svajdlenka E., Solar P., Samuel S.M., Zulli A., Kassayova M., Lasabova Z., Kwon T.K., Pec M., Danko J., Büsselberg D. (2019).

Anticancer activities of thymus vulgaris L. In experimental breast carcinoma in vivo and in vitro. International Journal of Molecular Sciences, 20(7)

Kudela E., Liskova A., Samec M., Koklesova L., Holubekova V., Rokos T., Kozubik E., Pribulova T., Zhai K., Busselberg D., Kubatka P., Biringer K. (2021). The interplay between the vaginal microbiome and innate immunity in the focus of predictive, preventive, and personalized medical approach to combat HPV-induced cervical cancer. EPMA Journal, 12(2)

Kumar, M., Garand, M., & Al Khodor, S. (2019). Integrating omics for a better understanding of Inflammatory Bowel Disease: A step towards personalized medicine. Journal of Translational Medicine, 17(1), 419. https://doi.org/10.1186/s12967019-02174-1

Kumar, M., Saadaoui, M., Elhag, D.A. et al. Omouma: a prospective mother and child cohort aiming to identify early biomarkers of pregnancy complications in women living in Qatar. BMC Pregnancy Childbirth 21, 570 (2021). https://doi.org/10.1186/ s12884-021-04029-4

Kumar P., Al-Shafai M., Al Muftah W.A., Chalhoub N., Elsaid M.F., Aleem A.A., Suhre K. (2014). Evaluation of SNP calling using single and multiple-sample calling algorithms by validation against array base genotyping and Mendelian inheritance. BMC Research Notes, 7(1)

Kumar P., Halama A., Hayat S., Billing A.M., Gupta M., Yousri N.A., Smith G.M., Suhre K. (2015). MetaRNA-Seq: An interactive tool to browse and annotate metadata from RNA-Seq studies. BioMed Research International, 2015

Kuttikrishnan, S., Bhat, A. A., Mateo, J. M., Ahmad, F., Alali, F. Q., El-Elimat, T., Oberlies, N. H., Pearce, C. J., & Uddin, S. (2022). Anticancer activity of Neosetophomone B by targeting AKT/SKP2/MTH1 axis in leukemic cells. Biochemical and Biophysical Research Communications, 601, 59–64. https://doi. org/10.1016/j.bbrc.2022.02.071

Kuttikrishnan, S., Masoodi, T., Sher, G., Bhat, A. A., Patil, K., El-Elimat, T., Oberlies, N. H., Pearce, C. J., Haris, M., Ahmad, A., Alali, F. Q., & Uddin, S. (2022). Bioinformatics Analysis Reveals FOXM1/ BUB1B Signaling Pathway as a Key Target of Neosetophomone B in Human Leukemic Cells: A Gene Network-Based Microarray Analysis. Frontiers in Oncology, 12, 929996. https://doi.org/10.3389/ fonc.2022.929996

Labonne, J. D. J., Driessen, T. M., Harris, M. E., Kong, I.-K., Brakta, S., Theisen, J., Sangare, M., Layman, L. C., Kim, C.-H., Lim, J., & Kim, H.-G. (2020). Comparative Genomic Mapping Implicates LRRK2 for Intellectual Disability and Autism at 12q12, and HDHD1, as Well as PNPLA4, for X-Linked Intellectual Disability at Xp22.31. Journal of Clinical Medicine, 9(1), Article 1. https://doi.org/10.3390/ jcm9010274

Lamina C., Friedel S., Coassin S., Rueedi R., Yousri N.A., Seppälä I., Gieger C., Schönherr S., Forer L., Erhart G., Kollerits B., Marques-Vidal P., Ried J., Waeber G., Bergmann S., Dähnhardt D., Stöckl A., Kiechl S., Raitakari O.T., Kähönen M., Willeit J., Kedenko L., Paulweber B., Peters A., Meitinger T., Strauch K., Lehtimäki T., Hunt S.C., Vollenweider P., Kronenberg F., KORA Study Group (2016). A genomewide association meta-analysis on apolipoprotein A-IV concentrations. Human Molecular Genetics, 25(16)

Lazarus, J. V., Mark, H. E., Anstee, Q. M., Arab, J. P., Batterham, R. L., Castera, L., ... & Zelber-Sagi, S. (2022). Advancing the global public health agenda for NAFLD: a consensus statement. Nature Reviews Gastroenterology & Hepatology, 19(1), 60-78.

Leber, M. F., Hoyler, B., Prien, S., Neault, S., Engeland, C. E., Förster, J. M., Bossow, S., Springfeld, C., von Kalle, C., Jäger, D., Bell, J. C., & Ungerechts, G. (2020). Sequencing of serially passaged measles virus affirms its genomic stability and reveals a nonrandom distribution of consensus

mutations. Journal of General Virology, 101(4), 399–409. https://doi.org/10.1099/jgv.0.001395

Lee H.-S., Xu T., Lee Y., Kim N.-H., Kim Y.-J., Kim J.-M., Cho S.Y., Kim K.-Y., Nam M., Adamski J., Suhre K., Rathmann W., Peters A., Wang-Sattler R., Han B.-G., Kim B.-J. (2016). Identification of putative biomarkers for type 2 diabetes using metabolomics in the Korea Association REsource (KARE) cohort. Metabolomics, 12(12)

Lee, Y.-R., Kim, S. H., Ben-Mahmoud, A., Kim, O.-H., Choi, T.-I., Lee, K.-H., Ku, B., Eum, J., Kee, Y., Lee, S., Cha, J., Won, D., Lee, S.-T., Choi, J. R., Lee, J. S., Kim, H. D., Kim, H.-G., Bonkowsky, J. L., Kang, H.-C., & Kim, C.-H. (2021). Eif2b3 mutants recapitulate phenotypes of vanishing white matter disease and validate novel disease alleles in zebrafish. Human Molecular Genetics, 30(5), 331–342. https://doi. org/10.1093/hmg/ddab033

Lee-Kubli C., Marshall A.G., Malik R.A., Calcutt N.A. (2018). The H-Reflex as a Biomarker for Spinal Disinhibition in Painful Diabetic Neuropathy. Current Diabetes Reports, 18(1)

Leong W.B., Jadhakhan F., Taheri S., Thomas G.N., Adab P. (2016). The Association between obstructive sleep apnea on diabetic kidney disease: A systematic review and meta-analysis. Sleep, 39(2)

Lotfi Al-Farsi, H., Al-Azwani, I., Malek, J. A., Chen, K. S., Menezes, K., Rodgers, J. B., O’Hara, D. M., Tran, N., Fujisawa, K., Ishikura, S., Khodaei, S., Chau, H., Cranston, A., Kapadia, M., Pawar, G., Ping, S., Krizus, A., Lacoste, A., Spangler, S., Visanji, N. P., Marras, C., Majbour, N. K., … Kalia, L. V. (2021). Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopaminemediated motor impairment in C. elegans. Molecular Neurodegeneration, 16(1), 77. https://doi. org/10.1186/s13024-021-00497-6

Li C., Wei J.-A., Wang D., Luo Z., Pang C., Chen K., Duan J., Chen B., Zhou L., Tissir F., Shi L., So K.-F., Zhang L., Qu Y.(2022). Planar cell polarity protein Celsr2 maintains structural and functional integrity of adult cortical synapses.Progress in Neurobiology,219.

Li, J., Ritelli, M., Ma, C. S., Rao, G., Habib, T., Corvilain, E., Bougarn, S., Cypowyj, S., Grodecká, L., Lévy, R., Béziat, V., Shang, L., Payne, K., Avery, D. T., Migaud, M., Boucherit, S., Boughorbel, S., Guennoun, A., Chrabieh, M., … Puel, A. (2019). Chronic mucocutaneous candidiasis and connective

tissue disorder in humans with impaired JNK1dependent responses to IL-17A/F and TGF-β Science Immunology, 4(41), eaax7965. https://doi. org/10.1126/sciimmunol.aax7965

Li P., Shan J.-X., Chen X.-H., Zhang D., Su L.-P., Huang X.-Y., Yu B.-Q., Zhi Q.-M., Li C.-L., Wang Y.Q., Tomei S., Cai Q., Ji J., Li J.-F., Chouchane L., Yu Y.-Y., Sun F.-Z., Xu Z.-H., Liu B.-Y., Zhu Z.-G. (2015). Epigenetic silencing of microRNA-149 in cancerassociated fibroblasts mediates prostaglandin E2/interleukin-6 signaling in the tumor microenvironment. Cell Research, 25(5)

Liang J., Le T.H., Edwards D.R.V., Tayo B.O., Gaulton K.J., Smith J.A., Lu Y., Jensen R.A., Chen G., Yanek L.R., Schwander K., Tajuddin S.M., Sofer T., Kim W., Kayima J., McKenzie C.A., Fox E., Nalls M.A., Young J.H., Sun Y.V., Lane J.M., Cechova S., Zhou J., Tang H., Fornage M., Musani S.K., Wang H., Lee J., Adeyemo A., Dreisbach A.W., Forrester T., Chu P.-L., Cappola A., Evans M.K., Morrison A.C., Martin L.W., Wiggins K.L., Hui Q., Zhao W., Jackson R.D., Ware E.B., Faul J.D., Reiner A.P., Bray M., Denny J.C., Mosley T.H., Palmas W., Guo X., Papanicolaou G.J., Penman A.D., Polak J.F., Rice K., Taylor K.D., Boerwinkle E., Bottinger E.P., Liu K., Risch N., Hunt S.C., Kooperberg C., Zonderman A.B., Laurie C.C., Becker D.M., Cai J., Loos R.J.F., Psaty B.M., Weir D.R., Kardia S.L.R., Arnett D.K., Won S., Edwards T.L., Redline S., Cooper R.S., Rao D.C., Rotter J.I., Rotimi C., Levy D., Chakravarti A., Zhu X., Franceschini N. (2017). Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genetics, 13(5)

Liberski A.R., Al-Noubi M.N., Rahman Z.H., Halabi N.M., Dib S.S., Al-Mismar R., Billing A.M., Krishnankutty R., Ahmad F.S., Raynaud C.M., Rafii A., Engholm-Keller K., Graumann J. (2013). Adaptation of a commonly used, chemically defined medium for human embryonic stem cells to stable isotope labeling with amino acids in cell culture. Journal of Proteome Research, 12(7)

Liebsch C., Pitchika V., Pink C., Samietz S., Kastenmüller G., Artati A., Suhre K., Adamski J., Nauck M., Völzke H., Friedrich N., Kocher T., Holtfreter B., Pietzner M. (2019). The Saliva Metabolome in Association to Oral Health Status. Journal of Dental Research, 98(6)

Lin S.-J., Vona B., Porter H.M., Izadi M., Huang K., Lacassie Y., Rosenfeld J.A., Khan S., Petree C., Ali T.A., Muhammad N., Khan S.A., Muhammad N., Liu P., Haymon M.-L., Rüschendorf F., Kong I.-K., Schnapp L., Shur N., Chorich L., Layman L., Haaf

130 131
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

T., Pourkarimi E., Kim H.-G., Varshney G.K.(2022). Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function.Human Mutation,43(10)

Lis R., Karrasch C.C., Poulos M.G., Kunar B., Redmond D., Duran J.G.B., Badwe C.R., Schachterle W., Ginsberg M., Xiang J., Tabrizi A.R., Shido K., Rosenwaks Z., Elemento O., Speck N.A., Butler J.M., Scandura J.M., Rafii S. (2017). Conversion of adult endothelium to immunocompetent haematopoietic stem cells. Nature, 545(7655)

Lis R., Touboul C., Halabi N.M., Madduri A.S., Querleu D., Mezey J., Malek J.A., Suhre K., Rafii A. (2014). Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile. Journal of Translational Medicine, 12(1)

Liskova A., Koklesova L., Samec M., Abdellatif B., Zhai K., Siddiqui M., Šudomová M., Hassan S.T.S., Kudela E., Biringer K., Giordano F.A., Büsselberg D., Golubnitschaja O., Kubatka P. (2021). Targeting phytoprotection in the COVID-19-induced lung damage and associated systemic effects—the evidence-based 3PM proposition to mitigate individual risks. EPMA Journal, 12(3)

Liskova A., Koklesova L., Samec M., Varghese E., Abotaleb M., Samuel S.M., Smejkal K., Biringer K., Petras M., Blahutova D., Bugos O., Pec M., Adamkov M., Büsselberg D., Ciccocioppo R., Adamek M., Rodrigo L., Caprnda M., Kruzliak P., Kubatka P. (2020). Implications of flavonoids as potential modulators of cancer neovascularity. Journal of Cancer Research and Clinical Oncology, 146(12)

Liskova A., Samec M., Koklesova L., Brockmueller A., Zhai K., Abdellatif B., Siddiqui M., Biringer K., Kudela E., Pec M., Gadanec L.K., Šudomová M., Hassan S.T.S., Zulli A., Shakibaei M., Giordano F.A., Büsselberg D., Golubnitschaja O., Kubatka P. (2021). Flavonoids as an effective sensitizer for anti-cancer therapy: insights into multi-faceted mechanisms and applicability towards individualized patient profiles. EPMA Journal, 12(2)

Liskova A., Stefanicka P., Samec M., Smejkal K., Zubor P., Bielik T., Biskupska-Bodova K., Kwon T.K., Danko J., Büsselberg D., Adamek M., Rodrigo L., Kruzliak P., Shleikin A., Kubatka P. (2020). Dietary phytochemicals as the potential protectors against carcinogenesis and their role in cancer chemoprevention. Clinical and Experimental

Medicine, 20(2)

Liu A., Yu L., Li X., Zhang K., Zhang W., So K.-F., Tissir F., Qu Y., Zhou L.(2023). Celsr2-mediated morphological polarization and functional phenotype of reactive astrocytes in neural repair.GLIA,71(8)

Liu Q., Tomei S., Ascierto M.L., De Giorgi V., Bedognetti D., Dai C., Uccellini L., Spivey T., Pos Z., Thomas J., Reinboth J., Murtas D., Zhang Q., Chouchane L., Weiss G.R., Slingluff C.L., Jr., Lee P.P., Rosenberg S.A., Alter H., Yao K., Wang E., Marincola F.M. (2014). Melanoma NOS1 expression promotes dysfunctional IFN signaling. Journal of Clinical Investigation, 124(5)

Lloria-Varella J., Koral J., Ravel A., Féasson L., Murias J.M., Busso T.(2023). Neuromuscular and autonomic function is fully recovered within 24 h following a sprint interval training session.European Journal of Applied Physiology,123(10)

Lock M., Yousef I., McFadden B., Mansoor H., Townsend N.(2023). Cardiorespiratory Fitness and Performance Adaptations to High-Intensity Interval Training: Are There Differences Between Men and Women? A Systematic Review with Meta-Analyses. Sports Medicine.

Lone, S. N., Nisar, S., Masoodi, T., Singh, M., Rizwan, A., Hashem, S., El-Rifai, W., Bedognetti, D., Batra, S. K., Haris, M., Bhat, A. A., & Macha, M. A. (2022). Liquid biopsy: A step closer to transform diagnosis, prognosis and future of cancer treatments. Molecular Cancer, 21(1), 79. https://doi.org/10.1186/

s12943-022-01543-7

Louca P., Nogal A., Moskal A., Goulding N.J., Shipley M.J., Alkis T., Lindbohm J.V., Hu J., Kifer D., Wang N., Chawes B., Rexrode K.M., Ben-Shlomo Y., Kivimaki M., Murphy R.A., Yu B., Gunter M.J., Suhre K., Lawlor D.A., Mangino M., Menni C. (2022). Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies. Metabolites, 12(7)

Louca P., Tran T.Q.B., Toit C.D., Christofidou P., Spector T.D., Mangino M., Suhre K., Padmanabhan S., Menni C. (2022). Machine learning integration of multimodal data identifies key features of blood pressure regulation. eBioMedicine, 84

Lukaszewski, R. A., Jones, H. E., Gersuk, V. H., Russell, P., Simpson, A., Brealey, D., Walker, J., Thomas, M., Whitehouse, T., Ostermann, M., Koch, A., Zacharowski, K., Kruhoffer, M., Chaussabel,

D., & Singer, M. (2022). Presymptomatic diagnosis of postoperative infection and sepsis using gene expression signatures. Intensive Care Medicine, 48(9), 1133–1143. https://doi.org/10.1007/s00134022-06769-z

Ma C., Sastry K.S., Flore M., Gehani S., Al-Bozom I., Feng Y., Serpedin E., Chouchane L., Chen Y., Huang Y. (2016). CrossLink: A novel method for crosscondition classification of cancer subtypes. BMC Genomics, 17

Mabey J.G., Chaston J.M., Castro D.G., Adams T.D., Hunt S.C., Davidson L.E. (2020). Gut microbiota differs a decade after bariatric surgery relative to a nonsurgical comparison group. Surgery for Obesity and Related Diseases, 16(9)

Madrigal, I., Rabionet, R., Alvarez-Mora, M. I., Sanchez, A., Rodríguez-Revenga, L., Estivill, X., & Mila, M. (2019). Spectrum of clinical heterogeneity of β-tubulin TUBB5 gene mutations. Gene, 695, 12-17.

Magdeldin, S., Yamamoto, T., Tooyama, I., & Abdelalim, E. M. (2014). New Proteomic Insights on the Role of NPR-A in Regulating Self-Renewal of Embryonic Stem Cells. Stem Cell Reviews and Reports, 10(4), 561–572. https://doi.org/10.1007/ s12015-014-9517-0

Mahfoudh W., Bouaouina N., Ahmed S.B., Gabbouj S., Shan J., Mathew R., Uhrhammer N., Bignon Y.-J., Troudi W., Ammar Elgaaied A.B., Hassen E., Chouchane L. (2012). Hereditary breast cancer in Middle Eastern and North African (MENA) populations: Identification of novel, recurrent and founder BRCA1 mutations in the Tunisian population. Molecular Biology Reports, 39(2)

Mahfoud Z.R., Gkantaras I., Topping A.E., Cannaby A.M., Foreman B., Watson R., Thompson D.R., Gray R. (2018). The educational preparation of nurses in a developing economy and patient mortality. International Nursing Review, 65(3)

Mahjoubin-Tehran M., De Vincentis A., Mikhailidis D.P., Atkin S.L., Mantzoros C.S., Jamialahmadi T., Sahebkar A. (2021). Non-alcoholic fatty liver disease and steatohepatitis: State of the art on effective therapeutics based on the gold standard method for diagnosis. Molecular Metabolism, 50

Majbour, N. K., Aasly, J. O., Hustad, E., Thomas, M. A., Vaikath, N. N., Elkum, N., van de Berg, W. D. J., Tokuda, T., Mollenhauer, B., Berendse, H. W., & El-Agnaf, O. M. A. (2020). CSF total and oligomeric α-Synuclein along with TNF-α as risk biomarkers for Parkinson’s disease: A study in LRRK2 mutation carriers. Translational Neurodegeneration, 9(1), 15. https://doi.org/10.1186/s40035-020-00192-4

Majbour, N. K., Abdi, I. Y., Dakna, M., Wicke, T., Lang, E., Ali Moussa, H. Y., Thomas, M. A., Trenkwalder, C., Safieh-Garabedian, B., Tokuda, T., Mollenhauer, B., & El-Agnaf, O. (2021). Cerebrospinal α-Synuclein Oligomers Reflect Disease Motor Severity in DeNoPa Longitudinal Cohort. Movement Disorders: Official Journal of the Movement Disorder Society, 36(9), 2048–2056. https://doi.org/10.1002/mds.28611

Majbour, N., Aasly, J., Abdi, I., Ghanem, S., Erskine, D., Berg, W. van de, & El-Agnaf, O. (2022). DiseaseAssociated α-Synuclein Aggregates as Biomarkers of Parkinson Disease Clinical Stage. Neurology. https://doi.org/10.1212/WNL.0000000000201199

Majbour, N. K., Chiasserini, D., Vaikath, N. N., Eusebi, P., Tokuda, T., van de Berg, W., Parnetti, L., Calabresi, P., & El-Agnaf, O. M. A. (2017). Increased levels of CSF total but not oligomeric or phosphorylated forms of alpha-synuclein in patients diagnosed with probable Alzheimer’s disease. Scientific Reports, 7(1), Article 1. https://doi. org/10.1038/srep40263

Majbour, N. K., Vaikath, N. N., Eusebi, P., Chiasserini, D., Ardah, M., Varghese, S., Haque, M. E., Tokuda, T., Auinger, P., Calabresi, P., Parnetti, L., & El-Agnaf, O. M. A. (2016). Longitudinal changes in CSF alpha-synuclein species reflect Parkinson’s disease progression. Movement Disorders, 31(10), 1535–1542. https://doi.org/10.1002/mds.26754

Mahmood T., El-Asrag M.E., Poulter J.A., Cardno A.G., Tomlinson A., Ahmed S., Al-Amri A., Nazari J., Neill J., Chamali R.S., Kiwan N., Ghuloum S., Alhaj H.A., Moor J.R., Khan S., Al-Amin H., Johnson C.A., Woodruff P., Wilkinson I.D., Ali M., Clapcote S.J., Inglehearn C.F. (2021). A Recessively Inherited Risk Locus on Chromosome 13q22-31 Conferring Susceptibility to Schizophrenia. Schizophrenia Bulletin, 47(3)

Majbour, N. K., Vaikath, N. N., van Dijk, K. D., Ardah, M. T., Varghese, S., Vesterager, L. B., Montezinho, L. P., Poole, S., Safieh-Garabedian, B., Tokuda, T., Teunissen, C. E., Berendse, H. W., van de Berg, W. D. J., & El-Agnaf, O. M. A. (2016). Oligomeric and

132 133 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

phosphorylated alpha-synuclein as potential CSF biomarkers for Parkinson’s disease. Molecular Neurodegeneration, 11(1), 7. https://doi.org/10.1186/ s13024-016-0072-9

Malek J.A., Martinez A., Mery E., Ferron G., Huang R., Raynaud C., Jouve E., Thiery J.-P., Querleu D., Rafii A. (2012). Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis. Journal of Translational Medicine, 10(1)

Malik, S., Zaied, R., Syed, N., Jithesh, P., & AlShafai, M. (2021). Seven novel glucose-6-phosphate dehydrogenase (G6PD) deficiency variants identified in the Qatari population. Human Genomics, 15(1), 61. https://doi.org/10.1186/s40246-021-00358-9

Marabti E.E., Malek J., Younis I. (2021). Minor intron splicing from basic science to disease. International Journal of Molecular Sciences, 22(11)

Marcais A., Blevins R., Graumann J., Feytout A., Dharmalingam G., Carroll T., Amado I.F., Bruno L., Lee K., Walzer T., Mann M., Freitas A.A., Boothby M., Fisher A.G., Merkenschlager M. (2014). microRNAmediated regulation of mTOR complex components facilitates discrimination between activation and anergy in CD4 T cells. Journal of Experimental Medicine, 211(11)

Marei I., Abu Samaan T., Al-Quradaghi M.A., Farah A.A., Mahmud S.H., Ding H., Triggle C.R. (2022). 3D Tissue-Engineered Vascular Drug Screening Platforms: Promise and Considerations. Frontiers in Cardiovascular Medicine, 9

Marei I., Ahmetaj-Shala B., Triggle C.R. (2022). Biofunctionalization of cardiovascular stents to induce endothelialization: Implications for in- stent thrombosis in diabetes. Frontiers in Pharmacology, 13

Marei I., Chidiac O., Thomas B., Pasquier J., Dargham S., Robay A., Vakayil M., Jameesh M., Triggle C., Rafii A., Jayyousi A., Al Suwaidi J., Abi Khalil C. (2022). Angiogenic content of microparticles in patients with diabetes and coronary artery disease predicts networks of endothelial dysfunction. Cardiovascular Diabetology, 21(1)

Marincola F.M., Sheikh J.I. (2012). A road map to Translational Medicine in Qatar and a model for the world. Journal of Translational Medicine, 10(1)

Masania, J., Wijten, P., Keipert, S., Ost, M., Klaus, S.,

Rabbani, N., & Thornalley, P. J. (2023). Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle. Redox Biology, 59, 102574. https://doi.org/10.1016/j.redox.2022.102574

Masouris I., Klein M., Angele B., Groß B., Goswami N., Mashood F., Gesell Salazar M., Schubert S., Pfister H.-W., Koedel U., Schmidt F. (2023). Quantitative proteomic analysis of cerebrospinal fluid from patients with idiopathic facial nerve palsy. European Journal of Neurology, 30(4)

Mathew S., Krug S., Skurk T., Halama A., Stank A., Artati A., Prehn C., Malek J.A., Kastenmüller G., Römisch-Margl W., Adamski J., Hauner H., Suhre K. (2014). Metabolomics of Ramadan fasting: An opportunity for the controlled study of physiological responses to food intake. Journal of Translational Medicine, 12(1)

Matías-García P.R., Wilson R., Guo Q., Zaghlool

S.B., Eales J.M., Xu X., Charchar F.J., Dormer J., Maalmi H., Schlosser P., Elhadad M.A., Nano J., Sharma S., Peters A., Fornoni A., Mook-Kanamori

D.O., Winkelmann J., Danesh J., Di Angelantonio E., Ouwehand W.H., Watkins N.A., Roberts D.J., Petrera

A., Graumann J., Koenig W., Hveem K., Jonasson

C., Köttgen A., Butterworth A., Prunotto M., Hauck

S.M., Herder C., Suhre K., Gieger C., Tomaszewski

M., Teumer A., Waldenberger M., Human Kidney Tissue Resource (2021). Plasma proteomics of renal function: A transethnic meta-analysis and mendelian randomization study. Journal of the American Society of Nephrology, 32(7)

Mazurakova A., Koklesova L., Samec M., Kudela E., Kajo K., Skuciova V., Csizmár S.H., Mestanova V., Pec M., Adamkov M., Al-Ishaq R.K., Smejkal K., Giordano F.A., Büsselberg D., Biringer K., Golubnitschaja O., Kubatka P. (2022). Anti-breast cancer effects of phytochemicals: primary, secondary, and tertiary care. EPMA Journal, 13(2)

Mazurakova A., Koklesova L., Samec M., Kudela E., Sivakova J., Pribulova T., Pec M.J., Pec M., Kello M., Büsselberg D., Golubnitschaja O., Gaspar L., Caprnda M., Adamek M., Prosecky R., Eminova E., Baranenko D., Kruzliak P., Kubatka P., Biringer K. (2022). Flavonoids exert potential in the management of hypertensive disorders in pregnancy. Pregnancy Hypertension, 29

Mazurakova A., Koklesova L., Vybohova D., Samec M., Kudela E., Biringer K., Šudomová M., Hassan S.T.S., Kello M., Büsselberg D., Golubnitschaja O., Kubatka P. (2023). Therapy-resistant breast cancer in focus: Clinically relevant mitigation by

flavonoids targeting cancer stem cells. Frontiers in Pharmacology, 14

Mazurakova A., Samec M., Koklesova L., Biringer K., Kudela E., Al-Ishaq R.K., Pec M., Giordano F.A., Büsselberg D., Kubatka P., Golubnitschaja O. (2022). Anti-prostate cancer protection and therapy in the framework of predictive, preventive and personalised medicine — comprehensive effects of phytochemicals in primary, secondary and tertiary care. EPMA Journal, 13(3)

Mbarek, H., Cocca, M., & Sarraj, Y. A. (n.d.). Poking COVID-19: Insights on genomic constraints among immune-related genes between Qatari and Italian populations.

Mbarek H., Devadoss Gandhi G., Selvaraj S., Al-Muftah W., Badji R., Al-Sarraj Y., Saad C., Darwish D., Alvi M., Fadl T., Yasin H., Alkuwari F., Razali R., Aamer W., Abbaszadeh F., Ahmed I., Mokrab Y., Suhre K., Albagha O., Fakhro K., Badii R., Ismail S.I., Althani A., Qatar Genome Program Research Consortium (2022). Qatar genome: Insights on genomics from the Middle East. Human Mutation, 43(4)

Mbarek, H., & Ismail, S. I. (2022). Mapping the Arab genome. Nature Genetics, 54(12), 1761–1763. https://doi.org/10.1038/s41588-022-01239-0

McKeage, M. J., Tin Tin, S., Khwaounjoo, P., Sheath, K., Dixon-McIver, A., Ng, D., Sullivan, R., Cameron, L., Shepherd, P., Laking, G. R., Kingston, N., Strauss, M., Lewis, C., Elwood, M., & Love, D. R. (2020). Screening for anaplastic lymphoma kinase ( ALK ) gene rearrangements in non small cell lung cancer in New Zealand. Internal Medicine Journal, 50(6), 716–725. https://doi.org/10.1111/imj.14435

Mégarbané A., Al-Ali R., Choucair N., Lek M., Wang E., Ladjimi M., Rose C.M., Hobeika R., Macary Y., Temanni R., Jithesh P.V., Chouchane A., Sastry K.S., Thomas R., Tomei S., Liu W., Marincola F.M., MacArthur D., Chouchane L. (2016). TempleBaraitser Syndrome and Zimmermann-Laband Syndrome: One clinical entity?. BMC Medical Genetics, 17(1)

Mehawej C., Chouery E., Al Hage Chehade G., Bejaoui Y., Mahfoud D., Gerges M., Delague V., El Hajj N., Megarbane A.(2023). Report on a Case with Moreno-Nishimura-Schmidt Overgrowth Syndrome: A Clinically Delineated Disease Yet of an Unknown

Origin!.Molecular Syndromology,14(3)

Mehraj, U., Alshehri, B., Khan, A. A., Bhat, A. A., Bagga, P., Wani, N. A., & Mir, M. A. (2022). Expression Pattern and Prognostic Significance of Chemokines in Breast cancer: An Integrated Bioinformatics Analysis. Clinical Breast Cancer, 22(6), 567–578. https://doi.org/10.1016/j.clbc.2022.04.008

Memon, B., & Abdelalim, E. M. (2021). Differentiation of Human Pluripotent Stem Cells into Pancreatic Beta-cell Precursors in a 2D Culture System. Journal of Visualized Experiments: JoVE, 178. https://doi.org/10.3791/63298

Memon, B., Elsayed, A. K., Bettahi, I., Suleiman, N., Younis, I., Wehedy, E., Abou-Samra, A. B., & Abdelalim, E. M. (2022). iPSCs derived from insulin resistant offspring of type 2 diabetic patients show increased oxidative stress and lactate secretion. Stem Cell Research & Therapy, 13(1), 428. https:// doi.org/10.1186/s13287-022-03123-4

Memon, B., Karam, M., Al-Khawaga, S., & Abdelalim, E. M. (2018). Enhanced differentiation of human pluripotent stem cells into pancreatic progenitors co-expressing PDX1 and NKX6.1. Stem Cell Research & Therapy, 9(1), 15. https://doi. org/10.1186/s13287-017-0759-z

Memon, B., Younis, I., Abubaker, F., & Abdelalim, E. M. (2021). PDX1−/NKX6.1+ progenitors derived from human pluripotent stem cells as a novel source of insulin-secreting cells. Diabetes/Metabolism Research and Reviews, 37(5), e3400. https://doi. org/10.1002/dmrr.3400

Menni C., Fauman E., Erte I., Perry J.R.B., Kastenmüller G., Shin S.-Y., Petersen A.-K., Hyde C., Psatha M., Ward K.J., Yuan W., Milburn M., Palmer C.N.A., Frayling T.M., Trimmer J., Bell J.T., Gieger C., Mohney R.P., Brosnan M.J., Suhre K., Soranzo N., Spector T.D. (2013). Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach. Diabetes, 62(12)

Menni C., Graham D., Kastenmüller G., Alharbi N.H.J., Alsanosi S.M., Mcbride M., Mangino M., Titcombe P., Shin S.-Y., Psatha M., Geisendorfer T., Huber A., Peters A., Wang-Sattler R., Xu T., Brosnan M.J., Trimmer J., Reichel C., Mohney R.P.,

134 135
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Soranzo N., Edwards M.H., Cooper C., Church A.C., Suhre K., Gieger C., Dominiczak A.F., Spector T.D., Padmanabhan S., Valdes A.M. (2015). Metabolomic Identification of a Novel Pathway of Blood Pressure Regulation Involving Hexadecanedioate. Hypertension, 66(2)

Menni C., Kastenmüller G., Petersen A.K., Bell J.T., Psatha M., Tsai P.-C., Gieger C., Schulz H., Erte I., John S., Brosnan M.J., Wilson S.G., Tsaprouni L., Lim E.M., Stuckey B., Deloukas P., Mohney R., Suhre K., Spector T.D., Valdes A.M. (2013). Metabolomic markers reveal novel pathways of ageing and early development in human populations. International Journal of Epidemiology, 42(4)

Menni C., McCallum L., Pietzner M., Zierer J., Aman A., Suhre K., Mohney R.P., Mangino M., Friedrich N., Spector T.D., Padmanabhan S. (2019). Metabolomic profiling identifies novel associations with Electrolyte and Acid-Base Homeostatic patterns. Scientific Reports, 9(1)

Menni C., Zhai G., MacGregor A., Prehn C., RömischMargl W., Suhre K., Adamski J., Cassidy A., Illig T., Spector T.D., Valdes A.M. (2013). Targeted metabolomics profiles are strongly correlated with nutritional patterns in women. Metabolomics, 9(2)

Merz B., Nöthlings U., Wahl S., Haftenberger M., Schienkiewitz A., Adamski J., Suhre K., Wang-Sattler R., Grallert H., Thorand B., Pischon T., Bachlechner U., Floegel A., Peters A., Boeing H. (2016). Specific metabolic markers are associated with future waistgaining phenotype in women. PLoS ONE, 11(6)

Mesleh A, Ehtewish H, de la Fuente A, Al-Shamari H, Ghazal I, Al-Faraj F, Al-Shaban F, Abdesselem HB, Emara M, Alajez NM, Arredouani A, Decock J, Albagha O, Stanton LW, Abdulla SA, El-Agnaf OMA. Blood Proteomics Analysis Reveals Potential Biomarkers and Convergent Dysregulated Pathways in Autism Spectrum Disorder: A Pilot Study. Int J Mol Sci. 2023 Apr 18;24(8):7443. doi: 10.3390/ijms24087443. PMID: 37108604; PMCID: PMC10138652.

Mesleh, A., Ehtewish, H., Lennard, K., Abdesselem, H. B., Al-Shaban, F., Decock, J., Alajez, N. M., Arredouani, A., Emara, M. M., Albagha, O., Stanton, L. W., Abdulla, S. A., Blackburnand, J. M., & ElAgnaf, O. M. A. (2023). High-throughput autoantibody screening identifies differentially abundant autoantibodies in autism spectrum disorder.

Frontiers in Molecular Neuroscience, 16, 1222506. https://doi.org/10.3389/fnmol.2023.1222506

Meyer T.C., Michalik S., Holtfreter S., Weiss S., Friedrich N., Völzke H., Kocher T., Kohler C., Schmidt F., Bröker B.M., Völker U. (2021). A Comprehensive View on the Human Antibody Repertoire Against Staphylococcus aureus Antigens in the General Population. Frontiers in Immunology, 12

Meyer T.C., Schmidt F., Steinke J., Bröker B.M., Völker U., Michalik S. (2020). Technical report: xMAPr – High-dynamic-range (HDR) quantification of antigen-specific antibody binding. Journal of Proteomics, 212

Michalik S., Sundaramoorthy N., Murr A., Depke M., Völker U., Bröker B.M., Aamot H.V., Schmidt F. (2020). Early-Stage Staphylococcus aureus Bloodstream Infection Causes Changes in the Concentrations of Lipoproteins and Acute-Phase Proteins and Is Associated with Low Antibody Titers against Bacterial Virulence Factors. mSystems, 5(1)

Mintz, P. J., Huang, K.-W., Reebye, V., Nteliopoulos, G., Lai, H.-S., Sætrom, P., Kasahara, N., Jensen, S., Pai, M., Gordon, M. Y., Marley, S. B., Behan, R., Spalding, D. R., Haoudi, A., Emara, M. M., Nicholls, J., Rossi, J. J., & Habib, N. A. (2014). Exploiting Human CD34+ Stem Cell–conditioned Medium for Tissue Repair. Molecular Therapy, 22(1), 149–159. https://doi.org/10.1038/mt.2013.194

Mlecnik B., Bindea G., Angell H.K., Maby P., Angelova M., Tougeron D., Church S.E., Lafontaine L., Fischer M., Fredriksen T., Sasso M., Bilocq A.M., Kirilovsky A., Obenauf A.C., Hamieh M., Berger A., Bruneval P., Tuech J.-J., Sabourin J.-C., Le Pessot F., Mauillon J., Rafii A., Laurent-Puig P., Speicher M.R., Trajanoski Z., Michel P., Sesboüe R., Frebourg T., Pagès F., Valge-Archer V., Latouche J.-B., Galon J. (2016). Integrative Analyses of Colorectal Cancer Show Immunoscore Is a Stronger Predictor of Patient Survival Than Microsatellite Instability. Immunity, 44(3)

Mlecnik B., Bindea G., Angell H.K., Sasso M.S., Obenauf A.C., Fredriksen T., Lafontaine L., Bilocq A.M., Kirilovsky A., Tosolini M., Waldner M., Berger A., Fridman W.H., Rafii A., Valge-Archer V., Pagès F., Speicher M.R., Galon J. (2014). Functional network pipeline reveals genetic determinants associated with in situ lymphocyte proliferation and survival of cancer patients. Science Translational Medicine, 6(228)

Mohammad F., Shaikh M.F., Syed Y.A., Tissir F.(2023). Editorial: Advances in understanding synaptic function and its dysfunction in neurological disorders.Frontiers in Molecular Neuroscience,16.

Mohammed I., Hollenberg M.D., Ding H., Triggle C.R. (2021). A Critical Review of the Evidence That Metformin Is a Putative Anti-Aging Drug That Enhances Healthspan and Extends Lifespan. Frontiers in Endocrinology, 12

Mohammed, I., Al-Khawaga, S., Bohanna, D., Shabani, A., Khan, F., Love, D. R., Nawaz, Z., & Hussain, K. (2020). Haploinsufficiency of the FOXA2 associated with a complex clinical phenotype. Molecular Genetics & Genomic Medicine, 8(6). https://doi.org/10.1002/mgg3.1086

Mohanty A., Alhaj Sulaiman A., Moovarkumudalvan B., Ali R., Aouida M., Ramotar D.(2023). The Yeast Permease Agp2 Senses Cycloheximide and Undergoes Degradation That Requires the Small Protein Brp1-Cellular Fate of Agp2 in Response to Cycloheximide.International Journal of Molecular Sciences,24(8)

Mohsen F., Ali H., El Hajj N., Shah Z.(2022). Artificial intelligence-based methods for fusion of electronic health records and imaging data.Scientific Reports,12(1)

Moin, A. S. M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2020). Renin-Angiotensin System Overactivation in Type 2 Diabetes: A Risk for SARSCoV-2 Infection? Diabetes Care, 43(10), e131–e133. https://doi.org/10.2337/dc20-1115

Moin, A. S. M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021a). Hypoglycaemia in type 2 diabetes exacerbates amyloid-related proteins associated with dementia. Diabetes, Obesity and Metabolism, 23(2), 338–349. https://doi.org/10.1111/ dom.14220

Moin, A. S. M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021b). Platelet Protein-Related Abnormalities in Response to Acute Hypoglycemia in Type 2 Diabetes. Frontiers in Endocrinology, 12. https://doi.org/10.3389/fendo.2021.651009

Moin, A. S. M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021c). Soluble Neuropilin-1 Response to Hypoglycemia in Type 2 Diabetes: Increased Risk or Protection in SARS-CoV-2 Infection? Frontiers in Endocrinology, 12. https://doi.

org/10.3389/fendo.2021.665134

Moin, A. S. M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021d). Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity. Frontiers in Endocrinology, 12. https://doi.org/10.3389/ fendo.2021.658304

Moin, A. S. M., Cory, M., Gurlo, T., Saisho, Y., Rizza, R. A., Butler, P. C., & Butler, A. E. (2020). Pancreatic alpha-cell mass across adult human lifespan. European Journal of Endocrinology, 182(2), 219–231. https://doi.org/10.1530/EJE-19-0844

Moin, A. S. M., Kahal, H., Al-Qaissi, A., Kumar, N., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021). Amyloid-related protein changes associated with dementia differ according to severity of hypoglycemia. BMJ Open Diabetes Research and Care, 9(1), e002211. https://doi.org/10.1136/ bmjdrc-2021-002211

Moin, A. S. M., Montemurro, C., Zeng, K., Cory, M., Nguyen, M., Kulkarni, S., Fritsch, H., Meier, J. J., Dhawan, S., Rizza, R. A., Atkinson, M. A., & Butler, A. E. (2019). Characterization of Non-hormone Expressing Endocrine Cells in Fetal and Infant Human Pancreas. Frontiers in Endocrinology, 9. https://doi.org/10.3389/fendo.2018.00791

Moin, A. S. M., Nandakumar, M., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021). Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes. Frontiers in Molecular Biosciences, 8. https://doi.org/10.3389/ fmolb.2021.744459

Moin, A. S. M., Nandakumar, M., Diboun, I., Al-Qaissi, A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021). Hypoglycemia-induced changes in complement pathways in type 2 diabetes. Atherosclerosis Plus, 46, 35–45. https://doi.org/10.1016/j. athplu.2021.11.002

Moin, A. S. M., Nandakumar, M., Kahal, H., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2021). Heat Shock-Related Protein Responses and Inflammatory Protein Changes Are Associated with Mild Prolonged Hypoglycemia. Cells, 10(11), Article 11. https://doi.org/10.3390/cells10113109

Moin, A. S. M., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2020). Renin-Angiotensin System overactivation in polycystic ovary syndrome, a risk for SARS-CoV-2 infection? Metabolism Open, 7, 100052. https://doi.org/10.1016/j.metop.2020.100052

136 137 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Moin, A. S. M., Sathyapalan, T., Butler, A. E., & Atkin, S. L. (2021). Vitamin D Association With MacrophageDerived Cytokines in Polycystic Ovary Syndrome: An Enhanced Risk of COVID-19 Infection? Frontiers in Endocrinology, 12. https://doi.org/10.3389/ fendo.2021.638621

Moin, A. S. M., Sathyapalan, T., Diboun, I., Atkin, S. L., & Butler, A. E. (2021). Identification of macrophage activation-related biomarkers in obese type 2 diabetes that may be indicative of enhanced respiratory risk in COVID-19. Scientific Reports, 11(1), 6428. https://doi.org/10.1038/s41598-02185760-y

Moin, A. S. M., Sathyapalan, T., Diboun, I., Elrayess, M. A., Butler, A. E., & Atkin, S. L. (2021). Metabolic consequences of obesity on the hypercoagulable state of polycystic ovary syndrome. Scientific Reports, 11(1), Article 1. https://doi.org/10.1038/ s41598-021-84586-y

Moin, A. S. M., Zeng, K., Rizza, R. A., Dhawan, S., & Butler, A. E. (2021). Chromogranin A-positive hormone-negative endocrine cells in pancreas in human pregnancy. Endocrinology, Diabetes & Metabolism, 4(2), e00223. https://doi.org/10.1002/ edm2.223

Mokdad A.H., Moradi-Lakeh M., Charara R., El Bcheraoui C., Khalil I., Afshin A., Kassebaum N.J., Collison M., Chew A., Krohn K.J., Daoud F., Colombara D., Graetz N., Kutz M., Wang H., AbdAllah F., Abu-Raddad L.J., Ahmad Kiadaliri A., Beshir Ahmed M., Alam K., Alghnam S., Alizadeh-Navaei R., Al-Raddadi R., Altirkawi K.A., Anber N., Anwari P., Avila-Burgos L., Awasthi A., Barac A., Barker-Collo S.L., Bedi N., Bhutta Z.A., Borschmann R., Boufous S., Butt Z.A., Castañeda-Orjuela C.A., Dalal K., Danawi H., De Leo D., Dharmaratne S.D., Djalalinia S., Doyle K.E., Esteghamati A., Faro A., Farvid M.S., Fereshtehnejad S.-M., Fischer F., Tewelde Gebrehiwot T., Gutiérrez R.A., Hafezi-Nejad N., Ribhi Hamadeh R., Hamidi S., Maria Haro J., Hendrie D., Hu G., Jonas J.B., Kasaeian A., Njenga Keiyoro P., Saleh Khader Y., Ahmad Khan E., Khubchandani J., Kopec J.A., Larson H.J., Abdul Latif A., Tesema Leshargie C., Lunevicius R., Magdy Abd El Razek M., Majeed A., Malekzadeh R., Memish Z.A., Meretoja T.J., Miller T.R., Mohammed S., Makhlouf Obermeyer C., Akpojene Ogbo F., Robert Phillips M., Pourmalek F., Qorbani M., Radfar A., Rafay A., Rahimi-Movaghar A., Rahimi-Movaghar V., Kumar Rai R., Laith Rawaf D., Rawaf S., Rezaei S., Sadegh Rezai M., Roshandel

G., Safdarian M., Safiri S., Salamati P., Samy A.M., Sartorius B., Seedat S., Sepanlou S.G., Ali Shaikh M., Sobaih B.H.A., Tabb K.M., Tehrani-Banihashemi A., Temsah M.-H., Sulieman Terkawi A., ToporMadry R., Nnanna Ukwaja K., Uthman O.A., Yaseri M., Yonemoto N., Younis M.Z., Jumaan A.O., Vos T., Hay S.I., Naghavi M., Murray C.J.L., GBD 2015 Eastern Mediterranean Region Intentional Injuries Collaborators (2018). Intentional injuries in the Eastern Mediterranean Region, 1990–2015: findings from the Global Burden of Disease 2015 study.

International Journal of Public Health, 63

Molla M.H.R., Aljahdali M.O., Sumon M.A.A., Asseri A.H., Altayb H.N., Islam M.S., Alsaiari A.A., Opo F.A.D.M., Jahan N., Ahammad F., Mohammad F.(2023). Integrative Ligand-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Simulation Approaches Identified Potential Lead Compounds against Pancreatic Cancer by Targeting FAK1.Pharmaceuticals,16(1)

Molnos S., Baumbach C., Wahl S., Müller-Nurasyid M., Strauch K., Wang-Sattler R., Waldenberger M., Meitinger T., Adamski J., Kastenmüller G., Suhre K., Peters A., Grallert H., Theis F.J., Gieger C. (2017). pulver: An R package for parallel ultra-rapid p-value computation for linear regression interaction terms.

BMC Bioinformatics, 18(1)

Molnos S., Wahl S., Haid M., Eekhoff E.M.W., Pool R., Floegel A., Deelen J., Much D., Prehn C., Breier M., Draisma H.H., van Leeuwen N., Simonis-Bik A.M.C., Jonsson A., Willemsen G., Bernigau W., Wang-Sattler R., Suhre K., Peters A., Thorand B., Herder C., Rathmann W., Roden M., Gieger C., Kramer M.H.H., van Heemst D., Pedersen H.K., Gudmundsdottir V., Schulze M.B., Pischon T., de Geus E.J.C., Boeing H., Boomsma D.I., Ziegler A.G., Slagboom P.E., Hummel S., Beekman M., Grallert H., Brunak S., McCarthy M.I., Gupta R., Pearson E.R., Adamski J., ’t Hart L.M. (2018). Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study. Diabetologia, 61(1)

Mook-Kanamori D.O., De Mutsert R., Rensen P.C.N., Prehn C., Adamski J., Den Heijer M., Le Cessie S., Suhre K., Rosendaal F.R., Dijk K.W.V. (2016). Type 2 diabetes is associated with postprandial amino acid measures. Archives of Biochemistry and Biophysics, 589

Mook-Kanamori D.O., El-Din Selim M.M., Takiddin A.H., Al-Homsi H., Al-Mahmoud K.A.S., Al-Obaidli A., Zirie M.A., Rowe J., Yousri N.A., Karoly E.D., Kocher T., Gherbi W.S., Chidiac O.M., Mook-Kanamori M.J., Kader S.A., Al Muftah W.A., McKeon C., Suhre K.

(2014). 1,5-Anhydroglucitol in saliva is a noninvasive marker of short-term glycemic control. Journal of Clinical Endocrinology and Metabolism, 99(3)

Mook-Kanamori D.O., Römisch-Margl W., Kastenmüller G., Prehn C., Petersen A.K., Illig T., Gieger C., Wang-Sattler R., Meisinger C., Peters A., Adamski J., Suhre K. (2014). Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up. Journal of Endocrinological Investigation, 37(4)

Mook-Kanamori M.J., El-Din Selim M.M., Takiddin A.H., Al-Homsi H., Al-Mahmoud K.A.S., Al-Obaidli A., Zirie M.A., Rowe J., Gherbi W.S., Chidiac O.M., Kader S.A., Muftah W.A.A., McKeon C., Suhre K., MookKanamori D.O. (2013). Ethnic and gender differences in advanced glycation end products measured by skin auto-fluorescence. Dermato-Endocrinology, 5(2)

Moovarkumudalvan B., Geethakumari A.M., Ramadoss R., Biswas K.H., Mifsud B.(2022). Structure-Based Virtual Screening and Functional Validation of Potential Hit Molecules Targeting the SARS-CoV-2 Main Protease.Biomolecules,12(12)

Mubarak, G., & Zahir, F. R. (2022). Recent Major Transcriptomics and Epitranscriptomics Contributions toward Personalized and Precision Medicine. Journal of Personalized Medicine, 12(2), 199. https://doi.org/10.3390/jpm12020199

Murtas D., Maric D., De Giorgi V., Reinboth J., Worschech A., Fetsch P., Filie A., Ascierto M.L., Bedognetti D., Liu Q., Uccellini L., Chouchane L., Wang E., Marincola F.M., Tomei S. (2013). IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes. British Journal of Cancer, 109(1)

Murugesan, S., Al Ahmad, S. F., Singh, P., Saadaoui, M., Kumar, M., & Al Khodor, S. (2020). Profiling the Salivary microbiome of the Qatari population. Journal of Translational Medicine, 18(1), 127. https:// doi.org/10.1186/s12967-020-02291-2

Muzammal, M., Di Cerbo, A., Almusalami, E. M., Farid, A., Khan, M. A., Ghazanfar, S., Al Mohaini, M., Alsalman, A. J., Alhashem, Y. N., Al Hawaj, M. A., & Alsaleh, A. A. (2022). In Silico Analysis of the L-2-Hydroxyglutarate Dehydrogenase Gene Mutations and Their Biological Impact on Disease Etiology. Genes, 13(4), 698. https://doi.org/10.3390/ genes13040698

Mytsyk Y., Dosenko V., Borys Y., Kucher A., Gazdikova K., Busselberg D., Caprnda M., Kruzliak P., Farooqi

A.A., Lubov M. (2018). MicroRNA-15a expression measured in urine samples as a potential biomarker of renal cell carcinoma. International Urology and Nephrology, 50(5)

Nader I. AL-Dewik, M. Walid Qoronfleh, Genomics and Precision Medicine: Molecular Diagnostics Innovations Shaping the Future of Healthcare in Qatar. Advances in Public Health, vol. 2019, Article ID 3807032, 11 pages, 2019. https://doi. org/10.1155/2019/3807032

Nag A., Kurushima Y., Bowyer R.C.E., Wells P.M., Weiss S., Pietzner M., Kocher T., Raffler J., Völker U., Mangino M., Spector T.D., Milburn M.V., Kastenmüller G., Mohney R.P., Suhre K., Menni C., Steves C.J. (2020). Genome-wide scan identifies novel genetic loci regulating salivary metabolite levels. Human Molecular Genetics, 29(5)

Naik, A., & Decock, J. (2022). Targeting of lactate dehydrogenase C dysregulates the cell cycle and sensitizes breast cancer cells to DNA damage response targeted therapy. Molecular Oncology, 16(4), 885–903. https://doi.org/10.1002/18780261.13024

Naik, A., Thomas, R., Al-Khadairi, G., Bacha, R., Hendrickx, W., & Decock, J. (2021). Cancer testis antigen PRAME: An anti-cancer target with immunomodulatory potential. Journal of Cellular and Molecular Medicine, 25(22), 10376–10388. https://doi.org/10.1111/jcmm.16967

Nair, V. S., Saleh, R., Taha, R. Z., Toor, S. M., Murshed, K., Ahmed, A. A., Kurer, M. A., Abu Nada, M., Al Ejeh, F., & Elkord, E. (2020). Differential gene expression of tumor-infiltrating CD4+ T cells in advanced versus early stage colorectal cancer and identification of a gene signature of poor prognosis. OncoImmunology, 9(1), 1825178. https://doi.org/10.1 080/2162402X.2020.1825178

Nair, V. S., Saleh, R., Toor, S. M., Taha, R. Z., Ahmed, A. A., Kurer, M. A., Murshed, K., Alajez, N. M., Abu Nada, M., & Elkord, E. (2020). Transcriptomic profiling disclosed the role of DNA methylation and histone modifications in tumor-infiltrating myeloidderived suppressor cell subsets in colorectal cancer. Clinical Epigenetics, 12(1), 13. https://doi. org/10.1186/s13148-020-0808-9

Nair, V. S., Saleh, R., Toor, S. M., Taha, R. Z., Ahmed, A. A., Kurer, M. A., Murshed, K., Nada, M. A., & Elkord, E. (2020). Epigenetic regulation of immune checkpoints and T cell exhaustion markers in tumor-infiltrating T cells of colorectal cancer

138 139
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

patients. Epigenomics, 12(21), 1871–1882. https:// doi.org/10.2217/epi-2020-0267

Nair, V. S., Toor, S. M., Taha, R. Z., Ahmed, A. A., Kurer, M. A., Murshed, K., Soofi, M. E., Ouararhni, K., M. Alajez, N., Abu Nada, M., & Elkord, E. (2020). Transcriptomic Profiling of Tumor-Infiltrating CD4+TIM-3+ T Cells Reveals Their Suppressive, Exhausted, and Metastatic Characteristics in Colorectal Cancer Patients. Vaccines, 8(1), Article 1. https://doi.org/10.3390/vaccines8010071

Nair, V. S., Toor, S. M., Taouk, G., Pfister, G., Ouararhni, K., Alajez, N. M., & Elkord, E. (2019). Pembrolizumab Interferes with the Differentiation of Human FOXP3+–Induced T Regulatory Cells, but Not with FOXP3 Stability, through Activation of mTOR. The Journal of Immunology. https://doi.org/10.4049/ jimmunol.1900575

Nandakumar, M., Moin, A. S. M., Ramanjaneya, M., Qaissi, A. A., Sathyapalan, T., Atkin, S. L., & Butler, A. E. (2022). Severe iatrogenic hypoglycaemia modulates the fibroblast growth factor protein response. Diabetes, Obesity and Metabolism, 24(8), 1483–1497. https://doi.org/10.1111/dom.14716

Nasarallah G.K., Fakhroo A.D., Khan T., Cyprian F.S., Al Ali F., Ata M.M.A., Taleb S., Zedan H.T., Al-Sadeq D.W., Amanullah F.H., Hssain A.A., Eid A.H., Abu-Raddad L.J., Al-Khal A., Al Thani A.A., Marr N., Yassine H.M. (2022). Detection of Antinuclear Antibodies Targeting Intracellular Signal Transduction, Metabolism, Apoptotic Processes and Cell Death in Critical COVID-19 Patients. Mediterranean Journal of Hematology and Infectious Diseases, 14(1)

Ni, J., Ge, J., Zhang, M., Hussain, K., Guan, Y., Cheng, R., Xi, L., Zheng, Z., Ren, S., & Luo, F. (2019). Genotype and phenotype analysis of a cohort of patients with congenital hyperinsulinism based on DOPA-PET CT scanning. European Journal of Pediatrics, 178(8), 1161–1169. https://doi. org/10.1007/s00431-019-03408-6

Nicholson R.J., Poss A.M., Maschek J.A., Cox J.E., Hopkins P.N., Hunt S.C., Playdon M.C., Holland W.L., Summers S.A. (2021). Characterizing a Common CERS2 Polymorphism in a Mouse Model of Metabolic Disease and in Subjects from the Utah CAD Study. Journal of Clinical Endocrinology and Metabolism, 106(8)

Nicolescu, R. C., Al-Khawaga, S., Minassian, B. A., & Hussain, K. (2019). Diabetes Mellitus in a Patient With Lafora Disease: Possible Links With Pancreatic β-Cell Dysfunction and Insulin Resistance. Frontiers in Pediatrics, 6, 424. https://doi.org/10.3389/

fped.2018.00424

NIHR BioResource—Rare Disease, Next Generation Children Project, French, C. E., Delon, I., Dolling, H., Sanchis-Juan, A., Shamardina, O., Mégy, K., Abbs, S., Austin, T., Bowdin, S., Branco, R. G., Firth, H., Rowitch, D. H., & Raymond, F. L. (2019). Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children. Intensive Care Medicine, 45(5), 627–636. https://doi.org/10.1007/ s00134-019-05552-x

Nisar, S., Bhat, A. A., Hashem, S., Syed, N., Yadav, S. K., Uddin, S., Fakhro, K., Bagga, P., Thompson, P., Reddy, R., Frenneaux, M. P., & Haris, M. (2020). Genetic and Neuroimaging Approaches to Understanding Post-Traumatic Stress Disorder. International Journal of Molecular Sciences, 21(12), 4503. https://doi.org/10.3390/ijms21124503

Nisar, S., Bhat, A. A., Masoodi, T., Hashem, S., Akhtar, S., Ali, T. A., Amjad, S., Chawla, S., Bagga, P., Frenneaux, M. P., Reddy, R., Fakhro, K., & Haris, M. (2022). Genetics of glutamate and its receptors in autism spectrum disorder. Molecular Psychiatry, 27(5), 2380–2392. https://doi.org/10.1038/s41380022-01506-w

Nisar, S., Hashem, S., Bhat, A. A., Syed, N., Yadav, S., Azeem, M. W., Uddin, S., Bagga, P., Reddy, R., & Haris, M. (2019). Association of genes with phenotype in autism spectrum disorder. Aging, 11(22), 10742–10770. https://doi.org/10.18632/ aging.102473

Nolan D., Ginsberg M., Israely E., Palikuqi B., Poulos M.G., James D., Ding B.-S., Schachterle W., Liu Y., Rosenwaks Z., Butler J., Xiang J., Rafii A., Shido K., Rabbany S., Elemento O., Rafii S. (2013). Molecular Signatures of Tissue-Specific Microvascular Endothelial Cell Heterogeneity in Organ Maintenance and Regeneration. Developmental Cell, 26(2)

Noordam R., van Heemst D., Suhre K., Krumsiek J., Mook-Kanamori D.O. (2020). Proteome-wide assessment of diabetes mellitus in Qatari identifies IGFBP-2 as a risk factor already with early glycaemic disturbances. Archives of Biochemistry and Biophysics, 689

Noyes, M. D., Harvey, W. T., Porubsky, D., Sulovari, A., Li, R., Rose, N. R., Audano, P. A., Munson, K. M., Lewis, A. P., Hoekzema, K., Mantere, T., GravesLindsay, T. A., Sanders, A. D., Goodwin, S., Kramer, M., Mokrab, Y., Zody, M. C., Hoischen, A., Korbel, J. O., … Eichler, E. E. (2022). Familial long-read sequencing increases yield of de novo mutations. The American Journal of Human Genetics, 109(4),

631–646. https://doi.org/10.1016/j.ajhg.2022.02.014

N’Beirne S.L., Salit J., Rodriguez-Flores J.L., Staudt M.R., Khalil C.A., Fakhro K.A., Robay A., Ramstetter M.D., Malek J.A., Zirie M., Jayyousi A., Badii R., AlMarri A.A.-N., Bener A., Mahmoud M., Chiuchiolo M.J., Al-Shakaki A., Chidiac O., Stadler D., Mezey J.G., Crystal R.G. (2018). Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population. PLoS ONE, 13(9)

N’Beirne S.L., Salit J., Rodriguez-Flores J.L., Staudt M.R., Abi Khalil C., Fakhro K.A., Robay A., Ramstetter M.D., Al-Azwani I.K., Malek J.A., Zirie M., Jayyousi A., Badii R., Al-Nabet Al-marri A., Chiuchiolo M.J., Al-Shakaki A., Chidiac O., Gharbiah M., Bener A., Stadler D., Hackett N.R., Mezey J.G., Crystal R.G. (2016). Type 2 diabetes risk allele loci in the Qatari population. PLoS ONE, 11(7)

Nberbach A., Schlichting N., Hagl C., Lehmann S., Kullnick Y., Friedrich M., Köhl U., Horn F., Kumbhari V., Löffler B., Schmidt F., Joskowiak D., Born F., Saha S., Bagaev E. (2023). Four decades of experience of prosthetic valve endocarditis reflect a high variety of diverse pathogens. Cardiovascular Research, 119(2)

Ngishi, M., Arias, A. A., Yang, R., Han, J. E., Zhang, P., Rinchai, D., ... & Boisson-Dupuis, S. (2022). Impaired IL-23–dependent induction of IFN-γ underlies mycobacterial disease in patients with inherited TYK2 deficiency. Journal of Experimental Medicine, 219(10), e20220094.

Nkashah, S., Vasudeva, D., El Jerbi, A., KhodjetEl-khil, H., Al-Shafai, M., Syed, N., Kambouris, M., Udassi, S., Saraiva, L. R., Al-Saloos, H., Udassi, J., & Al-Shafai, K. N. (2022). Investigation of Genetic Causes in Patients with Congenital Heart Disease in Qatar: Findings from the Sidra Cardiac Registry. Genes, 13(8), 1369. https://doi.org/10.3390/ genes13081369

Nlagunju A.S., Ahammad F., Alagbe A.A., Otenaike T.A., Teibo J.O., Mohammad F., Alsaiari A.A., Omotoso O., Talukder M.E.K.(2023). Mitochondrial dysfunction: A notable contributor to the progression of Alzheimer´s and Parkinson´s disease.Heliyon,9(3)

N›Loghlen A., Muñoz-Cabello A.M., Gaspar-Maia A., Wu H.-A., Banito A., Kunowska N., Racek T., Pemberton H.N., Beolchi P., Lavial F., Masui O., Vermeulen M., Carroll T., Graumann J., Heard E., Dillon N., Azuara V., Snijders A.P., Peters G., Bernstein E., Gil J. (2012). MicroRNA regulation of Cbx7 mediates a switch of polycomb orthologs

during ESC differentiation. Cell Stem Cell, 10(1)

Nlthof A.M., White A.K., Mieruszynski S., Doggett K., Lee M.F., Chakroun A., Abdel Aleem A.K., Rousseau J., Magnani C., Roifman C.M., Campeau P.M., Heath J.K., Kanadia R.N. (2021). Disruption of exonbridging interactions between the minor and major spliceosomes results in alternative splicing around minor introns. Nucleic Acids Research, 49(6)

Nuellette, C. P., Sánchez, P. J., Xu, Z., Blankenship, D., Zeray, F., Ronchi, A., Shimamura, M., Chaussabel, D., Lee, L., Owen, K. E., Shoup, A. G., Ramilo, O., & Mejias, A. (2020). Blood genome expression profiles in infants with congenital cytomegalovirus infection. Nature Communications, 11(1), 3548. https://doi.org/10.1038/s41467-02017178-5

Nueslati, A., Lovisa, B., Perrin, J., Wagnières, G., Bergh, H. van den, Tardy, Y., & Lashuel, H. A. (2015). Photobiomodulation Suppresses AlphaSynuclein-Induced Toxicity in an AAV-Based Rat Genetic Model of Parkinson’s Disease. PLOS ONE, 10(10), e0140880. https://doi.org/10.1371/journal. pone.0140880

Nalangi F., Samuel S.M., Thompson I.R., Triggle C.R., Emara M.M. (2017). Effects of oxidative and thermal stresses on stress granule formation in human induced pluripotent stem cells. PLoS ONE, 12(7)

Nalangi, F., Samuel, S. M., Thompson, I. R., Triggle, C. R., & Emara, M. M. (2017). Effects of oxidative and thermal stresses on stress granule formation in human induced pluripotent stem cells. PLOS ONE, 12(7), e0182059. https://doi.org/10.1371/journal. pone.0182059

Nallayova M., Mohammed A., Langman G., Taheri S., Dasgupta I. (2015). Predicting non-diabetic renal disease in type 2 diabetic adults: The value of glycated hemoglobin. Journal of Diabetes and its Complications, 29(5)

Narker, K. R., Migliorini, D., Perkey, E., Yost, K. E., Bhaduri, A., Bagga, P., Haris, M., Wilson, N. E., Liu, F., Gabunia, K., Scholler, J., Montine, T. J., Bhoj, V. G., Reddy, R., Mohan, S., Maillard, I., Kriegstein, A. R., June, C. H., Chang, H. Y., … Satpathy, A. T. (2020). Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies. Cell, 183(1), 126-142.e17. https://doi.org/10.1016/j.cell.2020.08.022

140 141 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Nasquier J., Abu-Kaoud N., Al Thani H., Rafii A. (2015). Epithelial to Mesenchymal Transition in a Clinical Perspective. Journal of Oncology, 2015()

Nasquier J., Hoarau-Véchot J., Fakhro K., Rafii A., Abi Khalil C. (2015). Epigenetics and Cardiovascular Disease in Diabetes. Current Diabetes Reports, 15(12)

Nasquier J., Ramachandran V., Abu-Qaoud M.R., Thomas B., Benurwar M.J., Chidiac O., HoarauVéchot J., Robay A., Fakhro K., Menzies R.A., Jayyousi A., Zirie M., Al Suwaidi J., Malik R.A., Talal T.K., Najafi-Shoushtari S.H., Rafii A., Abi Khalil C. (2018). Differentially expressed circulating microRNAs in the development of acute diabetic Charcot foot. Epigenomics, 10(10)

Nasquier J., Rioult D., Abu-Kaoud N., Marie S., Rafii A., Guerrouahen B.S., Le Foll F. (2013). P-glycoprotein-activity measurements in multidrug resistant cell lines: Single-cell versus single-well population fluorescence methods. BioMed Research International, 2013

Nasquier J., Spurgeon M., Bradic M., Thomas B., Robay A., Chidiac O., DIb M.-J., Turjoman R., Liberska A., Staudt M., Fakhro K.A., Menzies R., Jayyousi A., Zirie M., Suwaidi J.A., Malik R.A., Talal T., Rafii A., Mezey J., Rodriguez-Flores J., Crystal R.G., Khalil C.A. (2019). Whole-methylome analysis of circulating monocytes in acute diabetic Charcot foot reveals differentially methylated genes involved in the formation of osteoclasts. Epigenomics, 11(3)

Nasquier J., Thawadi H.A., Ghiabi P., Abu-Kaoud N., Maleki M., Guerrouahen B.S., Vidal F., Courderc B., Ferron G., Martinez A., Al Sulaiti H., Gupta R., Rafii S., Rafii A. (2014). Microparticles mediated cross-talk between tumoral and endothelial cells promote the constitution of a pro-metastatic vascular niche through Arf6 up regulation. Cancer Microenvironment, 7(44928)

Nasquier J., Vidal F., Hoarau-Véchot J., Bonneau C., Daraï E., Touboul C., Rafii A. (2018). Surgical peritoneal stress creates a pro-metastatic niche promoting resistance to apoptosis via IL-8. Journal of Translational Medicine, 16(1)

Nasquier, J., Spurgeon, M., Bradic, M., Thomas, B., Robay, A., Chidiac, O., Dib, M.-J., Turjoman, R., Liberska, A., Staudt, M., Fakhro, K. A., Menzies, R., Jayyousi, A., Zirie, M., Suwaidi, J. A., Malik, R. A., Talal, T., Rafii, A., Mezey, J., … Khalil, C. A. (2019). Whole-methylome analysis of circulating monocytes

in acute diabetic Charcot foot reveals differentially methylated genes involved in the formation of osteoclasts. Epigenomics, 11(3), 281–296. https://doi. org/10.2217/epi-2018-0144

Natel P., Bharti P.K., Bansal D., Ali N.A., Raman R.K., Mohapatra P.K., Sehgal R., Mahanta J., Sultan A.A., Singh N. (2017). Prevalence of mutations linked to antimalarial resistance in Plasmodium falciparum from Chhattisgarh, Central India: A malaria elimination point of view. Scientific Reports, 7(1)

Natrinos G.P., Smith T.D., Howard H., Al-Mulla F., Chouchane L., Hadjisavvas A., Hamed S.A., Li X.-T., Marafie M., Ramesar R.S., Ramos F.J., de Ravel T., El-Ruby M.O., Shrestha T.R., Sobrido M.-J., Tadmouri G., Witsch-Baumgartner M., Zilfalil B.A., Auerbach A.D., Carpenter K., Cutting G.R., Dung V.C., Grody W., Hasler J., Jorde L., Kaput J., Macek M., Matsubara Y., Padilla C., Robinson H., Rojas-Martinez A., Taylor G.R., Vihinen M., Weber T., Burn J., Qi M., Cotton R.G.H., Rimoin D. (2012). Human variome project country nodes: Documenting genetic information within a country. Human Mutation, 33(11)

Nattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., ... & Foster, M. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016; 7: 10023. The largest GWAS meta-analysis on kidney disease in the general population, with evaluation of the identified loci in a subset of diabetic patients.

Navathuparambil Abdul Manaph, N., Ltaief, S. M., Nour-Eldine, W., Ponraj, J., Agcaoili, J., Mansour, S., & Al-Shammari, A. R. (2023). An optimized protocol for the preparation of blood immune cells for transmission electron microscopy. Micron, 173, 103517.

https://doi.org/10.1016/j.micron.2023.103517

Neifer-Weiß L., Kurban M., David C., Lubeck M., Kondadi A.K., Nemer G., Reichert A.S., Anand R.(2023). A X-linked nonsense APOO/MIC26 variant causes a lethal mitochondrial disease with progerialike phenotypes.Clinical Genetics.

Aupetit M., Garcia-Gomez J.M., Taheri S., Guan Y., Fernandez-Luque L. (2020). The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digital Medicine, 3(1)

Nériard J.D., Girard O., Townsend N., Bourdon P., Cocking S., Ihsan M., Lacome M., Nichols D., Travers G., Wilson M.G., Piscione J., Racinais S.(2023). Hematological Adaptations Following a Training Camp in Hot and/or Hypoxic Conditions in Elite Rugby Union Players.International Journal of Sports Physiology and Performance,18(9)

Nerkins, B. A., Rabbani, N., Weston, A., Adaikalakoteswari, A., Lee, J. A., Lovblom, L. E., Cardinez, N., & Thornalley, P. J. (2020). High fractional excretion of glycation adducts is associated with subsequent early decline in renal function in type 1 diabetes. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s41598-02069350-y

Netersen A.-K., Krumsiek J., Wägele B., Theis F.J., Wichmann H.-E., Gieger C., Suhre K. (2012). On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies. BMC Bioinformatics, 13(1)

Netersen A.-K., Stark K., Musameh M.D., Nelson C.P., Römisch-Margl W., Kremer W., Raffler J., Krug S., Skurk T., Rist M.J., Daniel H., Hauner H., Adamski J., Tomaszewski M., Döring A., Peters A., Wichmann H.-E., Kaess B.M., Kalbitzer H.R., Huber F., Pfahlert V., Samani N.J., Kronenberg F., Dieplinger H., Illig T., Hengstenberg C., Suhre K., Gieger C., Kastenmüller G. (2012). Genetic associations with lipoprotein subfractions provide information on their biological nature. Human Molecular Genetics, 21(6)

Netersen A.-K., Zeilinger S., Kastenmüller G., Werner R.-M., Brugger M., Peters A., Meisinger C., Strauch K., Hengstenberg C., Pagel P., Huber F., Mohney R.P., Grallert H., Illig T., Adamski J., Waldenberger M., Gieger C., Suhre K. (2014). Epigenetics meets metabolomics: An epigenomewide association study with blood serum metabolic traits. Human Molecular Genetics, 23(2)

affinity of Omicron S1-RBD for ACE2.Computational and Structural Biotechnology Journal,21.

Niontek U., Wallaschofski H., Kastenmüller G., Suhre K., Völzke H., Trinh Do K., Artati A., Nauck M., Adamski J., Friedrich N., Pietzner M. (2017). Sex-specific metabolic profiles of androgens and its main binding protein SHBG in a middle aged population without diabetes. Scientific Reports, 7(1)

Nitsiladis, Y. P., Tanaka, M., Eynon, N., Bouchard, C., North, K. N., Williams, A. G., ... & Athlome Project Consortium. (2016). Athlome Project Consortium: a concerted effort to discover genomic and other “omic” markers of athletic performance. Physiological genomics.

Nloier B., Caro L.N., Morizumi T., Pandey K., Pearring J.N., Goren M.A., Finnemann S.C., Graumann J., Arshavsky V.Y., Dittman J.S., Ernst O.P., Menon A.K. (2016). Dimerization deficiency of enigmatic retinitis pigmentosa-linked rhodopsin mutants. Nature Communications, 7

Noggiolini, I., Erskine, D., Vaikath, N. N., Ponraj, J., Mansour, S., Morris, C. M., & El-Agnaf, O. M. A. (2021). RT-QuIC Using C-Terminally Truncated α-Synuclein Forms Detects Differences in Seeding Propensity of Different Brain Regions from Synucleinopathies. Biomolecules, 11(6), Article 6. https://doi.org/10.3390/biom11060820

Nolanczyk, M. J., Walker, E., Haley, D., Guerrouahen, B. S., & Akporiaye, E. T. (2019). Blockade of TGF-β signaling to enhance the antitumor response is accompanied by dysregulation of the functional activity of CD4+ CD25+ Foxp3+ and CD4+ CD25− Foxp3+ T cells. Journal of translational medicine, 17(1), 1-12.

Nos Z., Spivey T.L., Liu H., Sommariva M., Chen J., Wunderlich J.R., Parisi G., Tomei S., Ayotte B.D., Stroncek D.F., Malek J.A., Robbins P.F., Rivoltini L., Maio M., Chouchane L., Wang E., Marincola F.M. (2014). Longitudinal study of recurrent metastatic melanoma cell lines underscores the individuality of cancer biology. Journal of Investigative Dermatology, 134(5)

https://doi.org/10.3389/fmicb.2020.581711

Nerez-Lopez, A., Sundararaju, S., Al-Mana, H., Tsui, K. M., Hasan, M. R., Suleiman, M., Janahi, M., Al Maslamani, E., & Tang, P. (2020). Molecular Characterization of Extended-Spectrum β-Lactamase–Producing Escherichia coli and Klebsiella pneumoniae Among the Pediatric Population in Qatar. Frontiers in Microbiology11, 581711.

Nerez-Pozuelo I., Zhai B., Palotti J., Mall R.,

Netersen O.H., Courjaret R., Machaca K. (2017). Ca2+ tunnelling through the ER lumen as a mechanism for delivering Ca2+ entering via store-operated Ca2+ channels to specific target sites. Journal of Physiology, 595(10)

Nhilip A.M., Ahmed W.S., Biswas K.H.(2023). Reversal of the unique Q493R mutation increases the

Noss A.M., Krick B., Maschek J.A., Haaland B., Cox J.E., Karra P., Ibele A.R., Hunt S.C., Adams T.D., Holland W.L., Playdon M.C., Summers S.A. (2022). Following Roux-en-Y gastric bypass surgery, serum ceramides demarcate patients that will fail to achieve normoglycemia and diabetes remission.

142 143
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Med, 3(7)

Novysil, G., Butler-Laporte, G., Shang, N., Wang, C., Khan, A., Alaamery, M., Nakanishi, T., Zhou, S., Forgetta, V., Eveleigh, R. J. M., Bourgey, M., Aziz, N., Jones, S. J. M., Knoppers, B., Scherer, S. W., Strug, L. J., Lepage, P., Ragoussis, J., Bourque, G., … Kiryluk, K. (2021). Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19. Journal of Clinical Investigation, 131(14), e147834. https://doi.org/10.1172/JCI147834

Nrabhu, K., Raza, A., Karedath, T., Raza, S., Fathima, H., Ahmed, E., Kuttikrishnan, S., Therachiyil, L., Kulinski, M., Dermime, S., Junejo, K., Steinhoff, M., & Uddin, S. (2020). Non-Coding RNAs as Regulators and Markers for Targeting of Breast Cancer and Cancer Stem Cells. Cancers, 12(2), 351. https://doi. org/10.3390/cancers12020351

Nreston F.G., Meng Y., Burgess J., Ferdousi M., Azmi S., Petropoulos I.N., Kaye S., Malik R.A., Zheng Y., Alam U. (2022). Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes. Diabetologia, 65(3)

Nrice D.R., Benedetti E., Hoffman K.L., GomezEscobar L., Alvarez-Mulett S., Capili A., Sarwath H., Parkhurst C.N., Lafond E., Weidman K., Ravishankar A., Cheong J.G., Batra R., Büyüközkan M., Chetnik K., Easthausen I., Schenck E.J., Racanelli A.C., Outtz Reed H., Laurence J., Josefowicz S.Z., Lief L., Choi M.E., Schmidt F., Borczuk A.C., Choi A.M.K., Krumsiek J., Rafii S. (2022). Angiopoietin 2 Is Associated with Vascular Necroptosis Induction in Coronavirus Disease 2019 Acute Respiratory Distress Syndrome. American Journal of Pathology, 192(7)

Nujol P., Vande Perre P., Faivre L., Sanlaville D., Corsini C., Baertschi B., Anahory M., Vaur D., Olschwang S., Soufir N., Bastide N., Amar S., Vintraud M., Ingster O., Richard S., Le Coz P., Spano J.-P., Caron O., Hammel P., Luporsi E., Toledano A., Rebillard X., Cambon-Thomsen A., Putois O., Rey J.M., Hervé C., Zorn C., Baudry K., Galibert V., Gligorov J., Azria D., Bressac-de Paillerets B., Burnichon N., Spielmann M., Zarca D., Coupier I., Cussenot O., Gimenez-Roqueplo A.-P., Giraud S., Lapointe A.-S., Niccoli P., Raingeard I., Le Bidan M., Frebourg T., Rafii A., Geneviève D. (2018). Guidelines for reporting secondary findings of genome sequencing in cancer genes: the SFMPP recommendations. European Journal of Human Genetics, 26(12)

Nannan A., Bejaoui Y., Izadi M., Yousri N.A., Razzaq

A., Christiansen C., Martin G.M., Bell J.T., Horvath S., Oshima J., Megarbane A., Ericsson J., Pourkarimi E., El Hajj N.(2023). Accelerated epigenetic aging and DNA methylation alterations in BerardinelliSeip congenital lipodystrophy.Human molecular genetics,32(11)

Noronfleh M.W., Chouchane L., Mifsud B., Al Emadi M., Ismail S. (2020). THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar. Life Sciences, Society and Policy, 16(1)

Noronfleh, M. W., Chouchane, L., Mifsud, B., Al Emadi, M., & Ismail, S. (2020). THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: Policy case study of Qatar. Life Sciences, Society and Policy, 16(1), 12. https://doi.org/10.1186/ s40504-020-00107-1

Nuell J.D., Römisch-Margl W., Haid M., Krumsiek J., Skurk T., Halama A., Stephan N., Adamski J., Hauner H., Mook-Kanamori D., Mohney R.P., Daniel H., Suhre K., Kastenmüller G. (2019). Characterization of bulk phosphatidylcholine compositions in human Plasma using Side-Chain resolving lipidomics. Metabolites, 9(6)

Nuerleu D., Darai E., Lecuru F., Rafii A., Chereau E., Collinet P., Crochet P., Marret H., Mery E., Thomas L., Villefranque V., Floquet A., Planchamp F. (2017). Primary management of endometrial carcinoma. Joint recommendations of the French society of gynecologic oncology (SFOG) and of the French college of obstetricians and gynecologists (CNGOF) [Prise en charge primaire des cancers de l›endomètre: recommandations SFOG-CNGOF]. Gynecologie Obstetrique Fertilite et Senologie, 45(12)

Rabbani, N., Adaikalakoteswari, A., Larkin, J. R., Panagiotopoulos, S., MacIsaac, R. J., Yue, D. K., Fulcher, G. R., Roberts, M. A., Thomas, M., Ekinci, E., & Thornalley, P. J. (2022). Analysis of Serum Advanced Glycation Endproducts Reveals Methylglyoxal-Derived Advanced Glycation MG-H1 Free Adduct Is a Risk Marker in Non-Diabetic and Diabetic Chronic Kidney Disease. International Journal of Molecular Sciences, 24(1), 152. https:// doi.org/10.3390/ijms24010152

Rabbani, N., Xue, M., Weickert, M. O., & Thornalley, P. J. (2021). Reversal of Insulin Resistance in Overweight and Obese Subjects by trans-Resveratrol and Hesperetin Combination—Link to Dysglycemia, Blood Pressure, Dyslipidemia, and Low-Grade

Inflammation. Nutrients, 13(7), Article 7. https://doi. org/10.3390/nu13072374

Rabionet, R., Remesal, A., Mensa-Vilaró, A., Murías, S., Alcobendas, R., González-Roca, E., Ruiz-Ortiz, E., Antón, J., Iglesias, E., Modesto, C., Comas, D., Puig, A., Drechsel, O., Ossowski, S., Yagüe, J., Merino, R., Estivill, X., & Arostegui, J. I. (2019). Biallelic lossof-function LACC1/FAMIN Mutations Presenting as Rheumatoid Factor-Negative Polyarticular Juvenile Idiopathic Arthritis. Scientific Reports, 9(1), 4579. https://doi.org/10.1038/s41598-019-40874-2

Raffler J., Friedrich N., Arnold M., Kacprowski T., Rueedi R., Altmaier E., Bergmann S., Budde K., Gieger C., Homuth G., Pietzner M., RömischMargl W., Strauch K., Völzke H., Waldenberger M., Wallaschofski H., Nauck M., Völker U., Kastenmüller G., Suhre K. (2015). Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality. PLoS Genetics, 11(9)

Raffler J., Römisch-Margl W., Petersen A.-K., Pagel P., Blöchl F., Hengstenberg C., Illig T., Meisinger C., Stark K., Wichmann H.-E., Adamski J., Gieger C., Kastenmüller G., Suhre K. (2013). Identification and MS-assisted interpretation of genetically influenced NMR signals in human plasma. Genome Medicine, 5(2)

Rafii A., Touboul C., Al Thani H., Suhre K., Malek J.A. (2014). Where cancer genomics should go next: A clinician›s perspective. Human Molecular Genetics, 23(R1)

Rafii A., Vidal F., Rathat G., Alix-Panabières C. (2014). Circulating tumor cells: Cornerstone of personalized medicine [Cellules tumorales circulantes: Pierre angulaire de la médecine personnalisée]. Journal de Gynecologie Obstetrique et Biologie de la Reproduction, 43(9)

Rahman M., Qureshi R., Bruginski E., Alazmi M., Soufan O., Biswas K.H., Alam T.(2023). Metabolomics of diabetes and cardiovascular disease.Metabolomics: A Path Towards Personalized Medicine.

Rakib, F., Al-Saad, K., Ustaoglu, S. G., Ullah, E., Mall, R., Thompson, R., Abdelalim, E. M., Ahmed, T., Severcan, F., & Ali, M. H. M. (2021). Fourier Transform Infrared Imaging—A Novel Approach to Monitor Bio Molecular Changes in Subacute Mild Traumatic Brain Injury. Brain Sciences, 11(7), Article 7 https://doi.org/10.3390/brainsci11070918

Ramanjaneya M., Butler A.E., Bashir M., Bettahi I., Moin A.S.M., Ahmed L., Elrayess M.A., Hunt S.C., Atkin S.L., Abou-Samra A.B. (2021). Apoa2 correlates to gestational age with decreased apolipoproteins a2, c1, c3 and e in gestational diabetes. BMJ Open Diabetes Research and Care, 9(1)

Rathore R., McCallum J.E., Varghese E., Florea A.M., Büsselberg D. (2017). Overcoming chemotherapy drug resistance by targeting inhibitors of apoptosis proteins (IAPs). Apoptosis, 22(7)

Razali R.M., Rodriguez-Flores J., Ghorbani M., Naeem H., Aamer W., Aliyev E., Jubran A., Ismail S.I., Al-Muftah W., Badji R., Mbarek H., Darwish D., Fadl T., Yasin H., Ennaifar M., Abdellatif R., Alkuwari F., Alvi M., Al-Sarraj Y., Saad C., Althani A., Fethnou E., Qafoud F., Alkhayat E., Afifi N., Tomei S., Liu W., Lorenz S., Syed N., Almabrazi H., Vempalli F.R., Temanni R., Saqri T.A., Khatib M., Hamza M., Zaid T.A., El Khouly A., Pathare T., Poolat S., Al-Ali R., Albagha O., Al-Khodor S., Alshafai M., Badii R., Chouchane L., Estivill X., Fakhro K.A., Mokrab Y., Puthen J.V., Suhre K., Tatari Z., Clark A.G., Fakhro K.A., Mokrab Y., Qatar Genome Program Research Consortium, Qatar Genome Project Management, Biobank and Sample Preparation, Sequencing and Genotyping group, Applied Bioinformatics Core, Data Management and Computing Infrastructure group, Consortium Lead Principal Investigators (2021). Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes. Nature Communications, 12(1)

Razali, R. M., Rodriguez-Flores, J., Ghorbani, M., Naeem, H., Aamer, W., Aliyev, E., Jubran, A., Qatar Genome Program Research Consortium, Qatar Genome Project Management, Ismail, S. I., Al-Muftah, W., Badji, R., Mbarek, H., Darwish, D., Fadl, T., Yasin, H., Ennaifar, M., Abdellatif, R., Alkuwari, F., … Mokrab, Y. (2021). Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes. Nature Communications, 12(1), 5929. https://doi. org/10.1038/s41467-021-25287-y

Razavi, H., Blach, S., Razavi-Shearer, D., Abaalkhail, F., Abbas, Z., ... & Remak, W. (2021). The case for simplifying and using absolute targets for viral hepatitis elimination goals. Journal of viral hepatitis, 28(1), 12-19.

Razzaq A., Bejaoui Y., Alam T., Saad M., El Hajj N.(2023). Ribosomal DNA Copy Number Variation is

144 145 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Coupled with DNA Methylation Changes at the 45S rDNA Locus.Epigenetics,18(1)

Reebye, V., Sætrom, P., Mintz, P. J., Rossi, J. J., Kasahara, N., Nteliopoulos, G., Nicholls, J., Haoudi, A., Gordon, M., & Habib, N. A. (2013). A Shortactivating RNA Oligonucleotide Targeting the Islet β -cell Transcriptional Factor MafA in CD34+ Cells. Molecular Therapy - Nucleic Acids, 2, e97. https:// doi.org/10.1038/mtna.2013.23

Riachi, M., Bas, F., Darendeliler, F., & Hussain, K. (2019). A novel 3’ untranslated region mutation in the SLC29A3 gene associated with pigmentary hypertrichosis and non-autoimmune insulindependent diabetes mellitus syndrome. Pediatric Diabetes, 20(4), 474–481. https://doi.org/10.1111/ pedi.12839

Riachi, M., Yilmaz, S., Kurnaz, E., Aycan, Z., Çetinkaya, S., Tranebjærg, L., Rendtorff, N. D., Bitner-Glindzicz, M., Bockenhauer, D., & Hussain, K. (2019). Functional assessment of variants associated with Wolfram syndrome. Human Molecular Genetics, 28(22), 3815–3824. https://doi.org/10.1093/hmg/ddz212

Ried J.S., Baurecht H., Stückler F., Krumsiek J., Gieger C., Heinrich J., Kabesch M., Prehn C., Peters A., Rodriguez E., Schulz H., Strauch K., Suhre K., Wang-Sattler R., Wichmann H.-E., Theis F.J., Illig T., Adamski J., Weidinger S. (2013). Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma. Allergy: European Journal of Allergy and Clinical Immunology, 68(5)

Ried J.S., Shin S.-Y., Krumsiek J., Illig T., Theis F.J., Spector T.D., Adamski J., Wichmann H.-E., Strauch K.Konstantin, Soranzo N., Suhre K.Karsten, Gieger C. (2014). Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses. Human Molecular Genetics, 23(21)

Robay A., Abbasi S., Akil A., El-Bardisi H., Arafa M., Crystal R.G., Fakhro K.A. (2018). A systematic review on the genetics of male infertility in the era of nextgeneration sequencing. Arab Journal of Urology, 16(1)

Rodriguez-Flores J.L., Fakhro K., Agosto-Perez F., Ramstetter M.D., Arbiza L., Vincent T.L., Robay A., Malek J.A., Suhre K., Chouchane L., Badii R., AlMarri A.A.-N., Khalil C.A., Zirie M., Jayyousi A., Salit J., Keinan A., Clark A.G., Crystal R.G., Mezey J.G.

(2016). Indigenous Arabs are descendants of the earliest split from ancient Eurasian populations. Genome Research, 26(2)

Rodriguez-Flores JL, Fakhro K, Hackett NR, Salit J, et al. Exome sequencing identifies potential risk variants for Mendelian disorders at high prevalence in Qatar. Hum Mutat. 2014 Jan;35(1):105-16. doi: 10.1002/humu.22460. Epub 2013 Nov 10. PMID: 24123366; PMCID: PMC3908915.

Rodriguez-Flores J.L., Messai-Badji R., Robay A., Temanni R., Syed N., Markovic M., Al-khayat E., Qafoud F., Nawaz Z., Badii R., Al-Sarraj Y., Mbarek H., Al-Muftah W., Alvi M., Rostami M.R., Cruzado J.C.M., Mezey J.G., Shakaki A.A., Malek J.A., Greenblatt M.B., Fakhro K.A., Machaca K., Al-Nabet A., Afifi N., Brooks A., Ismail S.I., Althani A., Crystal R.G. (2022). The QChip1 knowledgebase and microarray for precision medicine in Qatar. npj Genomic Medicine, 7(1). https://doi.org/10.1038/ s41525-021-00270-0

Roelands, J., Hendrickx, W., Zoppoli, G., Mall, R., Saad, M., Halliwill, K., Curigliano, G., Rinchai, D., Decock, J., Delogu, L. G., Turan, T., Samayoa, J., Chouchane, L., Ballestrero, A., Wang, E., Finetti, P., Bertucci, F., Miller, L. D., Galon, J., … Bedognetti, D. (2020). Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response. Journal for ImmunoTherapy of Cancer, 8(1), e000617. https://doi.org/10.1136/jitc-2020000617

Roelands, J., Mall, R., Almeer, H. et al. Ancestryassociated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry. npj Breast Cancer 7, 10 (2021). https://doi. org/10.1038/s41523-021-00215-x

Romdhane L., Mezzi N., Dallali H., Messaoud O., Shan J., Fakhro K.A., Kefi R., Chouchane L., Abdelhak S. (2021). A map of copy number variations in the Tunisian population: a valuable tool for medical genomics in North Africa. npj Genomic Medicine, 6(1)

Rossi, N., Aliyev, E., Visconti, A., Akil, A. S. A., Syed, N., Aamer, W., Padmajeya, S. S., Falchi, M., & Fakhro, K. A. (2021). Ethnic-specific association of amylase gene copy number with adiposity traits in a large Middle Eastern biobank. Npj Genomic Medicine, 6(1), 8. https://doi.org/10.1038/s41525021-00170-3

Rottiers V., Obad S., Petri A., McGarrah R., Lindholm M.W., Black J.C., Sinha S., Goody R.J., Lawrence M.S., DeLemos A.S., Hansen H.F., Whittaker S., Henry S., Brookes R., Najafi-Shoushtari S.H., Chung R.T., Whetstine J.R., Gerszten R.E., Kauppinen S., Näär A.M. (2013). Pharmacological inhibition of a microRNA family in nonhuman primates by a seedtargeting 8-mer antimiR. Science Translational Medicine, 5(212)

Rovida, A., Maccalli, C., Scarfò, L., Dellabona, P., Stamatopoulos, K., & Ghia, P. (2021). Exploiting B-cell Receptor Stereotypy to Design Tailored Immunotherapy in Chronic Lymphocytic Leukemia. Clinical Cancer Research, 27(3), 729–739. https://doi. org/10.1158/1078-0432.CCR-20-1632

Rui W.-S., Adam J., Brandmaier S., Leonhardt J., Scheerer M.F., Mohney R.P., Xu T., Bi J., Rotter M., Troll M., Chi S., Heier M., Herder C., Rathmann W., Giani G., Adamski J., Illig T., Strauch K., Li Y., Gieger C., Peters A., Suhre K., Ankerst D., Meitinger T., De Angelis M.H., Roden M., Neschen S., Kastenmüller G. (2016). Metformin effect on nontargeted metabolite profiles in patients with type 2 diabetes and in multiple murine tissues. Diabetes, 65(12)

Ruiz-Reig N., Chehade G., Hakanen J., Aittaleb M., Wierda K., De Wit J., Nguyen L., Gailly P., Tissir F.(2022). KIF2A deficiency causes early-onset neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America,119(46)

Ruiz-Reig N., García-Sánchez D., Schakman O., Gailly P., Tissir F.(2023). Inhibitory synapse dysfunction and epileptic susceptibility associated with KIF2A deletion in cortical interneurons. Frontiers in Molecular Neuroscience,15.

Saab, S., Chang, O. S.-S., Nagaoka, K., Hung, M.-C., & Yamaguchi, H. (2019). The potential role of YAP in Axl-mediated resistance to EGFR tyrosine kinase inhibitors. American Journal of Cancer Research, 9(12), 2719–2729. https://pubmed.ncbi.nlm.nih. gov/31911857/

Saad M, El-Menyar A, Kunji K, Ullah E, Al Suwaidi J, Kullo IJ. Validation of Polygenic Risk Scores for Coronary Heart Disease in a Middle Eastern Cohort Using Whole Genome Sequencing. Circ Genom Precis Med. 2022 Dec;15(6):e003712. doi: 10.1161/CIRCGEN.122.003712. Epub 2022 Oct 12. PMID: 36252120; PMCID: PMC9770120. https://doi. org/10.1161/CIRCGEN.122.003712

Saad M., Mokrab Y., Halabi N., Shan J., Razali R., Kunji K., Syed N., Temanni R., Subramanian M., Ceccarelli M., Rafii Tabrizi A., Bedognetti D., Chouchane L., Qatar Genome Programme Research Consortium (2022). Genetic predisposition to cancer across people of different ancestries in Qatar: a population-based, cohort study. The Lancet Oncology, 23(3)

Sadiq Z., Varghese E., Büsselberg D. (2020). Cisplatin›s dual-effect on the circadian clock triggers proliferation and apoptosis. Neurobiology of Sleep and Circadian Rhythms, 9()

Sadoun, E., Leventakou, V., Casas, M, et al. birth cohort study in the Middle East: The Qatari birth cohort study (QBiC) phase I. BMC Public Health 17, 836 (2017). https://doi.org/10.1186/s 12889-017-4848-9

Sakaue S., Hirata J., Kanai M., Suzuki K., Akiyama M., Lai Too C., Arayssi T., Hammoudeh M., Al Emadi S., Masri B.K., Halabi H., Badsha H., Uthman I.W., Saxena R., Padyukov L., Hirata M., Matsuda K., Murakami Y., Kamatani Y., Okada Y. (2020). Dimensionality reduction reveals finescale structure in the Japanese population with consequences for polygenic risk prediction. Nature Communications, 11(1)

Saleh, R., Sasidharan Nair, V., Al-Dhaheri, M., Khawar, M., Abu Nada, M., Alajez, N. M., & Elkord, E. (2020). RNA-Seq Analysis of Colorectal Tumor-Infiltrating Myeloid-Derived Suppressor Cell Subsets Revealed Gene Signatures of Poor Prognosis. Frontiers in Oncology, 10. https://doi. org/10.3389/fonc.2020.604906

Saleh, R., Sasidharan Nair, V., Murshed, K., Abu Nada, M., Elkord, E., & Shaheen, R. (2021). Transcriptome of CD8+ tumor-infiltrating T cells: A link between diabetes and colorectal cancer. Cancer Immunology, Immunotherapy, 70(9), 2625–2638. https://doi.org/10.1007/s00262-021-02879-7

Saleh, R., Sasidharan Nair, V., Toor, S. M., Taha, R. Z., Murshed, K., Al-Dhaheri, M., Khawar, M., Petkar, M. A., Abu Nada, M., Al-Ejeh, F., & Elkord, E. (2020). Differential gene expression of tumorinfiltrating CD8+ T cells in advanced versus earlystage colorectal cancer and identification of a gene signature of poor prognosis. Journal for Immunotherapy of Cancer, 8(2), e001294. https://

146 147
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

doi.org/10.1136/jitc-2020-001294

Saleh, R., Taha, R. Z., Sasidharan Nair, V., Alajez, N. M., & Elkord, E. (2019). PD-L1 Blockade by Atezolizumab Downregulates Signaling Pathways Associated with Tumor Growth, Metastasis, and Hypoxia in Human Triple Negative Breast Cancer. Cancers, 11(8), Article 8. https://doi.org/10.3390/ cancers11081050

Saleh, R., Taha, R. Z., Sasidharan Nair, V., Toor, S. M., Alajez, N. M., & Elkord, E. (2021). Transcriptomic Profiling of Circulating HLA-DR– Myeloid Cells, Compared with HLA-DR+ Myeloid Antigenpresenting Cells. Immunological Investigations, 50(8), 952–963. https://doi.org/10.1080/08820139.20 20.1795875

Saleh, R., Taha, R. Z., Toor, S. M., Sasidharan Nair, V., Murshed, K., Khawar, M., Al-Dhaheri, M., Petkar, M. A., Abu Nada, M., & Elkord, E. (2020). Expression of immune checkpoints and T cell exhaustion markers in early and advanced stages of colorectal cancer. Cancer Immunology, Immunotherapy, 69(10), 1989–1999. https://doi.org/10.1007/s00262-020-02593-w

Saleh, R., Toor, S. M., Al-Ali, D., Sasidharan Nair, V., & Elkord, E. (2020). Blockade of PD-1, PD-L1, and TIM-3 Altered Distinct Immune- and Cancer-Related Signaling Pathways in the Transcriptome of Human Breast Cancer Explants. Genes, 11(6), Article 6. https://doi.org/10.3390/genes11060703

Saleh, R., Toor, S. M., Khalaf, S., & Elkord, E. (2019). Breast Cancer Cells and PD-1/PD-L1 Blockade Upregulate the Expression of PD-1, CTLA-4, TIM-3 and LAG-3 Immune Checkpoints in CD4+ T Cells. Vaccines, 7(4), Article 4. https://doi.org/10.3390/ vaccines7040149

Saleh, R., Toor, S. M., Taha, R. Z., Al-Ali, D., Sasidharan Nair, V., & Elkord, E. (2020). DNA methylation in the promoters of PD-L1, MMP9, ARG1, galectin-9, TIM-3, VISTA and TGF-β genes in HLA-DR– myeloid cells, compared with HLADR+ antigen-presenting cells. Epigenetics, 15(12), 1275–1288. https://doi.org/10.1080/15592294.2020.1 767373

Salim S., Ahmad F., Banu A., Mohammad F.(2023). Gut microbiome and Parkinson›s disease: Perspective on pathogenesis and treatment.Journal of Advanced Research,50.

Salim S., Hussain S., Banu A., Gowda S.B.M., Ahammad F., Alwa A., Pasha M., Mohammad F.(2023). The ortholog of human ssDNA-binding

protein SSBP3 influences neurodevelopment and autism-like behaviors in Drosophila melanogaster. PLoS Biology,21(7)

Salloum-Asfar S., Engelke R., Mousa H., Goswami N., Thompson I.R., Palangi F., Kamal K., Al-Noubi M.N., Schmidt F., Abdulla S.A., Emara M.M. (2021). Hyperosmotic Stress Induces a Specific Pattern for Stress Granule Formation in Human-Induced Pluripotent Stem Cells. Stem Cells International, 2021

Salloum-Asfar, S., Abdulla, S. A., Taha, R. Z., Thompson, I. R., & Emara, M. M. (2022). Combined Noncoding RNA-mRNA Regulomics Signature in Reprogramming and Pluripotency in iPSCs. Cells, 11(23), Article 23. https://doi.org/10.3390/ cells11233833

Salloum-Asfar, S., Elsayed, A. K., Elhag, S. F., & Abdulla, S. A. (2021). Circulating Non-Coding RNAs as a Signature of Autism Spectrum Disorder Symptomatology. International Journal of Molecular Sciences, 22(12), Article 12. https://doi.org/10.3390/ ijms22126549

Salloum-Asfar, S., Engelke, R., Mousa, H., Goswami, N., Thompson, I. R., Palangi, F., Kamal, K., Al-Noubi, M. N., Schmidt, F., Abdulla, S. A., & Emara, M. M. (2021). Hyperosmotic Stress Induces a Specific Pattern for Stress Granule Formation in Human-Induced Pluripotent Stem Cells. Stem Cells International, 2021, 8274936. https://doi. org/10.1155/2021/8274936

Samaan T.M.A., Samec M., Liskova A., Kubatka P., Büsselberg D. (2019). Paclitaxel’s mechanistic and clinical effects on breast cancer. Biomolecules, 9(12)

Samec M., Liskova A., Koklesova L., Mersakova S., Strnadel J., Kajo K., Pec M., Zhai K., Smejkal K., Mirzaei S., Hushmandi K., Ashrafizadeh M., Saso L., Brockmueller A., Shakibaei M., Büsselberg D., Kubatka P. (2021). Flavonoids targeting HIF-1: Implications on cancer metabolism. Cancers, 13(1)

Samec M., Liskova A., Koklesova L., Mestanova V., Franekova M., Kassayova M., Bojkova B., Uramova S., Zubor P., Janikova K., Danko J., Samson Mathews S., Büsselber D., Kubatka P. (2019). Fluctuations of histone chemical modifications in breast, prostate, and colorectal cancer: An implication of phytochemicals as defenders of chromatin equilibrium. Biomolecules, 9(12)

Samec M., Liskova A., Koklesova L., Samuel S.M.,

Murin R., Zubor P., Bujnak J., Kwon T.K., Büsselberg D., Prosecky R., Caprnda M., Rodrigo L., Ciccocioppo R., Kruzliak P., Kubatka P. (2020). The role of plantderived natural substances as immunomodulatory agents in carcinogenesis. Journal of Cancer Research and Clinical Oncology, 146(12)

Samec M., Liskova A., Koklesova L., Samuel S.M., Zhai K., Buhrmann C., Varghese E., Abotaleb M., Qaradakhi T., Zulli A., Kello M., Mojzis J., Zubor P., Kwon T.K., Shakibaei M., Büsselberg D., Sarria G.R., Golubnitschaja O., Kubatka P. (2020). Flavonoids against the Warburg phenotype—concepts of predictive, preventive and personalised medicine to cut the Gordian knot of cancer cell metabolism.

EPMA Journal, 11(3)

Samec M., Liskova A., Koklesova L., Zhai K., Varghese E., Samuel S.M., Šudomová M., Lucansky V., Kassayova M., Pec M., Biringer K., Brockmueller A., Kajo K., Hassan S.T.S., Shakibaei M., Golubnitschaja O., Büsselberg D., Kubatka P. (2021). Metabolic anti-cancer effects of melatonin: Clinically relevant prospects. Cancers, 13(12)

Samec M., Liskova A., Kubatka P., Uramova S., Zubor P., Samuel S.M., Zulli A., Pec M., Bielik T., Biringer K., Kudela E., Benacka J., Adamek M., Rodrigo L., Ciccocioppo R., Kwon T.K., Baranenko D., Kruzliak P., Büsselberg D. (2019). The role of dietary phytochemicals in the carcinogenesis via the modulation of miRNA expression. Journal of Cancer Research and Clinical Oncology, 145(7)

Samec M., Mazurakova A., Lucansky V., Koklesova L., Pecova R., Pec M., Golubnitschaja O., Al-Ishaq R.K., Caprnda M., Gaspar L., Prosecky R., Gazdikova K., Adamek M., Büsselberg D., Kruzliak P., Kubatka P. (2023). Flavonoids attenuate cancer metabolism by modulating Lipid metabolism, amino acids, ketone bodies and redox state mediated by Nrf2. European Journal of Pharmacology, 949

Samuel S.M., Varghese E., Büsselberg D. (2021). Therapeutic Potential of Metformin in COVID-19: Reasoning for Its Protective Role. Trends in Microbiology, 29(10)

Samuel S.M., Varghese E., Koklesová L., Líšková A., Kubatka P., Büsselberg D. (2020). Counteracting chemoresistance with metformin in breast cancers: Targeting cancer stem cells. Cancers, 12(9)

Samuel S.M., Varghese E., Kubatka P., Triggle C.R., Büsselberg D. (2019). Metformin: The answer to cancer in a flower? current knowledge and future prospects of metformin as an anti-cancer agent in

breast cancer. Biomolecules, 9(12)

Samuel S.M., Varghese E., Varghese S., Büsselberg D. (2018). Challenges and perspectives in the treatment of diabetes associated breast cancer. Cancer Treatment Reviews, 70

Sankaranarayanan A., Malik R.A. (2017). Can corneal confocal microscopy help in early detection of neuronal damage and cognitive dysfunction as a consequence of metabolic syndrome in schizophrenia?. Early Intervention in Psychiatry, 11(3)

Sarwath H., Bansal D., Husain N.E., Mohamed M., Sultan A.A., Bedri S. (2017). Introduction of p16INK4a as a surrogate biomarker for HPV in women with invasive cervical cancer in Sudan. Infectious Agents and Cancer, 12(1)

Sasidharan Nair, V., El Salhat, H., Taha, R. Z., John, A., Ali, B. R., & Elkord, E. (2018). DNA methylation and repressive H3K9 and H3K27 trimethylation in the promoter regions of PD-1, CTLA-4, TIM-3, LAG-3, TIGIT, and PD-L1 genes in human primary breast cancer. Clinical Epigenetics, 10(1), 78. https://doi. org/10.1186/s13148-018-0512-1

Sasidharan Nair, V., Toor, S. M., Ali, B. R., & Elkord, E. (2018). Dual inhibition of STAT1 and STAT3 activation downregulates expression of PD-L1 in human breast cancer cells. Expert Opinion on Therapeutic Targets, 22(6), 547–557. https://doi.org/ 10.1080/14728222.2018.1471137

Sasidharan Nair, V., Toor, S. M., Taha, R. Z., Shaath, H., & Elkord, E. (2018). DNA methylation and repressive histones in the promoters of PD-1, CTLA4, TIM-3, LAG-3, TIGIT, PD-L1, and galectin-9 genes in human colorectal cancer. Clinical Epigenetics, 10(1), 104. https://doi.org/10.1186/s13148-018-0539-3

Sastry, K. S., Naeem, H., Mokrab, Y., & Chouchane, A. I. (2019). RNA-seq Reveals Dysregulation of Novel Melanocyte Genes upon Oxidative Stress: Implications in Vitiligo Pathogenesis. Oxidative Medicine and Cellular Longevity, 2019, 1–15. https:// doi.org/10.1155/2019/2841814

Satheesh N.J., Büsselberg D. (2015). The role of intracellular calcium for the development and treatment of neuroblastoma. Cancers, 7(2)

Satheesh N.J., Samuel S.M., Büsselberg D. (2020). Combination therapy with vitamin C could eradicate cancer stem cells. Biomolecules, 10(1)

148 149 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

Satheesh N.J., Uehara Y., Fedotova J., Pohanka M., Büsselberg D., Kruzliak P. (2016). TRPV currents and their role in the nociception and neuroplasticity. Neuropeptides, 57

Sathiyanathan, P., Samsonraj, R. M., Tan, C. L. L., Ling, L., Lezhava, A., Nurcombe, V., Stanton, L. W., & Cool, S. M. (2020). A genomic biomarker that identifies human bone marrow-derived mesenchymal stem cells with high scalability. STEM CELLS, 38(9), 1124–1136. https://doi.org/10.1002/ stem.3203

Saththasivam J., El-Malah S.S., Gomez T.A., Jabbar K.A., Remanan R., Krishnankutty A.K., Ogunbiyi O., Rasool K., Ashhab S., Rashkeev S., Bensaad M., Ahmed A.A., Mohamoud Y.A., Malek J.A., Abu Raddad L.J., Jeremijenko A., Abu Halaweh H.A., Lawler J., Mahmoud K.A. (2021). COVID-19 (SARSCoV-2) outbreak monitoring using wastewaterbased epidemiology in Qatar. Science of the Total Environment, 774

Sathyapalan T., Aye M., Rigby A.S., Fraser W.D., Thatcher N.J., Kilpatrick E.S., Atkin S.L. (2017). Soy Reduces Bone Turnover Markers in Women During Early Menopause: A Randomized Controlled Trial. Journal of Bone and Mineral Research, 32(1)

Sathyapalan T., Thatcher N.J., Hammersley R., Rigby A.S., Pechlivanis A., Gooderham N.J., Holmes E., Le Roux C.W., Atkin S.L., Courts F. (2015). Aspartame sensitivity? A double blind randomised crossover study. PLoS ONE, 10(3)

Saulnier-Blache J.S., Wilson R., Klavins K., Graham D., Alesutan I., Kastenmüller G., Wang-Sattler R., Adamski J., Roden M., Rathmann W., Seissler J., Meisinger C., Koenig W., Thiery J., Suhre K., Peters A., Kuro-O M., Lang F., Dallmann G., Delles C., Voelkl J., Waldenberger M., Bascands J.-L., Klein J., Schanstra J.P. (2018). Ldlr− / − and ApoE− / − mice better mimic the human metabolite signature of increased carotid intima media thickness compared to other animal models of cardiovascular disease.

Atherosclerosis, 276

Sayaman, R. W., Saad, M., Heimann, C., Hu, D., Kunji, K., Roelands, J., Wolf, D. M., Huntsman, S., Ceccarelli, M., Thorsson, V., Ziv, E., & Bedognetti, D. (2022). Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors. STAR Protocols, 3(4), 101809. https://doi.org/10.1016/j.xpro.2022.101809

Schlosser P., Li Y., Sekula P., Raffler J., GrundnerCulemann F., Pietzner M., Cheng Y., Wuttke M., Steinbrenner I., Schultheiss U.T., Kotsis F., Kacprowski T., Forer L., Hausknecht B., Ekici A.B., Nauck M., Völker U., Walz G., Oefner P.J., Kronenberg F., Mohney R.P., Köttgen M., Suhre K., Eckardt K.-U., Kastenmüller G., Köttgen A., GCKD Investigators (2020). Genetic studies of urinary metabolites illuminate mechanisms of detoxification and excretion in humans. Nature Genetics, 52(2)

Schmidt, F., Abdesselem, H. B., Suhre, K., Vaikath, N. N., Sohail, M. U., Al-Nesf, M., Bensmail, I., Mashod, F., Sarwath, H., Bernhardt, J., SchaeferRamadan, S., Tan, T.-M., Morris, P. E., Schenck, E. J., Price, D., Mohamed-Ali, V., Al-Maadheed, M., Arredouani, A., Decock, J., … El-Agnaf, O. M. (2023). Auto-immunoproteomics analysis of COVID-19 ICU patients revealed increased levels of autoantibodies related to the male reproductive system. Frontiers in Physiology, 14. https://doi.org/10.3389/ fphys.2023.1203723

Schmidt F., Kakar N., Meyer T.C., Depke M., Masouris I., Burchhardt G., Gómez-Mejia A., Dhople V., Håvarstein L.S., Sun Z., Moritz R.L., Völker U., Koedel U., Hammerschmidt S. (2019). In vivo proteomics identifies the competence regulon and AliB oligopeptide transporter as pathogenic factors in pneumococcal meningitis. PLoS Pathogens, 15(7)

Schramm K., Marzi C., Schurmann C., Carstensen M., Reinmaa E., Biffar R., Eckstein G., Gieger C., Grabe H.-J., Homuth G., Kastenmüller G., Mägi R., Metspalu A., Mihailov E., Peters A., Petersmann A., Roden M., Strauch K., Suhre K., Teumer A., Völker U., Völzke H., Wang-Sattler R., Waldenberger M., Meitinger T., Illig T., Herder C., Grallert H., Prokisch H. (2014). Mapping the genetic architecture of gene regulation in whole blood. PLoS ONE, 9(4)

Schulte E.C., Altmaier E., Berger H.S., Do K.T., Kastenmüller G., Wahl S., Adamski J., Peters A., Krumsiek J., Suhre K., Haslinger B., CeballosBaumann A., Gieger C., Winkelmann J. (2016). Alterations in lipid and inositol metabolisms in two dopaminergic disorders. PLoS ONE, 11(1)

Seinen J., Engelke R., Abdullah M.R., Voß F., Michalik S., Dhople V.M., Dieperink W., de Smet A.M.G.A., Völker U., van Dijl J.M., Schmidt F., Hammerschmidt S. (2021). Sputum proteome signatures of mechanically ventilated intensive care unit patients distinguish samples with or without anti-pneumococcal activity. mSystems, 6(2)

Sekula P., Dettmer K., Vogl F.C., Gronwald W., Ellmann L., Mohney R.P., Eckardt K.-U., Suhre K., Kastenmüller G., Oefner P.J., Köttgen A. (2017). From Discovery to Translation: Characterization of C-Mannosyltryptophan and Pseudouridine as Markers of Kidney Function. Scientific Reports, 7(1)

Sekula P., Goek O.-N., Quaye L., Barrios C., Levey A.S., Römisch-Margl W., Menni C., Yet I., Gieger C., Inker L.A., Gronwald W., Illig T., Dettmer K., Krumsiek J., Oefner P.J., Valdes A.M., Meisinger C., Coresh J., Spector T.D., Mohney R.P., Suhre K., Kastenmüller G., Köttgen A. (2016). A metabolomewide association study of kidney function and disease in the general population. Journal of the American Society of Nephrology, 27(4)

Serra, E. G., Schwerd, T., Moutsianas, L., Cavounidis, A., Fachal, L., Pandey, S., Kammermeier, J., Croft, N. M., Posovszky, C., Rodrigues, A., Russell, R. K., Barakat, F., Auth, M. K. H., Heuschkel, R., Zilbauer, M., Fyderek, K., Braegger, C., Travis, S. P., Satsangi, J., … Anderson, C. A. (2020). Somatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease. Nature Communications, 11(1), 995. https://doi. org/10.1038/s41467-019-14275-y

Servellita, V., Bouquet, J., Rebman, A., Yang, T., Samayoa, E., Miller, S., Stone, M., Lanteri, M., Busch, M., Tang, P., Morshed, M., Soloski, M. J., Aucott, J., & Chiu, C. Y. (2022). A diagnostic classifier for gene expression-based identification of early Lyme disease. Communications Medicine, 2(1), 92. https:// doi.org/10.1038/s43856-022-00127-2

Shaath H, Vishnubalaji R, Elango R, Khattak S, Alajez NM. Single-cell long noncoding RNA (lncRNA) transcriptome implicates MALAT1 in triple-negative breast cancer (TNBC) resistance to neoadjuvant chemotherapy. Cell Death Discov. 2021 Jan 25;7(1):23. doi: 10.1038/s41420-020-00383-y. PMID: 33495450; PMCID: PMC7835365.

Shaath, H., & Alajez, N. M. (2020). Computational and Transcriptome Analyses Revealed Preferential Induction of Chemotaxis and Lipid Synthesis by SARS-CoV-2. Biology, 9(9), Article 9. https://doi. org/10.3390/biology9090260

Shaath, H., & Alajez, N. M. (2021). Identification of PBMC-based molecular signature associational with COVID-19 disease severity. Heliyon, 7(5), e06866. https://doi.org/10.1016/j.heliyon.2021.e06866

Shaath, H., Elango, R., & Alajez, N. M. (2021). Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for TripleNegative Breast Cancer. Cancers, 13(21), Article 21. https://doi.org/10.3390/cancers13215350

Shaath, H., Toor, S. M., Nada, M. A., Elkord, E., & Alajez, N. M. (2021). Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer. Scientific Reports, 11(1), Article 1. https://doi.org/10.1038/s41598-02193531-y

Shaath, H., Toor, S. M., Nair, V. S., Elkord, E., & Alajez, N. M. (2019). Transcriptomic Analyses Revealed Systemic Alterations in Gene Expression in Circulation and Tumor Microenvironment of Colorectal Cancer Patients. Cancers, 11(12), E1994. https://doi.org/10.3390/cancers11121994

Shaath, H., Vishnubalaji, R., Elango, R., Khattak, S., & Alajez, N. M. (2021). Single-cell long noncoding RNA (lncRNA) transcriptome implicates MALAT1 in triple-negative breast cancer (TNBC) resistance to neoadjuvant chemotherapy. Cell Death Discovery, 7(1), Article 1. https://doi.org/10.1038/s41420-02000383-y

Shaath, H., Vishnubalaji, R., Elango, R., Velayutham, D., Jithesh, P. V., & Alajez, N. M. (2023). Therapeutic targeting of the TPX2/TTK network in colorectal cancer. Cell Communication and Signaling, 21(1), 265. https://doi.org/10.1186/s12964-023-01290-2

Shaath, H., Vishnubalaji, R., Elkord, E., & Alajez, N. M. (2020). Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19. Cells, 9(11), Article 11. https://doi. org/10.3390/cells9112374

Shaheen, R., Alsahli, S., Ewida, N., Alzahrani, F., Shamseldin, H. E., Patel, N., Al Qahtani, A., Alhebbi, H., Alhashem, A., Al-Sheddi, T., Alomar, R., Alobeid, E., Abouelhoda, M., Monies, D., AlHussaini, A., Alzouman, M. A., Shagrani, M., Faqeih, E., & Alkuraya, F. S. (2020). Biallelic Mutations in Tetratricopeptide Repeat Domain 26 (Intraflagellar Transport 56) Cause Severe Biliary Ciliopathy in Humans. Hepatology, 71(6), 2067–2079. https://doi. org/10.1002/hep.30982

Shaheen S., Fawaz F., Shah S., Büsselberg D. (2018). Differential expression and pathway analysis in drug-resistant triple-negative breast cancer cell

150 151
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

lines using RNASeq analysis. International Journal of Molecular Sciences, 19(6)

Shalaby K.E., Aouida M., Gupta V., Abdesselem H., El-Agnaf O.M.A.(2022). Development of non-viral vectors for neuronal-targeted delivery of CRISPRCas9 RNA-proteins as a therapeutic strategy for neurological disorders.Biomaterials Science,10(17)

Shalaby, K. E., Aouida, M., Gupta, V., Ghanem, S. S., & El-Agnaf, O. M. A. (2022). Rapid Assessment of CRISPR Transfection Efficiency and Enrichment of CRISPR Induced Mutations Using a Dual-Fluorescent Stable Reporter System. Frontiers in Genome Editing, 4. https://doi.org/10.3389/fgeed.2022.854866

Shan J., Al-Rumaihi K., Chouchane K., Al-Bozom I., Rabah D., Farhat K., Chouchane L. (2017). Prostate cancer small non-coding RNA transcriptome in Arabs. Journal of Translational Medicine, 15(1)

Shan J., Chouchane A., Mokrab Y., Saad M., Boujassoum S., Sayaman R.W., Ziv E., Bouaouina N., Remadi Y., Gabbouj S., Roelands J., Ma X., Bedognetti D., Chouchane L. (2019). Genetic Variation in CCL5 Signaling Genes and Triple Negative Breast Cancer: Susceptibility and Prognosis Implications. Frontiers in Oncology, 9()

Shan J., DSouza S.P., Bakhru S., Al-Azwani E.K., Ascierto M.L., Sastry K.S., Bedri S., Kizhakayil D., Aigha I.I., Malek J., Al-Bozom I., Gehani S., Furtado S., Mathiowitz E., Wang E., Marincola F.M., Chouchane L. (2013). TNRC9 downregulates BRCA1 expression and promotes breast cancer aggressiveness. Cancer Research, 73(9)

Shan J., Mahfoudh W., Dsouza S.P., Hassen E., Bouaouina N., Abdelhak S., Benhadjayed A., Memmi H., Mathew R.A., Aigha I.I., Gabbouj S., Remadi Y., Chouchane L. (2012). Genome-Wide Association Studies (GWAS) breast cancer susceptibility loci in Arabs: Susceptibility and prognostic implications in Tunisians. Breast Cancer Research and Treatment, 135(3)

Shan J., Megarbane A., Chouchane A., Karthik D., Temanni R., Romero A.R., Hua H., Pan C., Chen X., Subramanian M., Saad C., Mbarek H., Mehawej C., Chouery E., Abuaqel S.W., Dömling A., Remadi S., Yaghi C., Li P., Chouchane L. (2023). Genetic predisposition to porto-sinusoidal vascular disorder: A functional genomic-based, multigenerational family study. Hepatology, 77(2). https://doi. org/10.3389/fonc.2019.01328

Sharapov S.Zh., Tsepilov Y.A., Klaric L., Mangino M., Thareja G., Shadrina A.S., Simurina M., Dagostino C., Dmitrieva J., Vilaj M., Vuckovic F., Pavic T., Stambuk J., Trbojevic-Akmacic I., Kristic J., Simunovic J., Momcilovic A., Campbell H., Doherty M., Dunlop M.G., Farrington S.M., Pucic-Bakovic M., Gieger C., Allegri M., Louis E., Georges M., Suhre K., Spector T., Williams F.M.K., Lauc G., Aulchenko Y.S. (2019). Defining the genetic control of human blood plasma N-glycome using genome-wide association study. Human Molecular Genetics, 28(12)

Sharari S., Kabeer B., Mohammed I., Haris B., Pavlovski I., Hawari I., Bhat A.A., Toufiq M., Tomei S., Mathew R., Syed N., Nisar S., Maacha S., Grivel J.-C., Chaussabel D., Ericsson J., Hussain K.(2022). Understanding the Role of GLUT2 in Dysglycemia Associated with Fanconi–Bickel Syndrome. Biomedicines,10(9)

Sharari, S., Vaikath, N. N., Tsakou, M., Ghanem, S. S., & Vekrellis, K. (2023). Screening for Novel Inhibitors of Amyloid Beta Aggregation and Toxicity as Potential Drugs for Alzheimer’s Disease.

International Journal of Molecular Sciences, 24(14), Article 14. https://doi.org/10.3390/ijms241411326

Sharifinejad, N., Jamee, M., Zaki-Dizaji, M., Lo, B., Shaghaghi, M., Mohammadi, H., Jadidi-Niaragh, F., Shaghaghi, S., Yazdani, R., Abolhassani, H., Aghamohammadi, A., & Azizi, G. (2020). Clinical, Immunological, and Genetic Features in 49 Patients With ZAP-70 Deficiency: A Systematic Review. Frontiers in Immunology, 11, 831. https://doi. org/10.3389/fimmu.2020.00831

Sharma, T., Gupta, A., Chauhan, R., Bhat, A. A., Nisar, S., Hashem, S., ... & Uddin, S. (2022). Cross-talk between the microbiome and chronic inflammation in esophageal cancer: Potential driver of oncogenesis. Cancer and Metastasis Reviews, 41(2), 281-299.

Sher, G., Masoodi, T., Patil, K., Akhtar, S., Kuttikrishnan, S., Ahmad, A., & Uddin, S. (2022). Dysregulated FOXM1 signaling in the regulation of cancer stem cells. Seminars in Cancer Biology, 86, 107–121. https://doi.org/10.1016/j. semcancer.2022.07.009

Sher, G., Salman, N. A., Khan, A. Q., Prabhu, K. S., Raza, A., Kulinski, M., Dermime, S., Haris, M., Junejo, K., & Uddin, S. (2022). Epigenetic and breast cancer therapy: Promising diagnostic and therapeutic applications. Seminars in Cancer Biology, 83, 152–165. https://doi.org/10.1016/j.

semcancer.2020.08.009

Sherif, M., Demirbilek, H., Çayır, A., Tahir, S., Çavdarlı, B., Demiral, M., Cebeci, A. N., Vurallı, D., Rahman, S. A., Unal, E., Büyükyılmaz, G., Baran, R. T., Özbek, M. N., & Hussain, K. (2021). Identification of Three Novel and One Known Mutation in the WFS1 Gene in Four Unrelated Turkish Families: The Role of Homozygosity Mapping in the Early Diagnosis. Journal of Clinical Research in Pediatric Endocrinology, 13(1), 34–43. https://doi.org/10.4274/ jcrpe.galenos.2020.2020.0152

Sherif S., Roelands J., Mifsud W., Ahmed E.I., Raynaud C.M., Rinchai D., Sathappan A., Maaz A., Saleh A., Ozer E., Fakhro K.A., Mifsud B., Thorsson V., Bedognetti D., Hendrickx W.R.L.(2022). The immune landscape of solid pediatric tumors.Journal of Experimental and Clinical Cancer Research,41(1)

Shi M., Han S., Klier K., Fobo G., Montrone C., Yu S., Harada M., Henning A.-K., Friedrich N., Bahls M., Dörr M., Nauck M., Völzke H., Homuth G., Grabe H.J., Prehn C., Adamski J., Suhre K., Rathmann W., Ruepp A., Hertel J., Peters A., Wang-Sattler R. (2023). Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts. Cardiovascular Diabetology, 22(1)

Shin, K. C., Ali, G., Ali Moussa, H. Y., Gupta, V., de la Fuente, A., Kim, H.-G., Stanton, L. W., & Park, Y. (2023). Deletion of TRPC6, an Autism Risk Gene, Induces Hyperexcitability in Cortical Neurons Derived from Human Pluripotent Stem Cells. Molecular Neurobiology. https://doi.org/10.1007/ s12035-023-03527-0

Shin S.-Y., Fauman E.B., Petersen A.-K., Krumsiek J., Santos R., Huang J., Arnold M., Erte I., Forgetta V., Yang T.-P., Walter K., Menni C., Chen L., Vasquez L., Valdes A.M., Hyde C.L., Wang V., Ziemek D., Roberts P., Xi L., Grundberg E., Waldenberger M., Richards J.B., Mohney R.P., Milburn M.V., John S.L., Trimmer J., Theis F.J., Overington J.P., Suhre K., Brosnan M.J., Gieger C., Kastenmüller G., Spector T.D., Soranzo N. (2014). An atlas of genetic influences on human blood metabolites. Nature Genetics, 46(6)

Shin S.-Y., Petersen A.-K., Wahl S., Zhai G., RömischMargl W., Small K.S., Döring A., Kato B.S., Peters A., Grundberg E., Prehn C., Wang-Sattler R., Wichmann H.-E., de Angelis M.H., Illig T., Adamski J., Deloukas P., Spector T.D., Suhre K., Gieger C., Soranzo N. (2014). Interrogating causal pathways linking genetic variants, small molecule metabolites, and

circulating lipids. Genome Medicine, 6(3)

Shrine, N., Izquierdo, A. G., Chen, J., Packer, R., Hall, R. J., Guyatt, A. L., ... & Consortium Lead Principal Investigators Al-Khodor Souhaila 124 Alshafai Mashael 125 Badii Ramin 126 Chouchane Lotfi

Estivill Xavier 128 Fakhro Khalid 129

Mokrab Younes

Puthen Jithesh V. 131 Tatari Zohreh 134. (2023). Multiancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. Nature genetics, 55(3), 410-422.

Shurbaji, S., Manaph, N. P. A., Ltaief, S. M., AlShammari, A. R., Elzatahry, A., & Yalcin, H. C. (2021). Characterization of MXene as a Cancer Photothermal Agent Under Physiological Conditions. Frontiers in Nanotechnology, 3. https://doi. org/10.3389/fnano.2021.689718

Sid Ahmed M.A., Abdel Hadi H., Hassan A.A.I., Abu Jarir S., Al-Maslamani M.A., Eltai N.O., Dousa K.M., Hujer A.M., Sultan A.A., Soderquist B., Bonomo R.A., Ibrahim E.B., Jass J., Omrani A.S. (2019). Evaluation of in vitro activity of ceftazidime/avibactam and ceftolozane/tazobactam against MDR Pseudomonas aeruginosa isolates from Qatar. Journal of Antimicrobial Chemotherapy, 74(12)

Siddiqui M., Abdellatif B., Zhai K., Liskova A., Kubatka P., Büsselberg D. (2021). Flavonoids alleviate peripheral neuropathy induced by anticancer drugs. Cancers, 13(7)

Singh, A., Debnath, A., Cai, K., Bagga, P., Haris, M., Hariharan, H., & Reddy, R. (2019). Evaluating the feasibility of creatine-weighted CEST MRI in human brain at 7 T using a Z-spectral fitting approach. NMR in Biomedicine, 32(12), e4176.

Singh, P., Kumar, M., & Al Khodor, S. (2019). Vitamin D Deficiency in the Gulf Cooperation Council: Exploring the Triad of Genetic Predisposition, the Gut Microbiome and the Immune System. Frontiers in Immunology, 10, 1042. https://doi.org/10.3389/ fimmu.2019.01042

Siveen, K. S., Nizamuddin, P. B., Uddin, S., Al-Thani, M., Frenneaux, M. P., Janahi, I. A., Steinhoff, M., & Azizi, F. (2020). TRPV2: A Cancer Biomarker and Potential Therapeutic Target. Disease Markers, 2020, 1–10. https://doi.org/10.1155/2020/8892312

Siveen, K. S., Prabhu, K. S., Parray, A. S., Merhi, M., Arredouani, A., Chikri, M., Uddin, S., Dermime,

152 153 Transforming the Future of Healthcare in Qatar
131 132
129 130 131 133
127
130
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

S., Mohammad, R. M., Steinhoff, M., Janahi, I. A., & Azizi, F. (2019). Evaluation of cationic channel TRPV2 as a novel biomarker and therapeutic target in Leukemia-Implications concerning the resolution of pulmonary inflammation. Scientific Reports, 9(1), 1554. https://doi.org/10.1038/s41598-018-37469-8

Skariah S., Walwyn O., Engelberg K., Gubbels M.-J., Gaylets C., Kim N., Lynch B., Sultan A., Mordue D.G. (2016). The FIKK kinase of Toxoplasma gondii is not essential for the parasite›s lytic cycle. International Journal for Parasitology, 46(45052)

Skelton R.J.P., Costa M., Anderson D.J., Bruveris F., Finnin B.W., Koutsis K., Arasaratnam D., White A.J., Rafii A., Ng E.S., Elefanty A.G., Stanley E.G., Pouton C.W., Haynes J.M., Ardehali R., Davis R.P., Mummery C.L., Elliott D.A. (2014). SIRPA, VCAM1 and CD34 identify discrete lineages during early human cardiovascular development. Stem Cell Research, 13(1)

Ślęczkowska M., Almomani R., Marchi M., de Greef B.T.A., Sopacua M., Hoeijmakers J.G.J., Lindsey P., Salvi E., Bönhof G.J., Ziegler D., Malik R.A., Waxman S.G., Lauria G., Faber C.G., Smeets H.J.M., Gerrits M.M. (2022). Peripheral Ion Channel Gene Screening in Painful-and Painless-Diabetic Neuropathy. International Journal of Molecular Sciences, 23(13)

Smatti M.K., Al-Sarraj Y.A., Albagha O., Yassine H.M.(2023). Genome-wide association study identifies several loci for HEV seropositivity. iScience,26(9)

Smatti, M. K., Al-Sarraj, Y. A., Albagha, O., & Yassine, H. M. (2020). Host Genetic Variants Potentially Associated With SARS-CoV-2: A Multi-Population Analysis. Frontiers in Genetics, 11, 578523. https:// doi.org/10.3389/fgene.2020.578523

Smith, M., Abdesselem, H. B., Mullins, M., Tan, T.-M., Nel, A. J. M., Al-Nesf, M. A. Y., Bensmail, I., Majbour, N. K., Vaikath, N. N., Naik, A., Ouararhni, K., Mohamed-Ali, V., Al-Maadheed, M., Schell, D. T., Baros-Steyl, S. S., Anuar, N. D., Ismail, N. H., Morris, P. E., Mamat, R. N. R., … Blackburn, J. M. (2021). Age, Disease Severity and Ethnicity Influence Humoral Responses in a Multi-Ethnic COVID-19 Cohort. Viruses, 13(5), Article 5. https://doi. org/10.3390/v13050786

Sohail M.U., Mashood F., Oberbach A., Chennakkandathil S., Schmidt F. (2022). The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool. Frontiers in Microbiology, 13

Solárová Z., Liskova A., Samec M., Kubatka P., Büsselberg D., Solár P. (2020). Anticancer potential of lichens’ secondary metabolites. Biomolecules, 10(1)

Song, C., Burgess, S., Eicher, J. D., CHARGE Consortium Hemostatic Factor Working Group, ICBP Consortium, O›Donnell, C. J., & Johnson, A. D. (2017). Causal effect of plasminogen activator inhibitor type 1 on coronary heart disease. Journal of the American Heart Association, 6(6), e004918.

Song M., Wang C., Wang H., Zhang T., Li J., Benezra R., Chouchane L., Sun Y.-H., Cui X.-G., Ma X. (2020). Targeting ubiquitin protein ligase E3 component N-recognin 5 in cancer cells induces a CD8+ T cell mediated immune response. OncoImmunology, 9(1)

Spivey T.L., De Giorgi V., Zhao Y., Bedognetti D., Pos Z., Liu Q., Tomei S., Ascierto M.L., Uccellini L., Reinboth J., Chouchane L., Stroncek D.F., Wang E., Marincola F.M. (2012). The stable traits of melanoma genetics: An alternate approach to target discovery. BMC Genomics, 13(1)

Stacey D., Fauman E.B., Ziemek D., Sun B.B., Harshfield E.L., Wood A.M., Butterworth A.S., Suhre K., Paul D.S. (2019). ProGeM: A framework for the prioritization of candidate causal genes at molecular quantitative trait loci. Nucleic Acids Research, 47(1)

Stoehr G., Schaab C., Graumann J., Mann M. (2013). A SILAC-based approach identifies substrates of caspase-dependent cleavage upon TRAIL-induced apoptosis. Molecular and Cellular Proteomics, 12(5)

Stradling C., Thomas G.N., Hemming K., Frost G., Garcia-Perez I., Redwood S., Taheri S. (2016). Randomised controlled pilot study to assess the feasibility of a Mediterranean Portfolio dietary intervention for cardiovascular risk reduction in HIV dyslipidaemia: A study protocol. BMJ Open, 6(2)

Su, X., Feng, Y., Rahman, S. A., Wu, S., Li, G., Rüschendorf, F., Zhao, L., Cui, H., Liang, J., Fang, L., Hu, H., Froehler, S., Yu, Y., Patone, G., Hummel, O., Chen, Q., Raile, K., Luft, F. C., Bähring, S., … Gong, M. (2020). Phosphatidylinositol 4-kinase β mutations cause nonsyndromic sensorineural deafness and inner ear malformation. Journal of Genetics and Genomics, 47(10), 618–626. https://doi.org/10.1016/j. jgg.2020.07.008

Subissi L., von Gottberg A., Thukral L., Worp N., Oude

Munnink B.B., Rathore S., Abu-Raddad L.J., Aguilera X., Alm E., Archer B.N., Attar Cohen H., Barakat A., Barclay W.S., Bhiman J.N., Caly L., Chand M., Chen M., Cullinane A., de Oliveira T., Drosten C., Druce J., Effler P., El Masry I., Faye A., Gaseitsiwe S., Ghedin E., Grant R., Haagmans B.L., Herring B.L., Iyer S.S., Kassamali Z., Kakkar M., Kondor R.J., Leite J.A., Leo Y.-S., Leung G.M., Marklewitz M., Moyo S., MendezRico J., Melhem N.M., Munster V., Nahapetyan K., Oh D.-Y., Pavlin B.I., Peacock T.P., Peiris M., Peng Z., Poon L.L.M., Rambaut A., Sacks J., Shen Y., Siqueira M.M., Tessema S.K., Volz E.M., Thiel V., van der Werf S., Briand S., Perkins M.D., Van Kerkhove M.D., Koopmans M.P.G., Agrawal A. (2022). An early warning system for emerging SARS-CoV-2 variants. Nature Medicine, 28(6)

Subramanian M., Wojtusciszyn A., Favre L., Boughorbel S., Shan J., Letaief K.B., Pitteloud N., Chouchane L. (2020). Precision medicine in the era of artificial intelligence: implications in chronic disease management. Journal of Translational Medicine, 18(1)

Suhre K. (2014). Metabolic profiling in diabetes. Journal of Endocrinology, 221(3)

Suhre K., Arnold M., Bhagwat A.M., Cotton R.J., Engelke R., Raffler J., Sarwath H., Thareja G., Wahl A., Delisle R.K., Gold L., Pezer M., Lauc G., Selim M.A.E.-D., Mook-Kanamori D.O., Al-Dous E.K., Mohamoud Y.A., Malek J., Strauch K., Grallert H., Peters A., Kastenmüller G., Gieger C., Graumann J. (2017). Connecting genetic risk to disease end points through the human blood plasma proteome. Nature Communications, 8

Suhre K., Dadhania D.M., Lee J.R., Muthukumar T., Chen Q., Gross S.S., Suthanthiran M. (2021). Kidney allograft function is a confounder of urine metabolite profiles in kidney allograft recipients. Metabolites, 11(8)

Suhre K., Gieger C. (2012). Genetic variation in metabolic phenotypes: Study designs and applications. Nature Reviews Genetics, 13(11)

Suhre K., McCarthy M.I., Schwenk J.M. (2021). Genetics meets proteomics: perspectives for large population-based studies. Nature Reviews Genetics, 22(1)

Suhre K., Raffler J., Kastenmüller G. (2016). Biochemical insights from population studies with genetics and metabolomics. Archives of Biochemistry and Biophysics, 589

Suhre K., Sarwath H., Engelke R., Sohail M.U., Cho S.J., Whalen W., Alvarez-Mulett S., Krumsiek J., Choi A.M.K., Schmidt F. (2022). Identification of Robust Protein Associations With COVID-19 Disease Based on Five Clinical Studies. Frontiers in Immunology, 12

Suhre K., Schwartz J.E., Sharma V.K., Chen Q., Lee J.R., Muthukumar T., Dadhania D.M., DIng R., Ikle D.N., Bridges N.D., Williams N.M., Kastenmüller G., Karoly E.D., Mohney R.P., Abecassis M., Friedewald J., Knechtle S.J., Becker Y.T., Samstein B., Shaked A., Gross S.S., Suthanthiran M. (2016). Urine metabolite profiles predictive of human kidney allograft status. Journal of the American Society of Nephrology, 27(2)

Suhre K., Stephan N., Zaghlool S., Triggle C.R., Robinson R.J., Evans A.M., Halama A. (2022). Matching Drug Metabolites from Non-Targeted Metabolomics to Self-Reported Medication in the Qatar Biobank Study. Metabolites, 12(3)

Suhre K., Trbojević-Akmačić I., Ugrina I., MookKanamori D.O., Spector T., Graumann J., Lauc G., Falchi M. (2019). Fine-mapping of the human blood plasma N-glycome onto its proteome. Metabolites, 9(7)

Suhre K., Zaghlool S. (2021). Connecting the epigenome, metabolome and proteome for a deeper understanding of disease. Journal of Internal Medicine, 290(3)

Sulaiman A.A., Ali R., Ramotar D.(2023). The histone H2B Arg95 residue efficiently recruits the transcription factor Spt16 to mediate Ste5 expression of the pheromone response pathway. Scientific Reports,13(1)

Suleiman S.H., Koko M.E., Nasir W.H., Elfateh O., Elgizouli U.K., Abdallah M.O.E., Alfarouk K.O., Hussain A., Faisal S., Ibrahim F.M.A., Romano M., Sultan A., Banks L., Newport M., Baralle F., Elhassan A.M., Mohamed H.S., Ibrahim M.E. (2015). Exome sequencing of a colorectal cancer family reveals shared mutation pattern and predisposition circuitry along tumor pathways. Frontiers in Genetics, 6(SEP)

Sun B.B., Maranville J.C., Peters J.E., Stacey D., Staley J.R., Blackshaw J., Burgess S., Jiang T., Paige E., Surendran P., Oliver-Williams C., Kamat M.A., Prins B.P., Wilcox S.K., Zimmerman E.S., Chi A., Bansal N., Spain S.L., Wood A.M., Morrell N.W., Bradley J.R., Janjic N., Roberts D.J., Ouwehand

154 155
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

W.H., Todd J.A., Soranzo N., Suhre K., Paul D.S., Fox C.S., Plenge R.M., Danesh J., Runz H., Butterworth A.S. (2018). Genomic atlas of the human plasma proteome. Nature, 558(7708)

Sung, Y. J., de Las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., ... & Loh, M. (2019). A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Human molecular genetics, 28(15), 2615-2633.

Sung, Y. J., Winkler, T. W., de Las Fuentes, L., Bentley, A. R., Brown, M. R., Kraja, A. T., ... & Lim, S. H. (2018). A large-scale multi-ancestry genome-wide study accounting for smoking behavior identifies multiple significant loci for blood pressure. The American Journal of Human Genetics, 102(3), 375400.

Surendran P., Stewart I.D., Au Yeung V.P.W., Pietzner M., Raffler J., Wörheide M.A., Li C., Smith R.F., Wittemans L.B.L., Bomba L., Menni C., Zierer J., Rossi N., Sheridan P.A., Watkins N.A., Mangino M., Hysi P.G., Di Angelantonio E., Falchi M., Spector T.D., Soranzo N., Michelotti G.A., Arlt W., Lotta L.A., Denaxas S., Hemingway H., Gamazon E.R., Howson J.M.M., Wood A.M., Danesh J., Wareham N.J., Kastenmüller G., Fauman E.B., Suhre K., Butterworth A.S., Langenberg C. (2022). Rare and common genetic determinants of metabolic individuality and their effects on human health. Nature Medicine, 28(11)

Suryawanshi H., Yang H., Lubetzky M., Morozov P., Lagman M., Thareja G., Alonso A., Li C., Snopkowski C., Belkadi A., Mueller F.B., Lee J.R., Dadhania D.M., Salvatore S.P., Seshan S.V., Sharma V.K., Suhre K., Suthanthiran M., Tuschl T., Muthukumar T. (2022). Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts. PLoS ONE, 17(45083)

Swaidan, N. T., Salloum-Asfar, S., Palangi, F., Errafii, K., Soliman, N. H., Aboughalia, A. T., Wali, A. H. S., Abdulla, S. A., & Emara, M. M. (2020). Identification of potential transcription factors that enhance human iPSC generation. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s41598-02078932-9

Taheri S. (2017). The Immune Basis of Narcolepsy: What Is the Evidence?. Sleep Medicine Clinics, 12(3)

Taheri S., Zaghlool H., Pallayova M. (2015).

Drug design and therapeutic development for diabetes mellitus. RSC Drug Discovery Series, 2015-January(45)

Taouk, G., Hussein, O., Zekak, M., Abouelghar, A., Al-Sarraj, Y., Abdelalim, E. M., & Karam, M. (2019). CD56 expression in breast cancer induces sensitivity to natural killer-mediated cytotoxicity by enhancing the formation of cytotoxic immunological synapse. Scientific Reports, 9(1), Article 1. https://doi. org/10.1038/s41598-019-45377-8

Taylor J.Y., Schwander K., Kardia S.L.R., Arnett D., Liang J., Hunt S.C., Rao D.C., Sun Y.V. (2016). A Genome-wide study of blood pressure in African Americans accounting for gene-smoking interaction. Scientific Reports, 6()

Tehreem, R., Chen, I., Shah, M. R., Li, Y., Khan, M. A., Afshan, K., Chen, R., & Firasat, S. (2022). Exome Sequencing Identified Molecular Determinants of Retinal Dystrophies in Nine Consanguineous Pakistani Families. Genes, 13(9), 1630. https://doi. org/10.3390/genes13091630

Terranegra, A., Arcidiacono, T., Macrina, L., Brasacchio, C., Pivari, F., Mingione, A., Tomei, S., Mezzavilla, M., Silcock, L., Cozzolino, M., Palmieri, N., Conte, F., Sirtori, M., Rubinacci, A., Soldati, L., & Vezzoli, G. (2020). Glucagon-like peptide-1 receptor and sarcoglycan delta genetic variants can affect cardiovascular risk in chronic kidney disease patients under hemodialysis. Clinical Kidney Journal, 13(4), 666–673. https://doi.org/10.1093/ckj/ sfz182

Tesch, V. K., Abolhassani, H., Shadur, B., Zobel, J., Mareika, Y., Sharapova, S., Karakoc-Aydiner, E., Rivière, J. G., Garcia-Prat, M., Moes, N., Haerynck, F., Gonzales-Granado, L. I., Santos Pérez, J. L., Mukhina, A., Shcherbina, A., Aghamohammadi, A., Hammarström, L., Dogu, F., Haskologlu, S., … Seidel, M. G. (2020). Long-term outcome of LRBA deficiency in 76 patients after various treatment modalities as evaluated by the immune deficiency and dysregulation activity (IDDA) score. Journal of Allergy and Clinical Immunology, 145(5), 1452–1463. https://doi.org/10.1016/j.jaci.2019.12.896

Thareja G., Al-Sarraj Y., Belkadi A., Almotawa M., Ismail S., Al-Muftah W., Badji R., Mbarek H., Darwish D., Fadl T., Yasin H., Ennaifar M., Abdellatif R., Alkuwari F., Alvi M., Al-Sarraj Y., Saad C., Althani A., Fethnou E., Qafoud F., Alkhayat E., Afifi N., Tomei S., Liu W., Lorenz S., Syed N., Almabrazi H., Vempalli F.R., Temanni R., Saqri T.A., Khatib M., Hamza M.,

Zaid T.A., El Khouly A., Pathare T., Poolat S., Al-Ali R., Albagha O.M.E., Al-Khodor S., Alshafai M., Badii R., Chouchane L., Estivill X., Fakhro K., Mokrab Y., Puthen J., Tatari Z., Suhre K., The Qatar Genome Program Research (QGPR) Consortium, Qatar Genome Project Management, Biobank and Sample Preparation, Sequencing and Genotyping group, Applied Bioinformatics Core, Data Management and Computing Infrastructure group, Consortium Lead Principal Investigators (2021). Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits. Nature Communications, 12(1)

Thareja, G., Belkadi, A., Arnold, M., Albagha, O. M. E., Graumann, J., Schmidt, F., Grallert, H., Peters, A., Gieger, C., Consortium, T. Q. G. P. R., & Suhre, K. (2023). Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations. Human Molecular Genetics, 32(6), 907–916. https://doi.org/10.1093/ hmg/ddac243

Thareja G., Evans A.M., Wood S.D., Stephan N., Zaghlool S., Halama A., Kastenmüller G., Belkadi A., Albagha O.M.E., Suhre K., The Qatar Genome Program Research Consortium (2022). Ratios of Acetaminophen Metabolites Identify New Loci of Pharmacogenetic Relevance in a Genome-Wide Association Study. Metabolites, 12(6). https://doi. org/10.3390/metabo12060496

Thareja G., Yang H., Hayat S., Mueller F.B., Lee J.R., Lubetzky M., Dadhania D.M., Belkadi A., Seshan S.V., Suhre K., Suthanthiran M., Muthukumar T. (2018). Single nucleotide variant counts computed from RNA sequencing and cellular traffic into human kidney allografts. American Journal of Transplantation, 18(10)

Thomas R, Shaath H, Naik A, Toor SM, Elkord E, Decock J. Identification of two HLA-A*0201 immunogenic epitopes of lactate dehydrogenase C (LDHC): potential novel targets for cancer immunotherapy. Cancer Immunol Immunother. 2020 Mar;69(3):449-463. doi: 10.1007/s00262-02002480-4. Epub 2020 Jan 13. PMID: 31932876; PMCID: PMC7044258. https://doi.org/10.1007/s00262-02002480-4

Thurin, M., Cesano, A., & Marincola, F. M. (Eds.). (2020). Biomarkers for Immunotherapy of Cancer: Methods and Protocols (Vol. 2055). Springer New York. https://doi.org/10.1007/978-1-4939-9773-2

Tiss, A., Khadir, A., Abubaker, J., Abu-Farha, M.,

Al-Khairi, I., Cherian, P., John, J., Kavalakatt, S., Warsame, S., Al-Ghimlas, F., Elkum, N., Behbehani, K., Dermime, S., & Dehbi, M. (2014). Immunohistochemical profiling of the heat shock response in obese non-diabetic subjects revealed impaired expression of heat shock proteins in the adipose tissue. Lipids in Health and Disease, 13(1), 106. https://doi.org/10.1186/1476-511X-13-106

Toledo J.B., Arnold M., Kastenmüller G., Chang R., Baillie R.A., Han X., Thambisetty M., Tenenbaum J.D., Suhre K., Thompson J.W., John-Williams L.S., MahmoudianDehkordi S., Rotroff D.M., Jack J.R., Motsinger-Reif A., Risacher S.L., Blach C., Lucas J.E., Massaro T., Louie G., Zhu H., Dallmann G., Klavins K., Koal T., Kim S., Nho K., Shen L., Casanova R., Varma S., Legido-Quigley C., Moseley M.A., Zhu K., Henrion M.Y.R., van der Lee S.J., Harms A.C., Demirkan A., Hankemeier T., van Duijn C.M., Trojanowski J.Q., Shaw L.M., Saykin A.J., Weiner M.W., Doraiswamy P.M., Kaddurah-Daouk R., Alzheimer›s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium (2017). Metabolic network failures in Alzheimer›s disease: A biochemical road map. Alzheimer›s and Dementia, 13(9)

Tomei S., Bedognetti D., De Giorgi V., Sommariva M., Civini S., Reinboth J., Al Hashmi M., Ascierto M.L., Liu Q., Ayotte B.D., Worschech A., Uccellini L., Ascierto P.A., Stroncek D., Palmieri G., Chouchane L., Wang E., Marincola F.M. (2015). The immunerelated role of BRAF in melanoma. Molecular Oncology, 9(1)

Tomei S., Mamtani R., Al Ali R., Elkum N., Abdulmalik M., Ismail A., Cheema S., Rouh H.A., Aigha I.I., Hani F., Al-Samraye S., Taher Aseel M., El Emadi N., Al Mujalli A., Abdelkerim A., Youssif S., Worschech A., El Sebakhy E., Temanni R., Khanna V., Wang E., Kizhakayil D., Al-Thani A.-A., Al-Thani M., Lowenfels A., Marincola F.M., Sheikh J., Chouchane L. (2015). Obesity susceptibility loci in Qataris, a highly consanguineous Arabian population. Journal of Translational Medicine, 13(1)

Tomei, S., Singh, P., Mathew, R., Mattei, V., Garand, M., Alwakeel, M., Sharif, E., & Al Khodor, S. (2020). The Role of Polymorphisms in Vitamin D-Related Genes in Response to Vitamin D Supplementation. Nutrients, 12(9), 2608. https://doi.org/10.3390/ nu12092608

Toor, S., Syed Khaja, A. S., El Salhat, H., Bekdache, O., Kanbar, J., Jaloudi, M., & Elkord, E. (2016). Increased levels of circulating and tumor-infiltrating

156 157 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

granulocytic myeloid cells in colorectal cancer patients. Frontiers in Immunology, 7. https://doi. org/10.3389/fimmu.2016.00560

Toor S.M., Aldous E.K., Parray A., Akhtar N., AlSarraj Y., Abdelalim E.M., Arredouani A., El-Agnaf O., Thornalley P.J., Pananchikkal S.V., Pir G.J., Ayadathil R., Shuaib A., Alajez N.M., Albagha O.M.E.(2023). Circulating MicroRNA Profiling Identifies Distinct MicroRNA Signatures in Acute Ischemic Stroke and Transient Ischemic Attack Patients.International Journal of Molecular Sciences,24(1)

Toor S.M., Aldous E.K., Parray A., Akhtar N., AlSarraj Y., Abdelalim E.M., Arredouani A., El-Agnaf O., Thornalley P.J., Pananchikkal S.V., Pir G.J., Kuni R.A.T., Shuaib A., Alajez N.M., Albagha O.M.E.(2022). Identification of distinct circulating microRNAs in acute ischemic stroke patients with type 2 diabetes mellitus.Frontiers in Cardiovascular Medicine,9.

Toor, S. M., & Elkord, E. (2017). Comparison of Myeloid Cells in Circulation and in the Tumor Microenvironment of Patients with Colorectal and Breast Cancers. Journal of Immunology Research, 2017, 7989020. https://doi.org/10.1155/2017/7989020

Toor, S. M., Aldous, E. K., Parray, A., Akhtar, N., Al-Sarraj, Y., Abdelalim, E. M., Arredouani, A., El-Agnaf, O., Thornalley, P. J., Pananchikkal, S. V., Pir, G. J., Ayadathil, R., Shuaib, A., Alajez, N. M., & Albagha, O. M. E. (2022). Circulating MicroRNA Profiling Identifies Distinct MicroRNA Signatures in Acute Ischemic Stroke and Transient Ischemic Attack Patients. International Journal of Molecular Sciences, 24(1), 108. https://doi.org/10.3390/ ijms24010108

Toor, S. M., Khalaf, S., Murshed, K., Abu Nada, M., & Elkord, E. (2020). Myeloid Cells in Circulation and Tumor Microenvironment of Colorectal Cancer Patients with Early and Advanced Disease Stages. Journal of Immunology Research, 2020, e9678168. https://doi.org/10.1155/2020/9678168

Toor, S. M., Murshed, K., Al-Dhaheri, M., Khawar, M., Abu Nada, M., & Elkord, E. (2019). Immune Checkpoints in Circulating and Tumor-Infiltrating CD4+ T Cell Subsets in Colorectal Cancer Patients. Frontiers in Immunology, 10. https://doi.org/10.3389/ fimmu.2019.02936

Toor, S. M., Sasidharan Nair, V., Murshed, K., Abu Nada, M., & Elkord, E. (2021). Tumor-Infiltrating Lymphoid Cells in Colorectal Cancer Patients with Varying Disease Stages and Microsatellite Instability-

High/Stable Tumors. Vaccines, 9(1), Article 1. https:// doi.org/10.3390/vaccines9010064

Toor, S. M., Sasidharan Nair, V., Pfister, G., & Elkord, E. (2019). Effect of pembrolizumab on CD4+CD25+, CD4+LAP+ and CD4+TIM-3+ T cell subsets. Clinical & Experimental Immunology, 196(3), 345–352. https://doi.org/10.1111/cei.13264

Toor, S. M., Sasidharan Nair, V., Saleh, R., Taha, R. Z., Murshed, K., Al-Dhaheri, M., Khawar, M., Ahmed, A. A., Kurer, M. A., Abu Nada, M., & Elkord, E. (2021). Transcriptome of Tumor-Infiltrating T Cells in Colorectal Cancer Patients Uncovered a Unique Gene Signature in CD4+ T Cells Associated with Poor Disease-Specific Survival. Vaccines, 9(4), Article 4. https://doi.org/10.3390/vaccines9040334

Toor, S. M., Syed Khaja, A. S., Alkurd, I., & Elkord, E. (2018). In-vitro effect of pembrolizumab on different T regulatory cell subsets. Clinical & Experimental Immunology, 191(2), 189–197. https:// doi.org/10.1111/cei.13060

Toor, S. M., Syed Khaja, A. S., El Salhat, H., Faour, I., Kanbar, J., Quadri, A. A., Albashir, M., & Elkord, E. (2017). Myeloid cells in circulation and tumor microenvironment of breast cancer patients. Cancer Immunology, Immunotherapy, 66(6), 753–764. https://doi.org/10.1007/s00262-017-1977-z

Toor, S. M., Taha, R. Z., Sasidharan Nair, V., Saleh, R., Murshed, K., Abu Nada, M., & Elkord, E. (2021). Differential gene expression of tumor-infiltrating CD33+ myeloid cells in advanced- versus earlystage colorectal cancer. Cancer Immunology, Immunotherapy, 70(3), 803–815. https://doi. org/10.1007/s00262-020-02727-0

Triggle C.R., Ding H., Marei I., Anderson T.J., Hollenberg M.D. (2020). Why the endothelium? The endothelium as a target to reduce diabetesassociated vascular disease. Canadian Journal of Physiology and Pharmacology, 98(7)

Triggle C.R., Mohammed I., Bshesh K., Marei I., Ye K., Ding H., MacDonald R., Hollenberg M.D., Hill M.A. (2022). Metformin: Is it a drug for all reasons and diseases?. Metabolism: Clinical and Experimental, 133

Triggle C.R., Samuel S.M., Ravishankar S., Marei I., Arunachalam G., Ding H. (2012). The endothelium: Influencing vascular smooth muscle in many ways. Canadian Journal of Physiology and Pharmacology, 90(6)

Tsui, C. K. M., Sundararaju, S., Al Mana, H., Thomas, E., Tang, P., Hasan, M. R., & Perez-Lopez, A. (2019). Draft Genome Sequences of Two Streptococcus pneumoniae Strains Causing Invasive Infections in Children in Qatar. Microbiology Resource Announcements, 8(23), e00511-19. https://doi. org/10.1128/MRA.00511-19

Tsui, C. K. M., Sundararaju, S., Mana, H. A., Hasan, M. R., Tang, P., & Perez-Lopez, A. (2020). Corrigendum to “Plasmid-mediated colistin resistance encoded by mcr-1 gene in Escherichia coli co-carrying blaCTX-M-15 and blaNDM-1 genes in pediatric patients in Qatar” [J Global Antimicrob Resist 22 (2020) 662–663]. Journal of Global Antimicrobial Resistance, 23, 472. https://doi. org/10.1016/j.jgar.2020.09.001

Tsui, C. K. M., Sundararaju, S., Mana, H. A., Hasan, M. R., Tang, P., & Perez-Lopez, A. (n.d.). Draft Genome Sequence of an Extended-SpectrumLactamase-Producing Klebsiella oxytoca Strain Bearing mcr-9 from Qatar. 9(23).

Turner A., Aggarwal P., Matter A., Olson B., Charles Gu C., Hunt S.C., Lewis C.E., Arnett D.K., Lorier R., Broeckel U. (2021). Donor-specific phenotypic variation in hiPSC cardiomyocyte-derived exosomes impacts endothelial cell function. American Journal of Physiology - Heart and Circulatory Physiology, 320(3)

Umlai, U.-K. I., Haris, B., Hussain, K., & Jithesh, P. V. (2022). Case Report: Phenotype-Gene Correlation in a Case of Novel Tandem 4q Microduplication With Short Stature, Speech Delay and Microcephaly. Frontiers in Endocrinology, 12, 783235. https://doi. org/10.3389/fendo.2021.783235

Uramova S., Kubatka P., Dankova Z., Kapinova A., Zolakova B., Samec M., Zubor P., Zulli A., Valentova V., Kwon T.K., Solar P., Kello M., Kajo K., Busselberg D., Pec M., Danko J. (2018). Plant natural modulators in breast cancer prevention: status quo and future perspectives reinforced by predictive, preventive, and personalized medical approach. EPMA Journal, 9(4)

Ustaoglu, S. G., Ali, M. H. M., Rakib, F., Blezer, E. L. A., Van Heijningen, C. L., Dijkhuizen, R. M., & Severcan, F. (2021). Biomolecular changes and subsequent time-dependent recovery in hippocampal tissue after experimental mild traumatic brain injury. Scientific Reports, 11(1), Article 1. https://doi.org/10.1038/s 41598-021-92015-3

Vaikath, N., Sudhakaran, I., Abdi, I., Gupta, V., Majbour, N., Ghanem, S., Abdesselem, H., Vekrellis, K., & El-Agnaf, O. (2022). Structural and Biophysical Characterization of Stable Alpha-Synuclein Oligomers. International Journal of Molecular Sciences, 23(23), Article 23. https://doi.org/10.3390/ ijms232314630

Vaikath, N. N., Erskine, D., Morris, C. M., Majbour, N. K., Vekrellis, K., Li, J.-Y., & El-Agnaf, O. M. A. (2019). Heterogeneity in α-synuclein subtypes and their expression in cortical brain tissue lysates from Lewy body diseases and Alzheimer’s disease. Neuropathology and Applied Neurobiology, 45(6), 597–608. https://doi.org/10.1111/nan.12531

Van Beek L.F., Surmann K., van den Berg van Saparoea H.B., Houben D., Jong W.S.P., Hentschker C., Ederveen T.H.A., Mitsi E., Ferreira D.M., van Opzeeland F., van der Gaast–de Jongh C.E., Joosten I., Völker U., Schmidt F., Luirink J., Diavatopoulos D.A., de Jonge M.I. (2020). Exploring metal availability in the natural niche of Streptococcus pneumoniae to discover potential vaccine antigens. Virulence, 11(1)

Van der Auwera S., Ameling S., Wittfeld K., d’Harcourt Rowold E., Nauck M., Völzke H., Suhre K., Najafi-Shoushtari H., Methew J., Ramachandran V., Bülow R., Völker U., Grabe H.J. (2019). Association of childhood traumatization and neuropsychiatric outcomes with altered plasma micro RNA-levels. Neuropsychopharmacology, 44(12)

Van de Weerd, S., Smit, M. A., Roelands, J., Mesker, W. E., Bedognetti, D., Kuppen, P. J. K., Putter, H., Tollenaar, R. A. E. M., Roodhart, J. M. L., Hendrickx, W., Medema, J. P., & van Krieken, J. H. J. M. (2022). Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients. International Journal of Molecular Sciences, 23(20), 12707. https://doi. org/10.3390/ijms232012707

Vanova B., Kalman M., Jasek K., Kasubova I., Burjanivova T., Farkasova A., Kruzliak P., Busselberg D., Plank L., Lasabova Z. (2019). Droplet digital PCR revealed high concordance between primary tumors and lymph node metastases in multiplex screening of KRAS mutations in colorectal cancer. Clinical and Experimental Medicine, 19(2)

158 159
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Van Waateringe R.P., Mook-Kanamori M.J., Slagter S.N., Van Der Klauw M.M., Van Vliet-Ostaptchouk J.V., Graaff R., Lutgers H.L., Suhre K., El-Din Selim M.M., Mook-Kanamori D.O., Wolffenbuttel B.H.R. (2017). The association between various smoking behaviors, cotinine biomarkers and skin autofluorescence, a marker for advanced glycation end product accumulation. PLoS ONE, 12(6)

Varghese E., Liskova A., Kubatka P., Samuel S.M., Büsselberg D. (2020). Anti-angiogenic effects of phytochemicals on miRNA regulating breast cancer progression. Biomolecules, 10(2)

Varghese E., Samuel S.M., Liskova A., Kubatka P., Büsselberg D. (2021). Diabetes and coronavirus (SARS-CoV-2): Molecular mechanism of MAU etformin: Inordertomaintaincon intervention and the scientific basis of drug repurposing. PLoS Pathogens, 17(6)

Varghese E., Samuel S.M., Líšková A., Samec M., Kubatka P., Büsselberg D. (2020). Targeting glucose metabolism to overcome resistance to anticancer chemotherapy in breast cancer. Cancers, 12(8)

Varghese S., Kubatka P., Rodrigo L., Gazdikova K., Caprnda M., Fedotova J., Zulli A., Kruzliak P., Büsselberg D. (2017). Chili pepper as a body weightloss food. International Journal of Food Sciences and Nutrition, 68(4)

Venu V.K.P., Saifeddine M., Mihara K., Faiza M., Gorobets E., Flewelling A.J., Derksen D.J., Hirota S.A., Marei I., Al-Majid D., Motahhary M., Ding H., Triggle C.R., Hollenberg M.D. (2021). Metformin Prevents Hyperglycemia-Associated, Oxidative Stress-Induced Vascular Endothelial Dysfunction: Essential Role for the Orphan Nuclear Receptor Human Nuclear Receptor 4A1 (Nur77). Molecular Pharmacology, 100(5)

Verma A., Muthukumar T., Yang H., Lubetzky M., Cassidy M.F., Lee J.R., Dadhania D.M., Snopkowski C., Shankaranarayanan D., Salvatore S.P., Sharma V.K., Xiang J.Z., De Vlaminck I., Seshan S.V., Mueller F.B., Suhre K., Elemento O., Suthanthiran M. (2020). Urinary cell transcriptomics and acute rejection in human kidney allografts. JCI Insight, 5(4)

Verma S., Sabbour H., Alamuddin N., Alawadi F., Alkandari H., Almahmeed W., Assaad-Khalil S.H., Haddad J., Lombard L., Malik R.A., Mashaki Ceyhan E., Prasad P., Tombak G., Salek S. (2023). A cross-sectional study of the prevalence and clinical management of atherosclerotic cardiovascular

diseases in patients with type 2 diabetes across the Middle East and Africa (PACT-MEA): Study design and rationale. Diabetes, Obesity and Metabolism, 25(6)

Vieweg, S., Ansaloni, A., Wang, Z.-M., Warner, J. B., & Lashuel, H. A. (2016). An Intein-based Strategy for the Production of Tag-free Huntingtin Exon 1 Proteins Enables New Insights into the Polyglutamine Dependence of Httex1 Aggregation and Fibril Formation. The Journal of Biological Chemistry, 291(23), 12074–12086. https://doi. org/10.1074/jbc.M116.713982

Villiers W., Kelly A., He X., Kaufman-Cook J., Elbasir A., Bensmail H., Lavender P., Dillon R., Mifsud B., Osborne C.S.(2023). Multi-omics and machine learning reveal context-specific gene regulatory activities of PML::RARA in acute promyelocytic leukemia.Nature Communications,14(1)

Visconti A., Al-Shafai M., Al Muftah W.A., Zaghlool S.B., Mangino M., Suhre K., Falchi M. (2017). PopPAnTe: Population and pedigree association testing for quantitative data. BMC Genomics, 18(1)

Vishnubalaji R, Abdel-Razeq H, Gehani S, Albagha OME, Alajez NM. Identification of a Gene Panel Predictive of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy Employing Transcriptomic and Functional Validation. Int J Mol Sci. 2022 Sep 17;23(18):10901. doi: 10.3390/ ijms231810901. PMID: 36142814; PMCID: PMC9506546.

Vishnubalaji, R., & Alajez, N. M. (2021). Epigenetic regulation of triple negative breast cancer (TNBC) by TGF-β signaling. Scientific Reports, 11(1), Article 1. https://doi.org/10.1038/s41598-021-94514-9

Vishnubalaji, R., & Alajez, N. M. (2023). Long noncoding RNA AC099850.4 correlates with advanced disease state and predicts worse prognosis in triplenegative breast cancer. Frontiers in Medicine, 10. https://doi.org/10.3389/fmed.2023.1149860

Vishnubalaji R, Alajez NM. Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes. Cells. 2023 Apr 18;12(8):1182. doi: 10.3390/cells12081182. PMID: 37190091; PMCID: PMC10137100

Vishnubalaji, R., & Alajez, N. M. (2021). Transcriptional landscape associated with TNBC resistance to neoadjuvant chemotherapy revealed by single-cell RNA-seq. Molecular Therapy -

Oncolytics, 23, 151–162. https://doi.org/10.1016/j. omto.2021.09.002

Vishnubalaji, R., Elango, R., & Alajez, N. M. (2022). LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities. Non-Coding RNA, 8(4), Article 4. https://doi.org/10.3390/ncrna8040044

Vishnubalaji, R., Elango, R., Al-Toub, M., Manikandan, M., Al-Rikabi, A., Harkness, L., Ditzel, N., Atteya, M., Hamam, R., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2019). Neoplastic Transformation of Human Mesenchymal Stromal Cells Mediated via LIN28B. Scientific Reports, 9(1), Article 1. https://doi.org/10.1038/s41 598-019-44536-1

Vishnubalaji, R., Elango, R., Manikandan, M., Siyal, A.-A., Ali, D., Al-Rikabi, A., Hamam, D., Hamam, R., Benabdelkamel, H., Masood, A., Alanazi, I. O., Alfadda, A. A., Alfayez, M., Aldahmash, A., Kassem, M., & Alajez, N. M. (2020). MicroRNA-3148 acts as molecular switch promoting malignant transformation and adipocytic differentiation of immortalized human bone marrow stromal cells via direct targeting of the SMAD2/TGFβ pathway. Cell Death Discovery, 6(1), Article 1. https://doi. org/10.1038/s41420-020-00312-z

Vishnubalaji, R., Manikandan, M., Aldahmash, A., AlJarbou, A., Habous, M., Alhajeri, D., Almannie, R., Alfayez, M., Alajez, N. M., & Binsaleh, S. (2018). Whole genome mRNA expression profiling revealed multiple deregulated pathways in stromal vascular fraction from erectile dysfunction patients. Bioscience Reports, 38(6), BSR20181015. https://doi. org/10.1042/BSR20181015

Vivekanandan, S., Moovarkumudalvan, B., Lescar, J., & Kolatkar, P. R. (2015). Crystallization and X-ray diffraction analysis of the HMG domain of the chondrogenesis master regulator Sox9 in complex with a ChIP-Seq-identified DNA element. Acta Crystallographica Section F, 71(11), 1437–1441. https://doi.org/10.1107/S2053230X1501969X

Vishnubalaji, R., Sasidharan Nair, V., Ouararhni, K., Elkord, E., & Alajez, N. M. (2019). Integrated Transcriptome and Pathway Analyses Revealed Multiple Activated Pathways in Breast Cancer. Frontiers in Oncology, 9. https://doi.org/10.3389/ fonc.2019.00910

Vishnubalaji, R., Shaath, H., & Alajez, N. M. (2020).

Protein Coding and Long Noncoding RNA (lncRNA) Transcriptional Landscape in SARS-CoV-2 Infected Bronchial Epithelial Cells Highlight a Role for Interferon and Inflammatory Response. Genes, 11(7), Article 7. https://doi.org/10.3390/genes11070760

Vishnubalaji, R., Shaath, H., Elkord, E., & Alajez, N. M. (2019). Long non-coding RNA (lncRNA) transcriptional landscape in breast cancer identifies LINC01614 as non-favorable prognostic biomarker regulated by TGFβ and focal adhesion kinase (FAK) signaling. Cell Death Discovery, 5(1), Article 1. https://doi.org/10.1038/s41420-019-0190-6

Vogt S., Wahl S., Kettunen J., Breitner S., Kastenmüller G., Gieger C., Suhre K., Waldenberger M., Kratzsch J., Perola M., Salomaa V., Blankenberg S., Zeller T., Soininen P., Kangas A.J., Peters A., Grallert H., Ala-Korpela M., Thorand B. (2016). Characterization of the metabolic profile associated with serum 25-hydroxyvitamin D: A cross-sectional analysis in population-based data. International Journal of Epidemiology, 45(5)

Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., ... & Criqui, M. H. (2017). Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet, 390(10100), 1211-1259.

Vos, T., Allen, C., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, A., ... & Boufous, S. (2016). Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The lancet, 388(10053), 1545-1602.

Wägele B., Witting M., Schmitt-Kopplin P., Suhre K. (2012). Masstrix reloaded: Combined analysis and visualization of tran-scriptome and metabolome data. PLoS ONE, 7(7)

Wagschal A., Najafi-Shoushtari S.H., Wang L., Goedeke L., Sinha S., Delemos A.S., Black J.C., Ramírez C.M., Li Y., Tewhey R., Hatoum I., Shah N., Lu Y., Kristo F., Psychogios N., Vrbanac V., Lu Y.-C., Hla T., De Cabo R., Tsang J.S., Schadt E., Sabeti P.C., Kathiresan S., Cohen D.E., Whetstine J., Chung R.T., Fernández-Hernando C., Kaplan L.M., Bernards A., Gerszten R.E., Näär A.M. (2015). Genome-wide

160 161 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

Transforming the Future of Healthcare in Qatar

identification of microRNAs regulating cholesterol and triglyceride homeostasis. Nature Medicine, 21(11)

Wahl S., Fenske N., Zeilinger S., Suhre K., Gieger C., Waldenberger M., Grallert H., Schmid M. (2014). On the potential of models for location and scale for genome-wide DNA methylation data. BMC Bioinformatics, 15(1)

Wahl S., Krug S., Then C., Kirchhofer A., Kastenmüller G., Brand T., Skurk T., Claussnitzer M., Huth C., Heier M., Meisinger C., Peters A., Thorand B., Gieger C., Prehn C., Römisch-Margl W., Adamski J., Suhre K., Illig T., Grallert H., Laumen H., Seissler J., Hauner H. (2014). Comparative analysis of plasma metabolomics response to metabolic challenge tests in healthy subjects and influence of the FTO obesity risk allele. Metabolomics, 10(3)

Wahl S., Vogt S., Stückler F., Krumsiek J., Bartel J., Kacprowski T., Schramm K., Carstensen M., Rathmann W., Roden M., Jourdan C., Kangas A.J., Soininen P., Ala-Korpela M., Nöthlings U., Boeing H., Theis F.J., Meisinger C., Waldenberger M., Suhre K., Homuth G., Gieger C., Kastenmüller G., Illig T., Linseisen J., Peters A., Prokisch H., Herder C., Thorand B., Grallert H. (2015). Multi-omic signature of body weight change: Results from a populationbased cohort study. BMC Medicine, 13(1)

Walker, K., Kalra, D., Lowdon, R., Chen, G., Molik, D., Soto, D. C., Dabbaghie, F., Khleifat, A. A., Mahmoud, M., Paulin, L. F., Raza, M. S., Pfeifer, S. P., Agustinho, D. P., Aliyev, E., Avdeyev, P., Barrozo, E. R., Behera, S., Billingsley, K., Chong, L. C., … Busby, B. (2022). The third international hackathon for applying insights into large-scale genomic composition to use cases in a wide range of organisms. F1000Research, 11, 530. https://doi.org/10.12688/ f1000research.110194.1

Wang, H., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., ... & Choi, J. Y. J. (2017). Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet, 390(10100), 1084-1150.

Wang, H., Naghavi, M., Allen, C., Barber, R., Bhutta, Z., & Carter, A. (2016). A systematic analysis for the Global Burden of Disease Study 2015. Lancet, 388(10053), 1459-1544.

Wang-Sattler R., Yu Z., Herder C., Messias A.C., Floegel A., He Y., Heim K., Campillos M., Holzapfel C., Thorand B., Grallert H., Xu T., Bader E., Huth C., Mittelstrass K., Döring A., Meisinger C., Gieger C., Prehn C., Roemisch-Margl W., Carstensen M., Xie L., Yamanaka-Okumura H., Xing G., Ceglarek U., Thiery J., Giani G., Lickert H., Lin X., Li Y., Boeing H., Joost H.-G., De Angelis M.H., Rathmann W., Suhre K., Prokisch H., Peters A., Meitinger T., Roden M., Wichmann H.-E., Pischon T., Adamski J., Illig T. (2012). Novel biomarkers for pre-diabetes identified by metabolomics. Molecular Systems Biology, 8

Ward-Caviness C.K., Xu T., Aspelund T., Thorand B., Montrone C., Meisinger C., Dunger-Kaltenbach I., Zierer A., Yu Z., Helgadottir I.R., Harris T.B., Launer L.J., Ganna A., Lind L., Eiriksdottir G., Waldenberger M., Prehn C., Suhre K., Illig T., Adamski J., Ruepp A., Koenig W., Gudnason V., Emilsson V., Wang-Sattler R., Peters A. (2017). Improvement of myocardial infarction risk prediction via inflammationassociated metabolite biomarkers. Heart, 103(16)

Weitzenböck H.P., Gschwendtner A., Wiesner C., Depke M., Schmidt F., Trautinger F., Hengstschläger M., Hundsberger H., Mikula M. (2022). Proteome analysis of NRF2 inhibition in melanoma reveals CD44 up-regulation and increased apoptosis resistance upon vemurafenib treatment. Cancer Medicine, 11(4)

Wijetilleka, S., Jayne, D., Mukhtyar, C., & Karim, M. Y. (2019). Iatrogenic antibody deficiency from B-cell targeted therapies in autoimmune rheumatic diseases. Lupus Science & Medicine, 6(1), e000337. https://doi.org/10.1136/lupus-2019-000337

Winter L., Bellenger C., Grimshaw P., Crowther R.G.(2023). Analysis of Movement Variability in Cycling: An Exploratory Study.Sensors,23(10)

Wolujewicz P., Aguiar-Pulido V., AbdelAleem A., Nair V., Thareja G., Suhre K., Shaw G.M., Finnell R.H., Elemento O., Ross M.E. (2021). Genomewide investigation identifies a rare copy-number variant burden associated with human spina bifida. Genetics in Medicine, 23(7)

Xu T., Brandmaier S., Messias A.C., Herder C., Draisma H.H.M., Demirkan A., Yu Z., Ried J.S., Haller T., Heier M., Campillos M., Fobo G., Stark R., Holzapfel C., Adam J., Chi S., Rotter M., Panni T., Quante A.S., He Y., Prehn C., Roemisch-Margl W., Kastenmuller G., Willemsen G., Pool R., Kasa K., Van Dijk K.W., Hankemeier T., Meisinger C., Thorand B., Ruepp A., De Angelis M.H., Li Y., Wichmann

H.-E., Stratmann B., Strauch K., Metspalu A., Gieger C., Suhre K., Adamski J., Illig T., Rathmann W., Roden M., Peters A., Van Duijn C.M., Boomsma D.I., Meitinger T., Wang-Sattler R. (2015). Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes. Diabetes Care, 38(10)

Xu T., Holzapfel C., Dong X., Bader E., Yu Z., Prehn C., Perstorfer K., Jaremek M., Roemisch-Margl W., Rathmann W., Li Y., Wichmann H..E., Wallaschofski H., Ladwig K.H., Theis F., Suhre K., Adamski J., Illig T., Peters A., Wang-Sattler R. (2013). Effects of smoking and smoking cessation on human serum metabolite profile: Results from the KORA cohort study. BMC Medicine, 11(1)

Yao C., Chen G., Song C., Keefe J., Mendelson M., Huan T., Sun B.B., Laser A., Maranville J.C., Wu H., Ho J.E., Courchesne P., Lyass A., Larson M.G., Gieger C., Graumann J., Johnson A.D., Danesh J., Runz H., Hwang S.-J., Liu C., Butterworth A.S., Suhre K., Levy D. (2018). Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease. Nature Communications, 9(1)

Yaribeygi H., Atkin S.L., Katsiki N., Sahebkar A. (2019). Narrative review of the effects of antidiabetic drugs on albuminuria. Journal of Cellular Physiology, 234(5)

Yaribeygi H., Atkin S.L., Sahebkar A. (2019). A review of the molecular mechanisms of hyperglycemiainduced free radical generation leading to oxidative stress. Journal of Cellular Physiology, 234(2)

Yee S.W., Stecula A., Chien H.-C., Zou L., Feofanova E.V., van Borselen M., Cheung K.W.K., Yousri N.A., Suhre K., Kinchen J.M., Boerwinkle E., Irannejad R., Yu B., Giacomini K.M. (2019). Unraveling the functional role of the orphan solute carrier, SLC22A24 in the transport of steroid conjugates through metabolomic and genome-wide association studies. PLoS Genetics, 15(9)

Yengo, L., Arredouani, A., Marre, M., Roussel, R., Vaxillaire, M., Falchi, M., Haoudi, A., Tichet, J., Balkau, B., Bonnefond, A., & Froguel, P. (2016). Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling. Molecular Metabolism, 5(10), 918–925. https://doi.org/10.1016/j.molmet.2016.08.011 Yet I., Menni C., Shin S.-Y., Mangino M., Soranzo N.,

Adamski J., Suhre K., Spector T.D., Kastenmüller G., Bell J.T. (2016). Genetic influences on metabolite levels: A comparison across metabolomic platforms. PLoS ONE, 11(4)

Young, W. J., Haessler, J., Benjamins, J. W., Repetto, L., Yao, J., Isaacs, A., ... & Munroe, P. B. (2023). Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease. Nature communications, 14(1), 1411.

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., ... & Padmanabhan, S. (2022). Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways. Nature communications, 13(1), 5144.

Yousri N.A., Albagha O.M.E., Hunt S.C.(2023). Integrated epigenome, whole genome sequence and metabolome analyses identify novel multiomics pathways in type 2 diabetes: a Middle Eastern study.BMC Medicine,21(1)

Yousri N.A., Bayoumy K., Elhaq W.G., Mohney R.P., Al Emadi S., Hammoudeh M., Halabi H., Masri B., Badsha H., Uthman I., Plenge R., Saxena R., Suhre K., Arayssi T. (2017). Large Scale Metabolic Profiling identifies Novel Steroids linked to Rheumatoid Arthritis. Scientific Reports, 7(1)

Yousri N.A., Engelke R., Sarwath H., McKinlay R.D., Simper S.C., Adams T.D., Schmidt F., Suhre K., Hunt S.C. (2022). Proteome-wide associations with short- and long-term weight loss and regain after Roux-en-Y gastric bypass surgery. Obesity, 30(1)

Yousri N.A., Fakhro K.A., Robay A., RodriguezFlores J.L., Mohney R.P., Zeriri H., Odeh T., Kader S.A., Aldous E.K., Thareja G., Kumar M., AlShakaki A., Chidiac O.M., Mohamoud Y.A., Mezey J.G., Malek J.A., Crystal R.G., Suhre K. (2018). Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population. Nature Communications, 9(1)

Yousri N.A., Kastenmüller G., Alhaq W.G., Holle R., Kääb S., Mohney R.P., Gieger C., Peters A., Adamski J., Suhre K., Arayssi T. (2016). Diagnostic and Prognostic Metabolites Identified for Joint Symptoms in the KORA Population. Journal of Proteome Research, 15(2)

Yousri N.A., Kastenmüller G., Gieger C., Shin S.-Y., Erte I., Menni C., Peters A., Meisinger C., Mohney

162 163
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION

R.P., Illig T., Adamski J., Soranzo N., Spector T.D., Suhre K. (2014). Long term conservation of human metabolic phenotypes and link to heritability. Metabolomics, 10(5)

Yousri N.A., Mook-Kanamori D.O., Selim M.M.E.-D., Takiddin A.H., Al-Homsi H., Al-Mahmoud K.A.S., Karoly E.D., Krumsiek J., Do K.T., Neumaier U., Mook-Kanamori M.J., Rowe J., Chidiac O.M., McKeon C., Al Muftah W.A., Kader S.A., Kastenmüller G., Suhre K. (2015). A systems view of type 2 diabetesassociated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control. Diabetologia, 58(8)

Yousri N.A., Suhre K., Yassin E., Al-Shakaki A., Robay A., Elshafei M., Chidiac O., Hunt S.C., Crystal R.G., Fakhro K.A. (2022). Metabolic and Metabo-Clinical Signatures of Type 2 Diabetes, Obesity, Retinopathy, and Dyslipidemia. Diabetes, 71(2). https://doi. org/10.2337/db21-0490

Yu B., Flexeder C., McGarrah R.W., III, Wyss A., Morrison A.C., North K.E., Boerwinkle E., Kastenmüller G., Gieger C., Suhre K., Karrasch S., Peters A., Wagner G.R., Michelotti G.A., Mohney R.P., Schulz H., London S.J. (2019). Metabolomics identifies novel blood biomarkers of pulmonary function and copd in the general population. Metabolites, 9(4)

Yu F, Agrebi N, Mackeh R, Abouhazima K, Khudabakhsh K, Adeli M, Lo B, Hassan A, Machaca K. (2021) Novel ORAI1 mutation disrupts channel trafficking resulting in combined immunodeficiency. Journal of Clinical Immunology 41:1004-15. (doi: 10.1007/s10875-021-01004-8

Yu F., Machaca K. (2022). The STIM1 Phosphorylation Saga. Cell Calcium, 103

Yu T.W., Chahrour M.H., Coulter M.E., Jiralerspong S., Okamura-Ikeda K., Ataman B., Schmitz-Abe K., Harmin D.A., Adli M., Malik A.N., D›Gama A.M., Lim E.T., Sanders S.J., Mochida G.H., Partlow J.N., Sunu C.M., Felie J.M., Rodriguez J., Nasir R.H., Ware J., Joseph R.M., Hill R.S., Kwan B.Y., Al-Saffar M., Mukaddes N.M., Hashmi A., Balkhy S., Gascon G.G., Hisama F.M., LeClair E., Poduri A., Oner O., Al-Saad S., Al-Awadi S.A., Bastaki L., Ben-Omran T., Teebi A.S., Al-Gazali L., Eapen V., Stevens C.R., Rappaport L., Gabriel S.B., Markianos K., State M.W., Greenberg M.E., Taniguchi H., Braverman N.E., Morrow E.M., Walsh C.A. (2013). Using Whole-Exome Sequencing to Identify Inherited Causes of Autism. Neuron, 77(2)

Yu Z., Zhai G., Singmann P., He Y., Xu T., Prehn C., Römisch-Margl W., Lattka E., Gieger C., Soranzo N., Heinrich J., Standl M., Thiering E., Mittelstraß K., Wichmann H.-E., Peters A., Suhre K., Li Y., Adamski J., Spector T.D., Illig T., Wang-Sattler R. (2012). Human serum metabolic profiles are age dependent. Aging Cell, 11(6)

Zaghlool S.B., Al-Shafai M., Al Muftah W.A., Kumar P., Falchi M., Suhre K. (2015). Association of dna methylation with age, gender, and smoking in an arab population. Clinical Epigenetics, 7(1)

Zaghlool S.B., Al-Shafai M., Al Muftah W.A., Kumar P., Gieger C., Waldenberger M., Falchi M., Suhre K. (2016). Mendelian inheritance of trimodal CpG methylation sites suggests distal cis-acting genetic effects. Clinical Epigenetics, 8(1)

Zaghlool S.B., Halama A., Stephan N., Gudmundsdottir V., Gudnason V., Jennings L.L., Thangam M., Ahlqvist E., Malik R.A., Albagha O.M.E., Abou?Samra A.B., Suhre K.(2022). Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population. Nature Communications,13(1)

Zaghlool S.B., Kühnel B., Elhadad M.A., Kader S., Halama A., Thareja G., Engelke R., Sarwath H., Al-Dous E.K., Mohamoud Y.A., Meitinger T., Wilson R., Strauch K., Peters A., Mook-Kanamori D.O., Graumann J., Malek J.A., Gieger C., Waldenberger M., Suhre K. (2020). Epigenetics meets proteomics in an epigenome-wide association study with circulating blood plasma protein traits. Nature Communications, 11(1)

Zaghlool S.B., Mook-Kanamori D.O., Kader S., Stephan N., Halama A., Engelke R., Sarwath H., Al-Dous E.K., Mohamoud Y.A., Roemisch-Margl W., Adamski J., Kastenmüller G., Friedrich N., Visconti A., Tsai P.-C., Spector T., Bell J.T., Falchi M., Wahl A., Waldenberger M., Peters A., Gieger C., Pezer M., Lauc G., Graumann J., Malek J.A., Suhre K. (2018). Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation. Human Molecular Genetics, 27(6)

Zaghlool S.B., Sharma S., Molnar M., Matías-García P.R., Elhadad M.A., Waldenberger M., Peters A., Rathmann W., Graumann J., Gieger C., Grallert H., Suhre K. (2021). Revealing the role of the human blood plasma proteome in obesity using genetic drivers. Nature Communications, 12(1)

Zahir, F. R., Mwenifumbo, J. C., Chun, H.-J. E., Lim, E. L., Van Karnebeek, C. D. M., Couse, M., Mungall, K. L., Lee, L., Makela, N., Armstrong, L., Boerkoel, C. F., Langlois, S. L., McGillivray, B. M., Jones, S. J. M., Friedman, J. M., & Marra, M. A. (2017). Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability. BMC Genomics, 18(1), 403. https://doi.org/10.1186/s12864-017-3671-0

Zendedel E., Butler A.E., Atkin S.L., Sahebkar A. (2018). Impact of curcumin on sirtuins: A review. Journal of Cellular Biochemistry, 119(12)

Zeng H., Guo M., Zhou T., Tan L., Chong C.N., Zhang T., Dong X., Xiang J.Z., Yu A.S., Yue L., Qi Q., Evans T., Graumann J., Chen S. (2016). An Isogenic Human ESC Platform for Functional Evaluation of Genomewide-Association-Study-Identified Diabetes Genes and Drug Discovery. Cell Stem Cell, 19(3)

Zhai K., Brockmüller A., Kubatka P., Shakibaei M., Büsselberg D. (2020). Curcumin’s beneficial effects on neuroblastoma: Mechanisms, challenges, and potential solutions. Biomolecules, 10(11)

Zhai K., Liskova A., Kubatka P., Büsselberg D. (2020). Calcium entry through trpv1: A potential target for the regulation of proliferation and apoptosis in cancerous and healthy cells. International Journal of Molecular Sciences, 21(11)

Zhai K., Mazurakova A., Koklesova L., Kubatka P., Büsselberg D. (2021). Flavonoids synergistically enhance the anti-glioblastoma effects of chemotherapeutic drugs. Biomolecules, 11(12)

Zhai K., Siddiqui M., Abdellatif B., Liskova A., Kubatka P., Büsselberg D. (2021). Natural compounds in glioblastoma therapy: Preclinical insights, mechanistic pathways, and outlook. Cancers, 13(10)

Zhou W, Kanai M, Wu KH, Rasheed H, et al. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease. Cell Genom. 2022 Oct 12;2(10):100192. doi: 10.1016/j. xgen.2022.100192. PMID: 36777996; PMCID: PMC9903716.

Zierer J., Kastenmüller G., Suhre K., Gieger C., Codd V., Tsai P.C., Bell J., Peters A., Strauch K., Schulz H., Weidinger S., Mohney R.P., Samani N.J., Spector T., Mangino M., Menni C. (2016). Metabolomics profiling reveals novel markers for leukocyte telomere length. Aging, 8(1)

Zubor P., Kubatka P., Kajo K., Dankova Z., Polacek H., Bielik T., Kudela E., Samec M., Liskova A., Vlcakova D., Kulkovska T., Stastny I., Holubekova V., Bujnak J., Laucekova Z., Büsselberg D., Adamek M., Kuhn W., Danko J., Golubnitschaja O. (2019). Why the gold standard approach by mammography demands extension by multiomics? Application of liquid biopsy mirna profiles to breast cancer disease management. International Journal of Molecular Sciences, 20(12)

Zubor P., Wang Y., Liskova A., Samec M., Koklesova L., Dankova Z., Dørum A., Kajo K., Dvorska D., Lucansky V., Malicherova B., Kasubova I., Bujnak J., Mlyncek M., Alberto Dussan C., Kubatka P., Büsselberg D., Golubnitschaja O. (2020). Cold atmospheric pressure plasma (CAP) as a new tool for the management of vulva cancer and vulvar premalignant lesions in gynaecological oncology. International Journal of Molecular Sciences.

164 165 Transforming the Future of Healthcare in Qatar
REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION
166 167 Transforming the Future of Healthcare in Qatar REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION
168 169 Transforming the Future of Healthcare in Qatar REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION
170 171 Transforming the Future of Healthcare in Qatar REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION
172 173 Transforming the Future of Healthcare in Qatar REFERENCES ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 BIBLIOGRAPHY CONCLUSION
ACRONYMS AND ABBREVIATIONS INTRODUCTION CHAPTER 1 CHAPTER 2 174

Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.