Dr Eirini Marouli

Profile

Dr Eirini Marouli is a Reader in Computational Biology at the William Harvey Research Institute, Queen Mary University of London. Dr Marouli’s research interests lie in the interface of genetics, bioinformatics and artificial intelligence. She has developed a BBC Documentary Reel on Adult height. 

Dr Marouli is the Deputy Lead for the MSc Genomic Medicine, WHRI Post-Graduate Taught Course (PGT) Lead and Deputy Equality Diversity and Inclusion (EDI) Academic Lead, and Fellow at the Digital Environment Research Institute (DERI).

Dr Marouli boasts coherent and multidisciplinary research experience with high quality outputs across her research career. She has leading work in international consortia, working on cutting-edge research on complex traits and disease, thyroid function and thyroid cancer.

She graduated with a BSc in Biology and a MSc in Clinical Biochemistry from the University of Athens, Greece. Dr Marouli was awarded a PhD in Genetics from the University of Athens studying the genetic overlap between type 2 diabetes and psychiatric disease. Eirini joined the William Harvey Research Institute in July 2014, as a Greek State Scholarships Foundation Fellow. She completed her postdoctoral training with Professor Panos Deloukas. During this period, she had a leading role in the GIANT (Genetic Investigation of Anthropometric Traits) consortium, investigating the role of rare and low-frequency coding variants in human adult height (Marouli et al., Nature 2017).

She is running the Book Club at QMUL, focusing on topics related to Equality, Diversity, Inclusion and Mental Health.

Awards

• Early Career Researcher of the Year – UK Biobank 2019 meeting
• Nomination: American Society of Human Genetic’s Trainee Paper Spotlight 2018, for the paper: “Rare and low-frequency coding variants alter human adult height", Nature, 2017
• 2016 ASHG/Charles J. Epstein Trainee Award for Excellence in Human Genetics Research -Semifinalist
• The Genomics of Common Diseases congress, 2015, Wellcome Genome Campus, Hinxton, Cambridge (Travel Grant)

Find me on: 

• Researchgate
• Google Scholar
• ORCID ID: 0000-0001-6179-1609
• LinkedIn

Research

Research Interests:

Dr Marouli brings multi-disciplinary expertise involving her excellent background in both laboratory skills and bioinformatics expertise encompassing the biology of the thyroid gland and cancer, along with big data and multi-modal data analysis incorporating genetics. Dr Marouli’s leadership skills are reflected in the successful management of international projects and collaborations. Her work focuses on using human genetics to identify genes that influence common diseases and quantitative traits, including height and adiposity. Dr Marouli implements novel computational methods, including machine learning, to gain biological insights from human genetics and phenotypic data.

She has a leading role in the large international consortium (GIANT) that has discovered almost all of the genetic variants that are known to influence human height and obesity related traits. She also has leading role in projects collaborating with ThyroidOMICS consortium working on cutting-edge research on thyroid function. Dr Marouli specialises on the genetics of thyroid function and disease. Her recent work integrates the use of genetic data and a battery of state-of-the-art approaches, for causal inference and mendelian randomisation and machine learning to elucidate the genetic interplay between risk factors and disease. Dr Marouli has also leading work and contributions in global consortia (GLGC, CHARGE CARDIoGRAMplusC4D) for complex traits and diseases. In addition to gene discovery efforts, Dr Marouli is also interested in genetic-epigenetic approaches to complex phenotypes.

Publications

• Ellervik C, Boulakh L, Teumer A et al. (2024). Thyroid Function, Diabetes, and Common Age-Related Eye Diseases: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1089/thy.2024.0257

  
  

  QMRO: qmroHref
• Papadopoulou A, Harding D, Slabaugh G et al. (2024). Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank. nameOfConference

  
  

  DOI: 10.1016/j.heliyon.2024.e28034

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95921
• Babajide O, Kjaergaard AD, Deng W et al. (publicationYear). The role of thyroid function in borderline personality disorder and schizophrenia: a Mendelian Randomisation study. nameOfConference

  
  

  DOI: 10.1186/s40479-024-00246-3

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95724
• Sterenborg RBTM, Steinbrenner I, Li Y et al. (publicationYear). Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. nameOfConference

  
  

  DOI: 10.1038/s41467-024-44701-9

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95973
• Slabaugh G, Beltran L, Rizvi H et al. (publicationYear). Applications of machine and deep learning to thyroid cytology and histopathology: a review. nameOfConference

  
  

  DOI: 10.3389/fonc.2023.958310

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/94545
• Papadopoulou A, Åsvold BO, Burgess S et al. (2023). Height, Autoimmune Thyroid Disease, and Thyroid Cancer: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1089/thy.2023.0272

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93832
• Willems SM, Ng NHJ, Fernandez J et al. (publicationYear). Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization. nameOfConference

  
  

  DOI: 10.12688/wellcomeopenres.18754.1

  
  

  QMRO: qmroHref
• Hawkes G, Yengo L, Vedantam S et al. (publicationYear). Identification and analysis of individuals who deviate from their genetically-predicted phenotype. nameOfConference

  
  

  DOI: 10.1371/journal.pgen.1010934

  
  

  QMRO: qmroHref
• L Y, S V, E M et al. (publicationYear). A saturated map of common genetic variants associated with human height. nameOfConference

  
  

  DOI: 10.1530/ey.20.3.16

  
  

  QMRO: qmroHref
• Kanai M, Andrews SJ, Cordioli M et al. (2023). A second update on mapping the human genetic architecture of COVID-19. nameOfConference

  
  

  DOI: 10.1038/s41586-023-06355-3

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92320
• Sterenborg R, Steinbrenner I, Li Y et al. (publicationYear). Multi-Trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. nameOfConference

  
  

  DOI: 10.1530/endoabs.92.op-05-04

  
  

  QMRO: qmroHref
• Graham SE, Clarke SL, Wu K-HH et al. (2023). Author Correction: The power of genetic diversity in genome-wide association studies of lipids. nameOfConference

  
  

  DOI: 10.1038/s41586-023-06194-2

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92162
• Baronas JM, Bartell E, Eliasen A et al. (2023). Genome-wide CRISPR screening of chondrocyte maturation newly implicates genes in skeletal growth and height-associated GWAS loci. nameOfConference

  
  

  DOI: 10.1016/j.xgen.2023.100299

  
  

  QMRO: qmroHref
• Kafyra M, Kalafati IP, Dimitriou M et al. (publicationYear). Robust Bioinformatics Approaches Result in the First Polygenic Risk Score for BMI in Greek Adults. nameOfConference

  
  

  DOI: 10.3390/jpm13020327

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93823
• Kanoni S, Graham SE, Wang Y et al. (publicationYear). Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis. nameOfConference

  
  

  DOI: 10.1186/s13059-022-02837-1

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84269
• Yengo L, Vedantam S, Marouli E et al. (2022). A saturated map of common genetic variants associated with human height. nameOfConference

  
  

  DOI: 10.1038/s41586-022-05275-y

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84268
• Ramdas S, Judd J, Graham SE et al. (2022). A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. nameOfConference

  
  

  DOI: 10.1016/j.ajhg.2022.06.012

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84264
• Raghavan S, Huang J, Tcheandjieu C et al. (publicationYear). A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program. nameOfConference

  
  

  DOI: 10.1371/journal.pgen.1010193

  
  

  QMRO: qmroHref
• Wielscher M, Mandaviya PR, Kuehnel B et al. (publicationYear). DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases. nameOfConference

  
  

  DOI: 10.1038/s41467-022-29792-6

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84487
• Kjaergaard AD, Teumer A, Marouli E et al. (2022). Thyroid function, pernicious anemia and erythropoiesis: a two-sample Mendelian randomization study. nameOfConference

  
  

  DOI: 10.1093/hmg/ddac052

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93834
• Hawe JS, Wilson R, Schmid KT et al. (2022). Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function. nameOfConference

  
  

  DOI: 10.1038/s41588-021-00969-x

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/76323
• Graham SE, Clarke SL, Wu K-HH et al. (2021). The power of genetic diversity in genome-wide association studies of lipids. nameOfConference

  
  

  DOI: 10.1038/s41586-021-04064-3

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/75769
• Marouli E, Yusuf L, Kjaergaard AD et al. (2021). Thyroid Function and the Risk of Alzheimer's Disease: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1089/thy.2021.0321

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93833
• Xie T, Gorenjak V, Stathopoulou MG et al. (2021). Epigenome-wide association study detects a novel loci associated with central obesity in healthy subjects. nameOfConference

  
  

  DOI: 10.1186/s12920-021-01077-9

  
  

  QMRO: qmroHref
• Sulc J, Sonrel A, Mounier N et al. (publicationYear). Composite trait Mendelian randomization reveals distinct metabolic and lifestyle consequences of differences in body shape. nameOfConference

  
  

  DOI: 10.1038/s42003-021-02550-y

  
  

  QMRO: qmroHref
• Papadopoulou A, Musa H, Sivaganesan M et al. (2021). COVID-19 susceptibility variants associate with blood clots, thrombophlebitis and circulatory diseases. nameOfConference

  
  

  DOI: 10.1371/journal.pone.0256988

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/74337
• van Blokland IV, Lanting P, Ori APS et al. (publicationYear). Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility. nameOfConference

  
  

  DOI: 10.1371/journal.pone.0255402

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93825
• Ellervik C, Mora S, Kuś A et al. (2021). Effects of Thyroid Function on Hemostasis, Coagulation, and Fibrinolysis: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1089/thy.2021.0055

  
  

  QMRO: qmroHref
• Niemi MEK, Karjalainen J, Liao RG et al. (2021). Mapping the human genetic architecture of COVID-19. nameOfConference

  
  

  DOI: 10.1038/s41586-021-03767-x

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/75755
• Kuś A, Kjaergaard AD, Marouli E et al. (2021). Thyroid Function and Mood Disorders: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1089/thy.2020.0884

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93837
• Graff M, Justice AE, Young KL et al. (2021). Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. nameOfConference

  
  

  DOI: 10.1016/j.ajhg.2021.02.011

  
  

  QMRO: qmroHref
• Mensah-Kane J, Schmidt AF, Hingorani AD et al. (publicationYear). No Clinically Relevant Effect of Heart Rate Increase and Heart Rate Recovery During Exercise on Cardiovascular Disease: A Mendelian Randomization Analysis. nameOfConference

  
  

  DOI: 10.3389/fgene.2021.569323

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71311
• Kjaergaard AD, Marouli E, Papadopoulou A et al. (2021). Thyroid function, sex hormones and sexual function: a Mendelian randomization study. nameOfConference

  
  

  DOI: 10.1007/s10654-021-00721-z

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/70466
• Kuś A, Marouli E, Del Greco M. F et al. (2021). Variation in Normal Range Thyroid Function Affects Serum Cholesterol Levels, Blood Pressure, and Type 2 Diabetes Risk: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1089/thy.2020.0393

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71145
• Marouli E, Kus A, Del Greco M F et al. (2020). Thyroid Function Affects the Risk of Stroke via Atrial Fibrillation: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1210/clinem/dgaa239

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/64198
• Ng N, Willems SM, Fernandez J et al. (2019). Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation. nameOfConference

  
  

  DOI: doi

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67585
• Huang T, Wang T, Zheng Y et al. (2019). Association of Birth Weight With Type 2 Diabetes and Glycemic Traits: A Mendelian Randomization Study. nameOfConference

  
  

  DOI: 10.1001/jamanetworkopen.2019.10915

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/64159
• Murphy AM, Smith CE, Murphy LM et al. (2019). Potential Interplay between Dietary Saturated Fats and Genetic Variants of the NLRP3 Inflammasome to Modulate Insulin Resistance and Diabetes Risk: Insights from a Meta-Analysis of 19 005 Individuals. nameOfConference

  
  

  DOI: 10.1002/mnfr.201900226

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/64759
• Turcot V, Lu Y, Highland HM et al. (2019). Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. nameOfConference

  
  

  DOI: 10.1038/s41588-019-0447-2

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61615
• Group MRODCW, Huang T, Sun D et al. (2019). Dairy Intake and Body Composition and Cardiometabolic Traits among Adults: Mendelian Randomization Analysis of 182041 Individuals from 18 Studies. nameOfConference

  
  

  DOI: 10.1373/clinchem.2018.300335

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/59219
• Marouli E, Del Greco MF, Astley CM et al. (publicationYear). Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease. nameOfConference

  
  

  DOI: 10.1038/s42003-019-0361-2

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/57678
• Marouli E, Del Greco MF, Astley CM et al. (2019). Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease.. nameOfConference

  
  

  DOI: 10.1038/s42003-019-0361-2

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/66915
• Xie T, Gorenjak V, Stathopoulou MG et al. (publicationYear). Epigenome-Wide Association Study (EWAS) of Blood Lipids in Healthy Population from STANISLAS Family Study (SFS). nameOfConference

  
  

  DOI: 10.3390/ijms20051014

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/58921
• Justice AE, Karaderi T, Highland HM et al. (2019). Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. nameOfConference

  
  

  DOI: 10.1038/s41588-018-0334-2

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/56167
• Erzurumluoglu AM, Liu M, Jackson VE et al. (2020). Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. nameOfConference

  
  

  DOI: 10.1038/s41380-018-0313-0

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/55829
• Brazel DM, Jiang Y, Hughey JM et al. (2018). Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. nameOfConference

  
  

  DOI: 10.1016/j.biopsych.2018.11.024

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/57046
• Hackinger S, Prins B, Mamakou V et al. (publicationYear). Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia. nameOfConference

  
  

  DOI: 10.1038/s41398-018-0304-6

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/54803
• Murphy AM, Murphy L, Smith CE et al. (2017). Meta‐Analysis of 19,005 Individuals Identifies Interplay Between Dietary Saturated Fats and Genetic Variants of the NLRP3 Inflammasome, to Modulate Insulin Resistance and Diabetes Risk. nameOfConference

  
  

  DOI: 10.1096/fasebj.31.1_supplement.644.19

  
  

  QMRO: qmroHref
• Pulit SL, Stoneman C, Morris AP et al. (2019). Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. nameOfConference

  
  

  DOI: 10.1093/hmg/ddy327

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/54849
• Mamakou V, Hackinger S, Zengini E et al. (2018). Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study. nameOfConference

  
  

  DOI: 10.1186/s12888-018-1826-4

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/55312
• Mahajan A, Wessel J, Willems SM et al. (2018). Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. nameOfConference

  
  

  DOI: 10.1038/s41588-018-0084-1

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/56153
• Turcot V, Lu Y, Highland HM et al. (2018). Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. nameOfConference

  
  

  DOI: 10.1038/s41588-017-0011-x

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/34563
• Turcot V, Lu Y, Highland HM et al. (2017). Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.. nameOfConference

  
  

  DOI: 10.1038/s41588-018-0082-3

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/56697
• Marouli E, Kanoni S, Mamakou V et al. (2017). Evaluating the glucose raising effect of established loci via a genetic risk score.. nameOfConference

  
  

  DOI: 10.1371/journal.pone.0186669

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/31465
• Liu DJ, Peloso GM, Yu H et al. (2017). Exome-wide association study of plasma lipids in >300,000 individuals. nameOfConference

  
  

  DOI: 10.1038/ng.3977

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/28624
• Nelson CP, Goel A, Butterworth AS et al. (2017). Association analyses based on false discovery rate implicate new loci for coronary artery disease. nameOfConference

  
  

  DOI: 10.1038/ng.3913

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/25185
• Saleheen D, Zhao W, Young R et al. (2017). Loss of Cardioprotective Effects at the ADAMTS7 Locus as a Result of Gene-Smoking Interactions. nameOfConference

  
  

  DOI: 10.1161/circulationaha.116.022069

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/36324
• Webb TR, Erdmann J, Stirrups KE et al. (2017). Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease.. nameOfConference

  
  

  DOI: 10.1016/j.jacc.2016.11.056

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/19641
• Marouli E, Graff M, Medina-Gomez C et al. (2017). Rare and low-frequency coding variants alter human adult height.. nameOfConference

  
  

  DOI: 10.1038/nature21039

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/23049
• Li M, Li Y, Weeks O et al. (2017). SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. nameOfConference

  
  

  DOI: 10.1681/asn.2016020131

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/36376
• Loley C, Alver M, Assimes TL et al. (2016). No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis.. nameOfConference

  
  

  DOI: 10.1038/srep35278

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/18137
• MUNROE PB (2016). Trans-ancestry meta-analyses identify novel rare and common variants associated with blood pressure and hypertension. nameOfConference

  
  

  DOI: 10.1038/ng.3654

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/13707
• MUNROE PB (publicationYear). The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. nameOfConference

  
  

  DOI: 10.1038/ng.3667

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/15563
• Stitziel NO, Stirrups KE, Masca NGD et al. (2016). Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease. nameOfConference

  
  

  DOI: 10.1056/nejmoa1507652

  
  

  QMRO: qmroHref
• Stitziel NO, Stirrups KE, Masca NGD et al. (2016). Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease (vol 374, pg 1134, 2016). nameOfConference

  
  

  DOI: doi

  
  

  QMRO: qmroHref
• Marouli E, Kanoni S, Dimitriou M et al. (2016). Lifestyle may modify the glucose-raising effect of genetic loci. A study in the Greek population. nameOfConference

  
  

  DOI: 10.1016/j.numecd.2015.10.003

  
  

  QMRO: qmroHref
• Agiannitopoulos K, Bakalgianni A, Marouli E et al. (2016). Gender Specificity of a Genetic Variant of Androgen Receptor and Risk of Coronary Artery Disease. nameOfConference

  
  

  DOI: 10.1002/jcla.21837

  
  

  QMRO: qmroHref
• Wessel J, Chu AY, Willems SM et al. (publicationYear). Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. nameOfConference

  
  

  DOI: 10.1038/ncomms6897

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/18365