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The William Harvey Research Institute - Barts and The London

Dr Eirini Marouli

Eirini

Lecturer in Computational Biology

Email: e.marouli@qmul.ac.uk

Profile

ORCID iD: https://orcid.org/0000-0001-6179-1609

Dr Eirini Marouli is an Assistant Professor in Computational Biology at the William Harvey Research Institute, Queen Mary University of London.

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, where she acquired analytical skills in statistical genetics. 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).


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)

Twitter

@MarouliEirini


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Research

Dr Marouli’s research interests lie at the interface of genetics, bioinformatics and statistics, in order to achieve a better understanding of human biology and disease prediction with the use of “Big Data”. 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 genetic 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. 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, and also studies the genetics of thyroid 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, to elucidate the genetic interplay between risk factors and disease.

Key Publications

For a full list of publications please click click here
 

  • Marouli, E., et al. "Rare and low-frequency coding variants alter human adult height." Nature (2017) 542(7640): 186-190  
  • Marouli, E. et al. “Mendelian Randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease” Communications Biology (2019) 2(1), 119                   
  • Nelson CP, Goel A, Butterworth AS, Kanoni S, Webb TR, Marouli E. et al. “Association analyses based on false discovery rate implicate new loci for coronary artery disease” Nature Genetics (2017) 49, 1385-1391    
  • Justice AE, Karaderi T, Highland HM, Young KL, Graff M, Lu Y, Turcot V, Auer PL, Fine RS, Guo X, Schurmann C, Lempradl A, Marouli E, et al. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nature Genetics (2019)
  • Turcot V, Lu Y, Highland HM, Schurmann C, Justice AE, Fine RS, Bradfield JP, Esko T, Giri A, Graff M, Guo X, Hendricks AE, Karaderi T, Lempradl A, Locke AE, Mahajan A, Marouli E., et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics (2018) 50(1): p. 26-41.
  • Marouli, E., et al. (2017). "Evaluating the glucose raising effect of established loci via a genetic risk score." PLoS One (2017) 12(11)
  • Marouli E, et al. “Lifestyle may modify the glucose-raising effect of genetic loci. A study in the Greek population. Nutrition, metabolism, and cardiovascular diseases"  NMCD (2016) 26: 201-206                                                                          

Collaborators

Internal


External

  • Joel Hirschhorn (Harvard)
  • Tim Frayling (Exeter)
  • Zoltan Kutalik (Switzerland)
  • Adam E. Locke (Washington University)
  • Sailaja Vedantam (Harvard)
  • Loïc Yengo (University of Queensland)
  • Marco Medici (Erasmus, The Netherlands)
  • Aleksander Kus (Erasmus, The Netherlands)
  • Alexander Teumer (Germany)
  • Sonja Berndt (NIH)