Health Research Methods, Evidence, and Impact

David Meyre

David Meyre

PhD (France)

Associate Professor, Dept of Health Research Methods, Evidence, and Impact

Joint Member, Department of Pathology & Molecular Medicine

Member: Population Genomics Program

McMaster University
Michael DeGroote Centre for Learning & Discovery, Room 3205
905.525.9140 x 26802

Assistant: Christine Langlois

Lab website:

Currently accepting Undergraduate (ideally students entering 3rd year) and Graduate students


Academic Interests

David Meyre completed a PhD in quantitative plant genetics in France. Since 2001, he is working on the elucidation of the genetic bases of obesity and type 2 diabetes. He published the first family-based genome-wide scan for childhood obesity, which identified a significant region for linkage on chromosome 6q. He completed the first successful positional cloning effort for childhood obesity, which identified the positional candidate gene ENPP1. He participated to the identification of FTO, the major susceptibility gene for polygenic obesity. David Meyre was part of the team who published the first genome-wide association study (GWAS) in complex diseases in 2007. In 2009, David Meyre published the first genome-wide association study of extreme obesity in the French population and identified four novel susceptibility-loci. He also evidenced for the first time interactions between Mendelian / polygenic obesity genes and the Western environment In 2010, he conducted the first genome-wide association meta-analysis for early-onset extreme obesity in German and French populations, leading to the identification of two novel childhood obesity predisposing loci. The same year, he contributed to the identification of the first structural variant associated to Mendelian severe obesity. In 2012, he identified the third more common form of monogenic obesity (PCSK1 partial deficiency) and proved an important role of the lipid sensor GPR120 in human obesity. He participated to an international meta-analysis effort involving more than 20,000 kids that identified nine loci contributing to childhood obesity. He also discovered the first common genetic variant reliably associated with major depression disorder. In 2013, he contributed to the identification of seven novel loci contributing to adult obesity in a study including more than 260,000 people, and discovered a novel gene (SIM1) responsible for a syndromic Mendelian form of childhood obesity. In 2014, he identified that blood glucose level one hour after an oral glucose tolerance test is the stronger predictor to date of the future risk of type 2 diabetes.

 With 137 articles published up to date (79 appeared in top-tier journals including Nature, Science, Nature Genetics...), more than 12,000 citations and a H-index of 45, Dr Meyre is an internationally recognized expert in genetic epidemiology of obesity and its complications. Dr Meyre is developing an ambitious and multidisciplinary obesity genetic research program at McMaster University to provide an exhaustive picture of the etiology of this complex disorder and to equip the decision makers with the appropriate tools in order to tackle obesity and its complications worldwide. His current research interests include 1) gene identification in diverse ethnic groups 2) gene x environment interactions 3) evolutionary genetics 4) integrative biology 5) scientific watch and development of new guidelines and methods 6) knowledge synthesis and translation 7) evidence-based personalized prevention and medicine

Selected Publications

  1. Alyass A, Almgren P, Akerlund M, Dushoff J, Isomaa B, Nilsson P, Tuomi T, Lyssenko V, Groop L, Meyre D. Modeling of oral glucose tolerance test curve identifies one-hour plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohort studies. Diabetologia, in press.
  2. Montagne L, Raimondo A, Delobel B, Duban-Bedu B, Stutzmann-Noblet F, Dechaume A, Bersten DC, Meyre D, Whitelaw ML, Froguel P, Bonnefond A. Identification of two novel loss-of-function SIM1 mutations in two children with developmental delay. Obesity. 2014, Sep 19.
  3. Li A, Meyre D. Jumping in the train of genomic medicine: a primer for non-geneticist clinicians. Part 3. Clinical applications in the personalized medicine area. Curr Psychiatry Rev, 2014, 10, 118-132.
  4. Li A, Meyre D. Jumping in the train of genomic medicine: a primer for non-geneticist clinicians. Part 2. Fundamental concepts in genetic epidemiology. Curr Psychiatry Rev, 2014, 10, 101-117.
  5. Li A, Meyre D. Jumping in the train of genomic medicine: a primer for non-geneticist clinicians. Part 1: Fundamental concepts in molecular genetics. Curr Psychiatry Rev, 2014, 10, 91-100.
  6. Samaan Z, Anand S, Zhang X, Desai D, Rivera-Sanchez M, Pare G, Thabane L, Xie C, Gerstein H, Engert JC, McGuffin P, Farmer AE, Craig I, Lewis CM, Cohen-Woods S, Breen G, Mohan V, Diaz R, Wang X, Liu L, Corre T, Preisig M, Kutalik Z, Bergmann S, Vollenweider P, Waeber G, Yusuf S, Meyre D. The protective effect of the obesity associated rs9939609 A variant in fat mass and obesity associated gene on depression. Mol Psychiatry, 2013 Dec;18(12):1281-6.
  7. Robiou-du-Pont S, Bonnefond A, Yengo L, Vaillant E, Lobbens S, Durand E, Weill J, Lantieri O, Balkau B, Charpentier G, Marre M, Froguel P, Meyre D. Contribution of 24 obesity associated genetic variants to insulin resistance, pancreatic beta-cell function and type 2 diabetes risk in the French population. Int J Obes, 2013 Jul; 37(7):980-85.
  8. Bonnefond A, Raimondo A, Stutzmann F, Ghoussaini M, Ramachandrappa S, Bersten DC, Durand E, Vatin V, Balkau B, Lantieri O, Raverdi V, Pattou F, Van Hul W, Van Gaal L, Peet D, Weill J, Miller JL, Horber F, Goldstone A, Driscoll DJ, Bruning JB, Meyre D, Whitelaw M, Froguel P. Loss-of-function mutations in SIM1 contribute to obesity and Prader-Willi-Like-related features, J Clin Invest, 2013 Jun 17.
  9. Robiou du Pont S, Yengo L, Vaillant E, Lobbens S, Durand E, Horber F, Lantieri O, Marre M, Balkau B, Froguel P, Meyre D. Common variants near BDNF and SH2B1 show nominal evidence of association with snacking behavior in European populations. J Mol Med, 2013 May 3.
  10. Li A, Meyre D. Challenges in Reproducibility of Genetic Association Studies: Lessons Learned from the Obesity Field. Int J Obes, 2013 Apr;37(4):559-67.

Search for citations for Dr. Meyre on PubMed