David Meyre

ORCID: 0000-0003-4850-7444
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Diet and metabolism studies
  • Regulation of Appetite and Obesity
  • Birth, Development, and Health
  • Nutrition, Genetics, and Disease
  • Pancreatic function and diabetes
  • Obesity, Physical Activity, Diet
  • Diet, Metabolism, and Disease
  • Adipose Tissue and Metabolism
  • Biochemical Analysis and Sensing Techniques
  • Liver Disease Diagnosis and Treatment
  • Adipokines, Inflammation, and Metabolic Diseases
  • Genetic Mapping and Diversity in Plants and Animals
  • Epigenetics and DNA Methylation
  • Diabetes and associated disorders
  • Genetics and Neurodevelopmental Disorders
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Genomics and Rare Diseases
  • Genetic and phenotypic traits in livestock
  • Cardiovascular Disease and Adiposity
  • Diabetes Treatment and Management
  • Eating Disorders and Behaviors
  • Health and Lifestyle Studies
  • Gestational Diabetes Research and Management
  • RNA modifications and cancer

McMaster University
2015-2025

Impact
2017-2025

Université de Lorraine
2016-2025

Inserm
2016-2025

Laguna Research
2023

Nutrition-Génétique et Exposition aux Risques Environnementaux
2023

Stress Environnementaux et Biosurveillance des Milieux Aquatiques
2023

Centre Hospitalier Régional et Universitaire de Nancy
2020-2021

Institut Pasteur de Lille
2006-2020

Centre National de la Recherche Scientifique
2006-2020

Candidate gene and genome-wide association studies have led to the discovery of nine loci involved in Mendelian forms obesity 58 contributing polygenic obesity. These explain a small fraction heritability for many genes remain be discovered. However, efforts identification greatly modified our understanding this disorder. In review, we propose an overlook major lessons learned from 15 years research field genetics We comment on existence genetic continuum between monogenic that pinpoints...

10.2174/138920211795677895 article EN Current Genomics 2011-05-01

The emerging picture of type 2 diabetes genetics involves differently assembled gene variants, each modestly increasing risk with environmental exposure. However, the relevance these genes for disease prediction has not been extensively tested.We analyzed 19 common polymorphisms 14 known candidate their contribution to prevalence and incidence glucose intolerance in DESIR (Data from an Epidemiological Study on Insulin Resistance syndrome) prospective study middle-aged Caucasian subjects,...

10.2337/db07-0615 article EN Diabetes 2007-11-01

Advances in genomics technology have led to a dramatic increase the number of published genetic association studies. Systematic reviews and meta-analyses are common method synthesizing findings providing reliable estimates effect variant on trait interest. However, summary subject bias due varying methodological quality individual We embarked an effort develop evaluate tool that assesses Performance characteristics (i.e. validity, reliability, item discrimination) were evaluated using sample...

10.1186/s12863-015-0211-2 article EN cc-by BMC Genomic Data 2015-05-14
Jonathan P. Bradfield Rachel L. Kember Anna Ulrich Zhanna Balkhiyarova Akram Alyass and 95 more Izzuddin M. Aris Joshua A. Bell K. Alaine Broadaway Zhanghua Chen Jin Fang Chai Neil M Davies Dietmar Fernández‐Orth Mariona Bustamante Ruby Fore Amitavo Ganguli Anni Heiskala Jouke‐Jan Hottenga Carmen Íñiguez Sayuko Kobes Jaakko T. Leinonen Estelle Lowry Leo‐Pekka Lyytikäinen Anubha Mahajan Niina Pitkänen Theresia M. Schnurr Henri Theil David P. Strachan Elisabeth Thiering Suzanne Vogelezang Kaitlin H. Wade Carol A. Wang Andrew Wong Louise Aas Holm Alessandra Chesi Catherine S. Choong Miguel Cruz Paul Elliott Steve Franks Christine Frithioff‐Bøjsøe W. James Gauderman Joseph Glessner Vicente Gilsanz Kendra Griesman Robert L. Hanson Marika Kaakinen Heidi J. Kalkwarf Andrea Kelly Joseph M. Kindler Mika Kähönen Carla Lança Joan M. Lappe Sang Lee Shana E. McCormack Frank Mentch Jonathan A. Mitchell Nina Mononen Harri Niinikoski Emily Oken Katja Pahkala Xueling Sim Yik‐Ying Teo Leslie J. Baier C.E.M. van Beijsterveldt Linda S. Adair Dorret I. Boomsma Eco J. C. de Geus Mònica Guxens Johan G. Eriksson Janine F. Felix Frank D. Gilliland Penn Medicine BioBank Torben Hansen Rebecca Hardy Marie‐France Hivert Jens‐Christian Holm Vincent W. V. Jaddoe Marjo‐Riitta Järvelin Terho Lehtimäki David A. Mackey David Meyre Karen L. Mohlke Juha Mykkänen Sharon E. Oberfield Craig E. Pennell John R. B. Perry Olli T. Raitakari Fernando Rivadeneira Seang‐Mei Saw Sylvain Sebért John Shepherd Marie Standl Thorkild I. A. Sørensen Nicholas J. Timpson Maties Torrent Gonneke Willemsen Elina Hyppönen Chris Power Mark I. McCarthy Rachel M. Freathy Elisabeth Widén

Pubertal growth patterns correlate with future health outcomes. However, the genetic mechanisms mediating trajectories remain largely unknown. Here, we modeled longitudinal height Super-Imposition by Translation And Rotation (SITAR) curve analysis on ~ 56,000 trans-ancestry samples repeated measurements from age 5 years to adulthood. We performed six phenotypes representing magnitude, timing, and intensity of pubertal spurt. To investigate lifelong impact variants associated trajectories,...

10.1186/s13059-023-03136-z article EN cc-by Genome biology 2024-01-16

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a chronic liver disease affecting 25% of the European population, with rising global incidence. damage includes ballooning, steatosis, inflammation and fibrosis. Associated brain disorders include sleep, cognitive issues, anxiety, depression. While neurological complications in advanced MASLD are well documented, early cerebral manifestations remain largely unexplored. This study aimed at developing an rat model to assess...

10.1038/s41598-025-94234-4 article EN cc-by-nc-nd Scientific Reports 2025-03-27

Considering that a portion of the heterogeneity amongst previous replication studies may be due to variable proportion obese subjects in case-control designs, we assessed association genetic variants with type 2 diabetes (T2D) large groups and non-obese subjects.We genotyped RETN, KCNJ11, HNF4A, HNF1A, GCK, SLC30A8, ENPP1, ADIPOQ, PPARG, TCF7L2 polymorphisms 1,283 normoglycemic (NG) 1,581 T2D individuals as well 3,189 NG 1,244 European descent, allowing us examine risk over wide range...

10.1186/1471-2350-9-45 article EN cc-by BMC Medical Genetics 2008-05-22

Obesity is a global health problem that gradually affecting each continent of the world. heterogeneous disorder, and biological causes obesity are complex. The rapid increase in prevalence during past few decades due to major societal changes (sedentary lifestyle, over-nutrition) but who becomes obese at individual level determined great extent by genetic susceptibility. In this review, we evidence strongly heritable provide an update on molecular basis obesity. To date, nine loci have been...

10.2174/138920211795677921 article EN Current Genomics 2011-05-01
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