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Genome-Wide Population-Based Association Study of Extremely Overweight Young Adults – The GOYA Study

Author

Listed:
  • Lavinia Paternoster
  • David M Evans
  • Ellen Aagaard Nohr
  • Claus Holst
  • Valerie Gaborieau
  • Paul Brennan
  • Anette Prior Gjesing
  • Niels Grarup
  • Daniel R Witte
  • Torben Jørgensen
  • Allan Linneberg
  • Torsten Lauritzen
  • Anelli Sandbaek
  • Torben Hansen
  • Oluf Pedersen
  • Katherine S Elliott
  • John P Kemp
  • Beate St. Pourcain
  • George McMahon
  • Diana Zelenika
  • Jörg Hager
  • Mark Lathrop
  • Nicholas J Timpson
  • George Davey Smith
  • Thorkild I A Sørensen

Abstract

Background: Thirty-two common variants associated with body mass index (BMI) have been identified in genome-wide association studies, explaining ∼1.45% of BMI variation in general population cohorts. We performed a genome-wide association study in a sample of young adults enriched for extremely overweight individuals. We aimed to identify new loci associated with BMI and to ascertain whether using an extreme sampling design would identify the variants known to be associated with BMI in general populations. Methodology/Principal Findings: From two large Danish cohorts we selected all extremely overweight young men and women (n = 2,633), and equal numbers of population-based controls (n = 2,740, drawn randomly from the same populations as the extremes, representing ∼212,000 individuals). We followed up novel (at the time of the study) association signals (p

Suggested Citation

  • Lavinia Paternoster & David M Evans & Ellen Aagaard Nohr & Claus Holst & Valerie Gaborieau & Paul Brennan & Anette Prior Gjesing & Niels Grarup & Daniel R Witte & Torben Jørgensen & Allan Linneberg & , 2011. "Genome-Wide Population-Based Association Study of Extremely Overweight Young Adults – The GOYA Study," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-9, September.
    • Handle: RePEc:plo:pone00:0024303
    DOI: 10.1371/journal.pone.0024303
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    Cited by:

    1. Marie Neergaard Harder & Emil Vincent Rosenbaum Appel & Niels Grarup & Anette Prior Gjesing & Tarunveer S Ahluwalia & Torben Jørgensen & Cramer Christensen & Ivan Brandslund & Allan Linneberg & Thorki, 2015. "The Type 2 Diabetes Risk Allele of TMEM154-rs6813195 Associates with Decreased Beta Cell Function in a Study of 6,486 Danes," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    2. Bo Xi & Giriraj R Chandak & Yue Shen & Qijuan Wang & Donghao Zhou, 2012. "Association between Common Polymorphism near the MC4R Gene and Obesity Risk: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    3. Merete Ellingjord-Dale & Nikos Papadimitriou & Michail Katsoulis & Chew Yee & Niki Dimou & Dipender Gill & Dagfinn Aune & Jue-Sheng Ong & Stuart MacGregor & Benjamin Elsworth & Sarah J Lewis & Richard, 2021. "Coffee consumption and risk of breast cancer: A Mendelian randomization study," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-15, January.
    4. Nicole M Warrington & Yan Yan Wu & Craig E Pennell & Julie A Marsh & Lawrence J Beilin & Lyle J Palmer & Stephen J Lye & Laurent Briollais, 2013. "Modelling BMI Trajectories in Children for Genetic Association Studies," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-12, January.

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