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

Lavinia Paternoster, Martin 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 and Thorkild I A Sørensen

PLOS ONE, 2011, vol. 6, issue 9, 1-9

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

Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0024303 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 24303&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0024303

DOI: 10.1371/journal.pone.0024303

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().