Dataset Information

Genome-wide population-based association study of extremely overweight young adults--the GOYA study.

ABSTRACT: 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.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<0.001) from the discovery cohort in a genome-wide study of 5,846 Europeans, before attempting to replicate the most strongly associated 28 SNPs in an independent sample of Danish individuals (n?=?20,917) and a population-based cohort of 15-year-old British adolescents (n?=?2,418). Our discovery analysis identified SNPs at three loci known to be associated with BMI with genome-wide confidence (P<5×10(-8); FTO, MC4R and FAIM2). We also found strong evidence of association at the known TMEM18, GNPDA2, SEC16B, TFAP2B, SH2B1 and KCTD15 loci (p<0.001), and nominal association (p<0.05) at a further 8 loci known to be associated with BMI. However, meta-analyses of our discovery and replication cohorts identified no novel associations.Our results indicate that the detectable genetic variation associated with extreme overweight is very similar to that previously found for general BMI. This suggests that population-based study designs with enriched sampling of individuals with the extreme phenotype may be an efficient method for identifying common variants that influence quantitative traits and a valid alternative to genotyping all individuals in large population-based studies, which may require tens of thousands of subjects to achieve similar power.

SUBMITTER: Paternoster L

PROVIDER: S-EPMC3174168 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Genome-wide population-based association study of extremely overweight young adults--the GOYA study.

Paternoster Lavinia L Evans David M DM Nohr Ellen Aagaard EA Holst Claus C Gaborieau Valerie V Brennan Paul P Gjesing Anette Prior AP Grarup Niels N Witte Daniel R DR Jørgensen Torben T Linneberg Allan A Lauritzen Torsten T Sandbaek Anelli A Hansen Torben T Pedersen Oluf O Elliott Katherine S KS Kemp John P JP St Pourcain Beate B McMahon George G Zelenika Diana D Hager Jörg J Lathrop Mark M Timpson Nicholas J NJ Smith George Davey GD Sørensen Thorkild I A TI

PloS one 20110915 9

<h4>Background</h4>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 ge ...[more]

PMID: 21935397

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Project description:Lay abstract: It has been proposed that autistic-like traits in the general population lie on a continuum, with clinical Autism Spectrum Disorder (ASD), representing the extreme end of this distribution. The current study undertook a genome-wide association (GWA) scan of 965 young Western Australian adults to identify novel risk variants associated with autistic-like traits. No associations reached genome-wide significance; however, a review of nominally associated single nucleotide polymorphisms (SNPs) indicated two positional candidate loci that have been previously implicated in autistic-like trait etiology. Scientific abstract: Research has proposed that autistic-like traits in the general population lie on a continuum, with clinical ASD representing the extreme end of this distribution. Inherent in this proposal is that biological mechanisms associated with clinical ASD may also underpin variation in autistic-like traits within the general population. A GWA study using 2,462,046 SNPs was undertaken for ASD in 965 individuals from the Western Australian Pregnancy Cohort (Raine) Study. No SNP associations reached genome-wide significance (p?<?5.0?×?10(-8)). However, investigations into nominal observed SNP associations (p?<?1.0?×?10(-5)) add support to two positional candidate genes previously implicated in ASD etiology, PRKCB1, and CBLN1. The rs198198 SNP (p?=?9.587?×?10(-6)), is located within an intron of the protein kinase C, beta 1 (PRKCB1) gene on chromosome 16p11. The PRKCB1 gene has been previously reported in linkage and association studies for ASD, and its mRNA expression has been shown to be significantly down regulated in ASD cases compared with controls. The rs16946931 SNP (p?=?1.78?×?10(-6)) is located in a region flanking the Cerebellin 1 (CBLN1) gene on chromosome 16q12.1. The CBLN1 gene is involved with synaptogenesis and is part of a gene family previously implicated in ASD. This GWA study is only the second to examine SNPs associated with autistic-like traits in the general population, and provides evidence to support roles for the PRKCB1 and CBLN1 genes in risk of clinical ASD.

Dataset Information

Genome-wide population-based association study of extremely overweight young adults--the GOYA study.

Publications

Genome-wide population-based association study of extremely overweight young adults--the GOYA study.

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