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- Title
A Genome-Wide Association Study on Obesity and Obesity-Related Traits.
- Authors
Kai Wang; Wei-Dong Li; Zhang, Clarence K.; Zuoheng Wang; Glessner, Joseph T.; Grant, Struan F. A.; Hongyu Zhao; Hakonarson, Hakon; Price, R. Arlen
- Abstract
Large-scale genome-wide association studies (GWAS) have identified many loci associated with body mass index (BMI), but few studies focused on obesity as a binary trait. Here we report the results of a GWAS and candidate SNP genotyping study of obesity, including extremely obese cases and never overweight controls as well as families segregating extreme obesity and thinness. We first performed a GWAS on 520 cases (BMI<35 kg/m²) and 540 control subjects (BMI,25 kg/m2), on measures of obesity and obesity-related traits. We subsequently followed up obesity-associated signals by genotyping the top ∼500 SNPs from GWAS in the combined sample of cases, controls and family members totaling 2,256 individuals. For the binary trait of obesity, we found 16 genome-wide significant signals within the FTO gene (strongest signal at rs17817449, P = 2.5×10-12). We next examined obesity-related quantitative traits (such as total body weight, waist circumference and waist to hip ratio), and detected genome-wide significant signals between waist to hip ratio and NRXN3 (rs11624704, P = 2.67×10-9), previously associated with body weight and fat distribution. Our study demonstrated how a relatively small sample ascertained through extreme phenotypes can detect genuine associations in a GWAS.
- Subjects
OBESITY genetics; GENOMES; BODY mass index; BODY weight; PHENOTYPES; LEANNESS; WAIST-hip ratio; GENETICS; WEIGHT gain
- Publication
PLoS ONE, 2011, Vol 6, Issue 4, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0018939