A Genome-Wide Association Study on Obesity and Obesity-Related Traits

作者：Wang Kai^*; Li Wei Dong; Zhang Clarence K; Wang Zuoheng; Glessner Joseph T; Grant Struan F A; Zhao Hongyu; Hakonarson Hakon; Price R Arlen

来源：PLos One, 2011, 6(4): e18939.

DOI：10.1371/journal.pone.0018939

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/m(2)) and 540 control subjects (BMI, 25 kg/m(2)), on measures of obesity and obesity-related traits. We subsequently followed up obesity-associated signals by genotyping the top similar to 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 x 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 x 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.

• 出版日期2011-4-28