Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Obesity (Silver Spring). 2010 Mar;18(3):563-72. doi: 10.1038/oby.2009.282. Epub 2009 Aug 20.
Obesity is an important cause of morbidity and mortality worldwide. In the United States, the prevalence of obesity is higher in African Americans than whites, even after adjustment for socioeconomic status (SES). This leads to the hypothesis that differences in genetic background may contribute to racial/ethnic differences in obesity-related traits. We tested this hypothesis by conducting a genome-wide admixture mapping scan using 1,350 ancestry-informative single-nucleotide polymorphisms (SNPs) in 3,531 self-identified blacks from the Atherosclerosis Risk in Communities (ARIC) study. We used these markers to estimate the overall proportions of European ancestry (PEAs) for each individual and then scanned for the association between PEA and obesity-related traits (both continuous and dichotomous) at each locus. The median (interquartile range) PEA was 0.151 (0.115). PEA was inversely correlated with continuous BMI, weight, and subscapular skinfold thickness, even after adjusting for socioeconomic factors. In contrast, PEA was positively correlated with BMI-adjusted waist circumference. Using admixture mapping on dichotomized traits, we identified a locus on 2p23.3 to be suggestively associated with BMI (locus-specific lod = 4.11) and weight (locus-specific lod = 4.07). After adjusting for global PEA, each additional copy of a European ancestral allele at the 2p23.3 peak was associated with a BMI decrease of approximately 0.92 kg/m(2) (P = 2.9 x 10(-5)). Further mapping in this region on chromosome 2 may be able to uncover causative variants underlying obesity, which may offer insights into the control of energy homeostasis.
肥胖是全球发病率和死亡率的一个重要原因。在美国,即使在调整了社会经济地位(SES)之后,非裔美国人的肥胖患病率也高于白种人。这导致了这样一种假设,即遗传背景的差异可能导致肥胖相关特征的种族/民族差异。我们通过在 3531 名自我认同的黑人中进行全基因组混合映射扫描来检验这一假设,该研究来自动脉粥样硬化风险社区(ARIC)研究。我们使用这些标记来估计每个个体的欧洲祖先总体比例(PEA),然后在每个基因座扫描 PEA 与肥胖相关特征(连续和二分)之间的关联。中位数(四分位距)PEA 为 0.151(0.115)。PEA 与连续 BMI、体重和肩胛下皮褶厚度呈负相关,即使在调整了社会经济因素后也是如此。相比之下,PEA 与 BMI 调整后的腰围呈正相关。通过对二分特征进行混合映射,我们在 2p23.3 上确定了一个与 BMI(特定基因座 lod = 4.11)和体重(特定基因座 lod = 4.07)有提示性关联的基因座。在调整了全球 PEA 后,2p23.3 峰处每增加一个欧洲祖先等位基因,BMI 就会降低约 0.92kg/m2(P = 2.9×10(-5))。在 2 号染色体的这一区域进行进一步的映射可能能够发现肥胖背后的因果变异,这可能为控制能量平衡提供新的思路。