ADMIXTURE MAPPING OF QUANTITATIVE TRAIT LOCI FOR BMI IN AFRICAN-AMERICANS

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 肥胖是一种遗传特征，也是高血压、心脏病和2型糖尿病等常见疾病的主要危险因素。肥胖症是全球主要的公共卫生问题。以前，我们表明，BMI与非裔美国人（AA）在NHLBI的家庭血压计划（FBPP）的参与者中的非洲血统呈正相关。 使用个体遗传学（IA）在整个基因组的284个标记位置的估计，我们现在提出了一个定量混合映射（QAM）分析的体重指数（BMI）在同一人群中。我们使用一组来自尼日利亚的无关个体来代表非洲祖先群体，并将FBPP中的欧洲裔美国人作为欧洲祖先群体。该分析基于所有三组中共有的284个微卫星标记基因分型。我们认为数量性状，BMI，作为回归分析中的响应变量，与标记位置特定的欧洲血统过剩作为解释变量。在适当调整不同的协变量，如性别，年龄和研究中心，我们发现了强有力的证据，与欧洲血统在染色体位置3q 29和5 q14和染色体15 q26的负相关。这些结果表明，这些区域可能含有影响AA人群BMI的基因。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Obesity is a heritable trait and a major risk factor for highly prevalent common diseases such as hypertension, cardiac diseases and type 2 diabetes. Obesity is a major public health concern worldwide. Previously we showed that BMI was positively correlated with African ancestry among the African American (AA) participants in the NHLBI's Family Blood Pressure Program (FBPP). Using Individual Ancestry (IA) estimates at 284 marker locations across the genome, we now present a Quantitative Admixture Mapping (QAM) analysis of body mass index (BMI) in the same population. We used a set of unrelated individuals from Nigeria to represent the African ancestral population and the European Americans in the FBPP as the European ancestral population. The analysis was based on a common set of 284 microsatellite markers genotyped in all three groups. We considered the quantitative trait, BMI, as the response variable in a regression analysis, with the marker location specific excess of European ancestry as the explanatory variable. After suitably adjusting for different covariates such as sex, age and study center, we found strong evidence for a positive association with European ancestry at chromosome locations 3q29 and 5q14 and a negative association on chromosome 15q26. These results suggest that these regions may harbor genes influencing BMI in the AA population.