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利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 肥胖是一种可遗传的特征，也是高血压、心脏病和2型糖尿病等高发常见病的主要风险因素。肥胖是世界范围内一个主要的公共卫生问题。此前，我们在NHLBI家庭血压计划(FBPP)的非裔美国人(AA)参与者中表明，BMI与非洲血统呈正相关。利用基因组中284个标记位置的个体祖先(IA)估计，我们现在提出了同一群体中身体质量指数(BMI)的定量混合作图(QAM)分析。我们使用了一组来自尼日利亚的无关个体来代表非洲祖先人口，并将FBPP中的欧洲裔美国人作为欧洲祖先人口。这项分析基于一组在所有三组中进行基因分型的284个微卫星标记的共同集合。在回归分析中，我们将数量性状BMI作为响应变量，以欧洲血统的标记位置特定超额作为解释变量。在适当调整不同的协变量，如性别、年龄和研究中心后，我们发现在染色体3q29和5q14上与欧洲血统呈正相关，在染色体15q26上与欧洲血统呈负相关。这些结果提示，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.