Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), New Delhi, India.
J Genet. 2008 Apr;87(1):3-20. doi: 10.1007/s12041-008-0002-x.
Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (>10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations.
对不同人群中与疾病或药物反应相关基因上的标记物频率谱进行分析，对于剖析常见疾病至关重要。我们报告了对来自75个此类基因的405个单核苷酸多态性（SNP）以及一条5.2兆碱基染色体、22个基因组区域的数据进行分析的结果，这些数据来自1871名个体，他们分属于55个不同的印度内婚群体。其中包括32个大型群体（超过1000万人）和23个孤立群体，代表了印度人口的很大一部分。我们观察到，在很大程度上基于种族和语言聚类的人群组之间存在高度的遗传差异。印度人群不仅与国际人类基因组单体型图（HapMap）人群的多样性有重叠，还包含基因上独特的人群组。这些数据和结果有助于解决复杂性状中的分层和研究设计问题，特别是对于异质人群。
