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Population Structure in a Comprehensive Genomic Data Set on Human Microsatellite Variation

机译:人类微卫星变异的综合基因组数据集中的种群结构

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摘要

Over the past two decades, microsatellite genotypes have provided the data for landmark studies of human population-genetic variation. However, the various microsatellite data sets have been prepared with different procedures and sets of markers, so that it has been difficult to synthesize available data for a comprehensive analysis. Here, we combine eight human population-genetic data sets at the 645 microsatellite loci they share in common, accounting for procedural differences in the production of the different data sets, to assemble a single data set containing 5795 individuals from 267 worldwide populations. We perform a systematic analysis of genetic relatedness, detecting 240 intra-population and 92 inter-population pairs of previously unidentified close relatives and proposing standardized subsets of unrelated individuals for use in future studies. We then augment the human data with a data set of 84 chimpanzees at the 246 loci they share in common with the human samples. Multidimensional scaling and neighbor-joining analyses of these data sets offer new insights into the structure of human populations and enable a comparison of genetic variation patterns in chimpanzees with those in humans. Our combined data sets are the largest of their kind reported to date and provide a resource for use in human population-genetic studies.
机译:在过去的二十年中,微卫星基因型为人类种群遗传变异的标志性研究提供了数据。但是,已经用不同的程序和标记集准备了各种微卫星数据集,因此很难合成可用数据进行全面分析。在这里,我们将八个人类群体遗传数据集在它们共有的645个微卫星基因座上结合在一起,以解决不同数据集生产过程中的程序差异,从而构成一个包含来自267个全球人群的5795个个体的单个数据集。我们进行了遗传相关性的系统分析,检测了240个先前未知的近亲种群和92个种群对,并提出了不相关个体的标准化子集,以供将来研究使用。然后,我们在84个黑猩猩的246个基因座上与人类样本共有一个数据集,以扩充人类数据。这些数据集的多维标度和邻域关联分析为人类种群的结构提供了新的见解,并使黑猩猩与人类的遗传变异模式得以比较。我们的组合数据集是迄今为止报道的同类数据集中最大的,并且提供了可用于人类种群遗传学研究的资源。

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