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厘清人口统计学和选择在人类历史中的影响。

Disentangling the effects of demography and selection in human history.

作者信息

Stajich Jason E, Hahn Matthew W

机构信息

Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA.

出版信息

Mol Biol Evol. 2005 Jan;22(1):63-73. doi: 10.1093/molbev/msh252. Epub 2004 Sep 8.

Abstract

Demographic events affect all genes in a genome, whereas natural selection has only local effects. Using publicly available data from 151 loci sequenced in both European-American and African-American populations, we attempt to distinguish the effects of demography and selection. To analyze large sets of population genetic data such as this one, we introduce "Perlymorphism," a Unix-based suite of analysis tools. Our analyses show that the demographic histories of human populations can account for a large proportion of effects on the level and frequency of variation across the genome. The African-American population shows both a higher level of nucleotide diversity and more negative values of Tajima's D statistic than does a European-American population. Using coalescent simulations, we show that the significantly negative values of the D statistic in African-Americans and the positive values in European-Americans are well explained by relatively simple models of population admixture and bottleneck, respectively. Working within these nonequilibrium frameworks, we are still able to show deviations from neutral expectations at a number of loci, including ABO and TRPV6. In addition, we show that the frequency spectrum of mutations--corrected for levels of polymorphism--is correlated with recombination rate only in European-Americans. These results are consistent with repeated selective sweeps in non-African populations, in agreement with recent reports using microsatellite data.

摘要

人口统计学事件会影响基因组中的所有基因,而自然选择只具有局部效应。利用从欧美人群和非裔美国人群中测序的151个基因座的公开数据,我们试图区分人口统计学和选择的影响。为了分析如此庞大的群体遗传数据集,我们引入了“Perlymorphism”,这是一套基于Unix的分析工具。我们的分析表明,人类群体的人口统计学历史可以解释基因组变异水平和频率上的很大一部分影响。非裔美国人群体比欧美人群体表现出更高的核苷酸多样性水平和更多负的 Tajima's D 统计量值。通过溯祖模拟,我们表明非裔美国人中D统计量的显著负值和欧美人群体中的正值分别可以通过相对简单的群体混合和瓶颈模型得到很好的解释。在这些非平衡框架内,我们仍然能够在包括ABO和TRPV6在内的许多基因座上显示出偏离中性预期的情况。此外,我们表明,经多态性水平校正后的突变频率谱仅在欧美人群体中与重组率相关。这些结果与非非洲人群体中反复发生的选择性清除一致,这与最近使用微卫星数据的报告相符。

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