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利用来自多个群体的全基因组序列推断复杂的群体历史。

Inference of complex population histories using whole-genome sequences from multiple populations.

机构信息

Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637.

Department of Human Genetics, University of Chicago, Chicago, IL 60637.

出版信息

Proc Natl Acad Sci U S A. 2019 Aug 20;116(34):17115-17120. doi: 10.1073/pnas.1905060116. Epub 2019 Aug 6.

Abstract

There has been much interest in analyzing genome-scale DNA sequence data to infer population histories, but inference methods developed hitherto are limited in model complexity and computational scalability. Here we present an efficient, flexible statistical method, diCal2, that can use whole-genome sequence data from multiple populations to infer complex demographic models involving population size changes, population splits, admixture, and migration. Applying our method to data from Australian, East Asian, European, and Papuan populations, we find that the population ancestral to Australians and Papuans started separating from East Asians and Europeans about 100,000 y ago, and that the separation of East Asians and Europeans started about 50,000 y ago, with pervasive gene flow between all pairs of populations.

摘要

人们一直热衷于分析基因组规模的 DNA 序列数据,以推断种群历史,但迄今为止开发的推断方法在模型复杂性和计算可扩展性方面受到限制。在这里,我们提出了一种高效、灵活的统计方法 diCal2,它可以使用来自多个种群的全基因组序列数据来推断涉及种群大小变化、种群分裂、混合和迁移的复杂人口模型。将我们的方法应用于来自澳大利亚、东亚、欧洲和巴布亚人群的数据,我们发现澳大利亚人和巴布亚人的祖先种群与东亚人和欧洲人大约在 10 万年前开始分离,而东亚人和欧洲人大约在 5 万年前开始分离,所有人群之间都有广泛的基因流。

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