文章基本信息

标题：Inference of complex population histories using whole-genome sequences from multiple populations
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作者：Matthias Steinrücken ; Matthias Steinrücken ; Jack Kamm 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2019
卷号：116
期号：34
页码：17115-17120
DOI：10.1073/pnas.1905060116
出版社：The National Academy of Sciences of the United States of America
摘要：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.
关键词：coalescent ; population genetics ; demography ; statistical inference