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利用单核苷酸多态性频率谱探索种群大小变化。

Exploring population size changes using SNP frequency spectra.

作者信息

Liu Xiaoming, Fu Yun-Xin

机构信息

Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.

Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.

出版信息

Nat Genet. 2015 May;47(5):555-9. doi: 10.1038/ng.3254. Epub 2015 Apr 6.

Abstract

Inferring demographic history is an important task in population genetics. Many existing inference methods are based on predefined simplified population models, which are more suitable for hypothesis testing than exploratory analysis. We developed a novel model-flexible method called stairway plot, which infers changes in population size over time using SNP frequency spectra. This method is applicable for whole-genome sequences of hundreds of individuals. Using extensive simulation, we demonstrate the usefulness of the method for inferring demographic history, especially recent changes in population size. We apply the method to the whole-genome sequence data of 9 populations from the 1000 Genomes Project and show a pattern of fluctuations in human populations from 10,000 to 200,000 years ago.

摘要

推断人口历史是群体遗传学中的一项重要任务。许多现有的推断方法基于预定义的简化群体模型,这些模型更适合用于假设检验而非探索性分析。我们开发了一种名为阶梯图的新型模型灵活方法,该方法利用单核苷酸多态性(SNP)频率谱推断群体大小随时间的变化。此方法适用于数百个个体的全基因组序列。通过广泛的模拟,我们证明了该方法在推断人口历史,特别是群体大小近期变化方面的有用性。我们将该方法应用于千人基因组计划中9个群体的全基因组序列数据,并展示了1万至20万年前人类群体的波动模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d12f/4414822/43acdb1b1a70/nihms-668186-f0001.jpg

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