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通过群体遗传漂变测量对古代和现代样本进行混合与祖先推断

Admixture and Ancestry Inference from Ancient and Modern Samples through Measures of Population Genetic Drift.

作者信息

Harris Alexandre M, DeGiorgio Michael

机构信息

1 Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA.

出版信息

Hum Biol. 2017 Jan;89(1):21-46. doi: 10.13110/humanbiology.89.1.02.

Abstract

Methods that leverage the information about population history contained within the increasingly abundant genetic sequences of extant and extinct hominid populations are diverse in form and versatile in application. Here, we review key methods recently developed to detect and quantify admixture and ancestry in modern human populations. We begin with an overview of the f- and D-statistics, covering their conceptual principles and important applications, as well as any extensions developed for them. We then cover a combination of more recent and more complex methods for admixture and ancestry inference, discussing tests for direct ancestry between two populations, quantification of admixture in large data sets, and determination of admixture dates. These methods have revolutionized our understanding of human population history and highlight its complexity. Therefore, we emphasize that current methods may not capture this population history in its entirety but nonetheless provide a reasonable picture that is supported by data from multiple methods and from the historical record.

摘要

利用现存和已灭绝的原始人类群体日益丰富的基因序列中所包含的群体历史信息的方法,在形式上多种多样,应用上灵活多变。在此,我们回顾了最近开发的用于检测和量化现代人类群体中混合和祖先成分的关键方法。我们首先概述f统计量和D统计量,涵盖它们的概念原理、重要应用以及为它们开发的任何扩展。然后,我们介绍了用于混合和祖先推断的更新且更复杂的方法组合,讨论了两个群体之间直接祖先关系的测试、大数据集中混合成分的量化以及混合日期的确定。这些方法彻底改变了我们对人类群体历史的理解,并凸显了其复杂性。因此,我们强调当前的方法可能无法完整地捕捉这段群体历史,但尽管如此,它们提供了一个合理的图景,且得到了来自多种方法和历史记录的数据支持。

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