Testing for Ancient Admixture between Closely Related Populations

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ID: 295301
2011
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Abstract
One enduring question in evolutionary biology is the extent of archaic admixture in the genomes of present-day populations. In this paper, we present a test for ancient admixture that exploits the asymmetry in the frequencies of the two nonconcordant gene trees in a three-population tree. This test was first applied to detect interbreeding between Neandertals and modern humans. We derive the analytic expectation of a test statistic, called the D statistic, which is sensitive to asymmetry under alternative demographic scenarios. We show that the D statistic is insensitive to some demographic assumptions such as ancestral population sizes and requires only the assumption that the ancestral populations were randomly mating. An important aspect of D statistics is that they can be used to detect archaic admixture even when no archaic sample is available. We explore the effect of sequencing error on the false-positive rate of the test for admixture, and we show how to estimate the proportion of archaic ancestry in the genomes of present-day populations. We also investigate a model of subdivision in ancestral populations that can result in D statistics that indicate recent admixture.
Reference Key
openalex_W2052395225 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Éric Durand, Nick Patterson, David Reich, Montgomery Slatkin
Journal molecular biology and evolution
Year 2011
DOI
10.1093/molbev/msr048
URL
Keywords Keywords not found

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