Rogers Alan R, Bohlender Ryan J
Department of Anthropology, 270 S 1400 E, University of Utah, Salt Lake City, UT 84112, United States.
Theor Popul Biol. 2015 Mar;100C:63-78. doi: 10.1016/j.tpb.2014.12.006. Epub 2015 Jan 6.
This article evaluates bias in one class of methods used to estimate archaic admixture in modern humans. These methods study the pattern of allele sharing among modern and archaic genomes. They are sensitive to "ghost" admixture, which occurs when a population receives archaic DNA from sources not acknowledged by the statistical model. The effect of ghost admixture depends on two factors: branch-length bias and population-size bias. Branch-length bias occurs because a given amount of admixture has a larger effect if the two populations have been separated for a long time. Population-size bias occurs because differences in population size distort branch lengths in the gene genealogy. In the absence of ghost admixture, these effects are small. They become important, however, in the presence of ghost admixture. Estimators differ in the pattern of response. Increasing a given parameter may inflate one estimator but deflate another. For this reason, comparisons among estimators are informative. Using such comparisons, this article supports previous findings that the archaic population was small and that Europeans received little gene flow from archaic populations other than Neanderthals. It also identifies an inconsistency in estimates of archaic admixture into Melanesia.
本文评估了用于估计现代人类古代基因混合的一类方法中的偏差。这些方法研究现代和古代基因组之间的等位基因共享模式。它们对“幽灵”混合敏感,即当一个群体从统计模型未认可的来源获得古代DNA时发生的情况。幽灵混合的影响取决于两个因素:分支长度偏差和种群大小偏差。分支长度偏差的出现是因为如果两个群体已经分离很长时间,给定数量的混合会产生更大的影响。种群大小偏差的出现是因为种群大小的差异会扭曲基因谱系中的分支长度。在没有幽灵混合的情况下,这些影响很小。然而,在存在幽灵混合的情况下,它们就变得很重要了。估计器在响应模式上有所不同。增加给定参数可能会使一个估计器膨胀,但使另一个估计器缩小。因此,估计器之间的比较是有意义的。利用这种比较,本文支持了先前的研究结果,即古代种群规模较小,而且欧洲人除了从尼安德特人那里获得的基因流动外,从其他古代种群那里获得的基因流动很少。它还指出了对美拉尼西亚古代基因混合估计中的一个不一致之处。