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arXiv 1303.7475q-bio.PE
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从遗传数据中检测范围扩展

Detecting range expansions from genetic data

Benjamin M Peter, Montgomery Slatkin

摘要:

我们提出了一种方法,使用遗传数据来测试最近的范围扩张的发生,并推断出扩张的起源的位置。我们引入了一个统计对人口$ψ$(方向性指数),检测在二维等位基因频率谱的不对称性所造成的一系列的创始人事件发生在扩张。这种不对称性的出现是因为低频等位基因往往在奠基者事件中丢失,从而在幸存的低频等位基因的频率中产生倾斜。使用模拟,我们进一步表明,$ψ$是更强大的检测范围扩展比$F_{ST}$和杂合性的品系。我们通过将其应用于现代人类的数据集来说明$ψ$的实用性,并展示了我们如何在模型中包括更复杂的场景,如多个扩展源或迁移障碍。

英文摘要:

We propose a method that uses genetic data to test for the occurrence of a recent range expansion and to infer the location of the origin of the expansion. We introduce a statistic for pairs of populations $ψ$ (the directionality index) that detects asymmetries in the two-dimensional allele frequency spectrum caused by the series of founder events that happen during an expansion. Such asymmetry arises because low frequency alleles tend to be lost during founder events, thus creating clines in the frequencies of surviving low-frequency alleles. Using simulations, we further show that $ψ$ is more powerful for detecting range expansions than both $F_{ST}$ and clines in heterozygosity. We illustrate the utility of $ψ$ by applying it to a data set from modern humans and show how we can include more complicated scenarios such as multiple expansion origins or barriers to migration in the model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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