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On the Utility of Linkage Disequilibrium as a Statistic for Identifying Targets of Positive Selection in Nonequilibrium Populations

机译:关于连锁不平衡作为确定非均衡人口正选择目标的统计数据的效用

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摘要

A critically important challenge in empirical population genetics is distinguishing neutral nonequilibrium processes from selective forces that produce similar patterns of variation. We here examine the extent to which linkage disequilibrium (i.e., nonrandom associations between markers) improves this discrimination. We show that patterns of linkage disequilibrium recently proposed to be unique to hitchhiking models are replicated under nonequilibrium neutral models. We also demonstrate that jointly considering spatial patterns of association among variants alongside the site-frequency spectrum is nonetheless of value. Through a comparison of models of equilibrium neutrality, nonequilibrium neutrality, equilibrium hitchhiking, nonequilibrium hitchhiking, and recurrent hitchhiking, we evaluate a linkage disequilibrium (LD) statistic (ωmax) that appears to have power to identify regions recently shaped by positive selection. Most notably, for demographic parameters relevant to non-African populations of Drosophila melanogaster, we demonstrate that selected loci are distinguishable from neutral loci using this statistic.
机译:经验种群遗传学中​​的一个至关重要的挑战是将中性非平衡过程与产生相似变异模式的选择力区分开来。在这里,我们研究了连锁不平衡(即标记之间的非随机关联)改善这种区分的程度。我们表明,最近提出的对于搭便车模型而言是唯一的连锁不平衡模式在非平衡中性模型下得以复制。我们还证明,共同考虑变体之间的关联空间模式以及站点频谱仍然是有价值的。通过比较平衡中性,非平衡中性,平衡搭便车,非平衡搭便车和经常性搭便车的模型,我们评估了连锁不平衡(LD)统计量(ωmax),该统计量似乎具有识别最近由正选择形成的区域的能力。最值得注意的是,对于与黑腹果蝇非非洲人群有关的人口统计参数,我们证明了使用该统计数据可以区分选定的基因座与中性基因座。

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