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A powerful score test to detect positive selection in genome-wide scans.

机译:功能强大的分数测试,可检测全基因组扫描中的阳性选择。

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摘要

One of the surest signatures of recent positive selection is a local elevation of advantageous allele frequency and linkage disequilibrium (LD). We proposed to detect such hitchhiking effects by using extended stretches of homozygosity as a surrogate indicator of recent positive selection. An extended haplotype-based homozygosity score test (EHHST) was developed to detect excess homozygosity. The EHHST conditioned on existing LD and it tested the haplotype version of the Hardy-Weinberg equilibrium. Compared with existing popular tests, which usually lack clear distribution, the EHHST is asymptotically normal, which makes analysis and applications easier. In particular, the EHHST facilitates the computation of an asymptotic P-value instead of an empirical P-value, using simulations. We evaluated by simulation that the EHHST led to appropriate false-positive rates, and it had higher or similar power as the existing popular methods. The method was applied to HapMap Phase II data. We were able to replicate previous findings of strong positive selection in 17 autosome genomic regions out of 20 reported candidates. On the basis of high EHHST values and population differentiations, we identified 15 new candidate regions that could undergo recent selection.
机译:最近肯定选择的最可靠的特征之一是有利等位基因频率和连锁不平衡(LD)的局部升高。我们建议通过使用延伸的纯合性作为最近阳性选择的替代指标来检测这种搭便车的效果。建立了扩展的基于单倍型的纯合度评分测试(EHHST),以检测过量的纯合度。 EHHST以现有的LD为条件,并测试了Hardy-Weinberg平衡的单倍型。与通常缺乏明确分布的现有流行测试相比,EHHST渐近正态,这使得分析和应用更加容易。尤其是,EHHST使用模拟来简化渐近P值而不是经验P值的计算。通过仿真评估,EHHST导致适当的假阳性率,并且与现有的流行方法相比具有更高或相似的功效。该方法已应用于HapMap第二阶段数据。我们能够在20个已报告的候选基因中的17个常染色体基因组区域中复制强阳性选择的先前发现。基于较高的EHHST值和人群差异,我们确定了15个可能进行近期选择的新候选区域。

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