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Maximum-Likelihood Methods for Detecting Recent Positive Selection and Localizing the Selected Site in the Genome

机译:检测最近的阳性选择和定位基因组中所选位点的最大似然方法

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摘要

Two maximum-likelihood methods are proposed for detecting recent, strongly positive selection and for localizing the target of selection along a recombining chromosome. The methods utilize the compact mutation frequency spectrum at multiple neutral loci that are partially linked to the selected site. Using simulated data, we show that the power of the tests lies between 80 and 98% in most cases, and the false positive rate could be as low as ∼10% when the number of sampled marker loci is sufficiently large (≥20). The confidence interval around the estimated position of selection is reasonably narrow. The methods are applied to X chromosome data of Drosophila melanogaster from a European and an African population. Evidence of selection was found for both populations (including a selective sweep that was shared between both populations).
机译:提出了两种最大似然方法,用于检测最近的强阳性选择和沿着重组染色体定位选择目标。所述方法利用在多个中性基因座处的紧凑突变频谱,所述中性基因座部分地链接至所选位点。使用模拟数据,我们显示测试的功效在大多数情况下介于80%到98%之间,并且当采样的标记基因座的数量足够大(≥20)时,假阳性率可能低至〜10%。选择的估计位置周围的置信区间相当窄。该方法应用于来自欧洲和非洲人群的果蝇的X染色体数据。发现了两个种群的选择证据(包括在两个种群之间共享的选择性扫描)。

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