Controlling Type-I Error of the McDonald-Kreitman Test in Genomewide Scans for Selection on Noncoding DNA

被引：36

作者：

Andolfatto, Peter ^{[1
,2
]}

机构：

[1] Princeton Univ, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA

[2] Princeton Univ, Lewis Sigler Inst Integrat Genom, Princeton, NJ 08544 USA

来源：

GENETICS | 2008年 / 180卷 / 03期

关键词：

D O I：

10.1534/genetics.108.091850

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Departures from the assumption of homogenously interdigitated neutral and putatively selected sites in the McDonald-Kreitman test can lead to false rejections of the neutral model in the presence of intermediate levels of recombination. This problem is exacerbated by small sample sizes, nonequilibrium demography, recombination rate variation, and in comparisons involving more recently diverged species. I propose that establishing significance levels by coalescent simulation with recombination can improve the fidelity of the test in genomewide scans for selection on noncoding DNA.

引用

页码：1767 / 1771

页数：5

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