Controlling Type-I Error of the McDonald–Kreitman Test in Genomewide Scans for Selection on Noncoding DNA
Author(s) -
Peter Andolfatto
Publication year - 2008
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.108.091850
Subject(s) - recombination , coalescent theory , biology , selection (genetic algorithm) , genetics , background selection , evolutionary biology , noncoding dna , dna , neutral theory of molecular evolution , genome , phylogenetics , gene , computer science , artificial intelligence
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.
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