2020-08-03T18:52:33Zhttps://ir.soken.ac.jp/?action=repository_oaipmhoai:ir.soken.ac.jp:000044642019-12-12T05:40:34Z00001:00275
Modified Hudson-Kreitman-Aguade test and two-dimensional evaluation of neutrality testsModified Hudson-Kreitman-Aguade test and two-dimensional evaluation of neutrality testsenghttp://id.nii.ac.jp/1013/00004263/Journal ArticleINNAN, Hideki秀樹, 印南There are a number of polymorphism-based statistical tests of neutrality, but most of them focus on either the amount or the pattern of polymorphism. In this article, a new test called the two-dimensional (2D) test is developed. This test evaluates a pair of summary statistics in a two-dimentional field. One statistic should summarize the pattern of polymorphism, while the other could be a measure of the level of polymorphism. For the latter summary statistic, the polymorphism-divergence ratio is used following the idea of the Hudson–Kreitman–Aguadé (HKA) test. To incorporate the HKA test in the 2D test, a summary statistic-based version of the HKA test is developed such that the polymorphism–divergence ratio at a particular region of interest is examined if it is consistent with the average of those in other independent regions. Genetics = Genetics1733172517332006-07The Genetics Society of America 0016-6731 https://doi.org/10.1534/genetics.106.056242© 2006 by The Genetics Society of Americanone2014-05-07