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Originally published as Genetics Published Articles Ahead of Print on April 19, 2006.

Genetics, Vol. 173, 1725-1733, July 2006, Copyright © 2006
doi:10.1534/genetics.106.056242

Modified Hudson–Kreitman–Aguadé Test and Two-Dimensional Evaluation of Neutrality Tests

Human Genetics Center, School of Public Health, University of Texas Health Science Center, Houston, Texas 77030

1 Address for correspondence: Department of Biosystems Science, Graduate University for Advanced Studies, Hayama, Kanagawa 240-0193, Japan.
E-mail: innan_hideki{at}soken.ac.kp

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.




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