@article{oai:ir.soken.ac.jp:00004464,
 author = {印南, 秀樹 and INNAN, Hideki},
 issue = {3},
 journal = {Genetics, Genetics},
 month = {Jul},
 note = {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.},
 pages = {1725--1733},
 title = {Modified Hudson-Kreitman-Aguade test and two-dimensional evaluation of neutrality tests},
 volume = {173},
 year = {2006}
}