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Updated: Jan 4, 2026

Optimization of a Quantitative Micro-neutralization Assay
Published on: December 14, 2016
Modified Hudson-Kreitman-Aguade test and two-dimensional evaluation of neutrality tests
1Human Genetics Center, School of Public Health, University of Texas Health Science Center, Houston, Texas 77030, USA. innan_hideki@soken.ac.jp
Abstract:
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-dimensional 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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