Testing differentiation in diploid populations
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TLDR
The power of FST-estimator tests and of allelic goodness offit tests are similar when sampling is balanced, and higher than the power of genotypic goodness of fit tests.Abstract:
We examine the power of different exact tests of differentiation for diploid populations. Since there is not necessarily random mating within populations, the appropriate hypothesis to construct exact tests is that of independent sampling of genotypes. There are two categories of tests, Fsrestimator tests and goodness of fit tests. In this latter category, we distinguish “allelic statistics”, which account for the nature of alleles within genotypes, from “genotypic statistics” that do not. We show that the power of Fs+stimator tests and of allelic goodness of fit tests are similar when sampling is balanced, and higher than the power of genotypic goodness of fit tests. When sampling is unbalanced, the most powerful tests are shown to belong to the allelic goodness of fit group.read more
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References
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Journal ArticleDOI
Estimating F-statistics for the analysis of population structure.
Bruce S. Weir,C. Clark Cockerham +1 more
TL;DR: The purpose of this discussion is to offer some unity to various estimation formulae and to point out that correlations of genes in structured populations, with which F-statistics are concerned, are expressed very conveniently with a set of parameters treated by Cockerham (1 969, 1973).
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GENEPOP (Version 1.2): Population Genetics Software for Exact Tests and Ecumenicism
Michel Raymond,François Rousset +1 more
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An exact test for population differentiation.
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