Testing differentiation in diploid populations.

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Serval ID
serval:BIB_ECADBA52FB9D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Testing differentiation in diploid populations.
Journal
Genetics
Author(s)
Goudet J., Raymond M., de Meeûs T., Rousset F.
ISSN
0016-6731[print], 0016-6731[linking]
Publication state
Published
Issued date
1996
Volume
144
Number
4
Pages
1933-1940
Language
english
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, FST-estimator 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 FST-estimator 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.
Keywords
Alleles, Animals, Diploidy, Genetics, Population, Genotype, Humans, Models, Genetic
Pubmed
Web of science
Create date
24/01/2008 17:10
Last modification date
20/08/2019 16:14
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