Power and sample size for nested analysis of molecular variance

Analysis of molecular variance ( amova) is a widely used tool for quantifying the contribution of various levels of population structure to patterns of genetic variation. Implementations of amova use permutation tests to evaluate null hypotheses of no population structure within groups and between g...

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Bibliographic Details
Published in:Molecular ecology 2009-10, Vol.18 (19), p.3961-3966
Main Author: Fitzpatrick, Benjamin M
Format: Article
Language:English
Subjects:
Analysis of Variance
Biostatistics
FST
Genetics
Genetics, Population - methods
hierarchical F-statistics
Models, Genetic
Molecular biology
population genetics
randomization
Research methodology
Sample Size
statistics
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Summary:Analysis of molecular variance ( amova) is a widely used tool for quantifying the contribution of various levels of population structure to patterns of genetic variation. Implementations of amova use permutation tests to evaluate null hypotheses of no population structure within groups and between groups. With few populations per group, between-group structure might be impossible to detect because only a few permutations of the sampled populations are possible. In fact, with fewer than six total populations, permutation tests will never result in P-values
ISSN:0962-1083
1365-294X
DOI:10.1111/j.1365-294X.2009.04314.x