Mol Biol Evol. 1992 Jan;9(1):138-51.

A statistical test for detecting geographic subdivision.

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Department of Ecology and Evolutionary Biology, University of California, Irvine 92717.

Abstract

A statistical test for detecting genetic differentiation of subpopulations is described that uses molecular variation in samples of DNA sequences from two or more localities. The statistical significance of the test is determined with Monte Carlo simulations. The power of the test to detect genetic differentiation in a selectively neutral Wright-Fisher island model depends on both sample size and the rates of migration, mutation, and recombination. It is found that the power of the test is substantial with samples of size 50, when 4Nm less than 10, where N is the subpopulation size and m is the fraction of migrants in each subpopulation each generation. More powerful tests are obtained with genes with recombination than with genes without recombination.

PMID:: 1552836; [PubMed - indexed for MEDLINE]

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Research Support, U.S. Gov't, P.H.S.

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Alcohol Dehydrogenase

Grant Support

GM42447/GM/NIGMS NIH HHS/United States

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A statistical test for detecting geographic subdivision.

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