A statistical test for detecting geographic subdivision.

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ID: 299697
1992
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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.
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Authors R R Hudson, Dennis D. Boos, N. Kaplan
Journal molecular biology and evolution
Year 1992
DOI
10.1093/oxfordjournals.molbev.a040703
URL
https://academic.oup.com/mbe/article-pdf/9/1/138/11167921/10HUDS.PDF
Keywords Keywords not found

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