Comparison of population structure between studies can be difficult, because the value of the often-used FST-statistic depends on the amount of genetic variation within populations. Recently, a standardized measure of genetic differentiation was developed based on GST, which addressed this problem, though no method was provided to estimate this standardized measure without bias. Here I present a method to estimate a standardized measure of population differentiation based on the analysis of molecular variance framework. One advantage of the method is that it can be readily expanded to include different hierarchical levels in the tested population structure.
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1 November 2006
USING THE AMOVA FRAMEWORK TO ESTIMATE A STANDARDIZED GENETIC DIFFERENTIATION MEASURE
Patrick G. Meirmans
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Evolution
Vol. 60 • No. 11
November 2006
Vol. 60 • No. 11
November 2006
Analysis of molecular variance
FST
genetic variation
microsatellites
mutation rate
population structure