A new statistic for detecting genetic differentiation.
A new statistic for detecting genetic differentiation of subpopulations is described. The statistic can be calculated when genetic data are collected on individuals sampled from two or more localities. It is assumed that haplotypic data are obtained, either in the form of DNA sequences or data on many tightly linked markers. Using a symmetric island model, and assuming an infinite-sites model of mutation, it is found that the new statistic is as powerful or more powerful than previously proposed statistics for a wide range of parameter values.
Hudson
R R
RR
Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA. rr-hudson@uchicago.edu
D016009:Chi-Square Distribution; D003198:Computer Simulation; D006239:Haplotypes; D008957:Models, Genetic; D015233:Models, Statistical; D011110:Polymorphism, Genetic