Detecting Natural Selection by Comparing Geographic Variation in Protein and DNA Polymorphisms

  • John H. McDonald

Abstract

Comparing the amount of geographic variation in allele frequencies for protein and DNA polymorphisms is a powerful method for detecting the effects of selection. Some statistical artifacts must be kept in mind however. Simulations indicate that estimators of Wright’s F ST are much better measures of geographic variation than are genetic distance measures; that pooling alleles so that all polymorphisms are treated as two-allele polymorphisms is sometimes necessary to avoid statistical artifacts; and that for a given total sample size two or three population samples can be just as efficient at detecting selection as a larger number of smaller samples.

Keywords

Allele Frequency Crassostrea Virginica Statistical Artifact Random Drift Unweighted Average 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • John H. McDonald

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