ABSTRACT Several estimators of population differentiation have been proposed in the recent past to deal with various types of genetic markers ( i e . , allozymes, nucleotide sequences, restriction fragment length polvmorphisms, or microsatellites). We discuss the relationships among these estimators and show how a single analysis of variance framework can accomodate these qualitatively different data types. S W W = -1 where N, is the size of rth sample, and 6 is a squared ; Euclidean distance between haplotypes i and j defined as where W is a square m X m weighting matrix that allows us to deal with possible interactions among loci and unequal locus weighting schemes (see EXCOFFIERal. et 1992). If loci are assumed independent and are given equal weight, W is the identity matrix I and 6; k= 1 ( a& - ajk)'. Under this assumption of interlocus independence, the sums of squared deviations can be partitioned into m single-locus components as 6.w Cmesponding authvr: Yannis Michalakis, LAbOratOire d'Ecologie, Universite P. & M. Curie CNRS URA 258, 7 quai St. Bernard, 75252 Paris cedex 05, France. E-mail: firstname.lastname@example.org Genetics 142 1061-1064 (Mar-ch, 1996) ( 2 N - P) ( 2 N -
Genetics – Genetics Society of America
Published: Mar 1, 1996
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