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ESTIMATION OF GENE FLOW FROM F ‐STATISTICS
Author(s) -
Cockerham C. Clark,
Weir B. S.
Publication year - 1993
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/j.1558-5646.1993.tb01239.x
Subject(s) - estimator , gene flow , correlation , statistics , biology , population , variance (accounting) , contrast (vision) , population size , flow (mathematics) , econometrics , mathematics , gene , genetics , genetic variation , demography , computer science , artificial intelligence , geometry , accounting , sociology , business
We present theory clarifying the general behavior of F ST ‐based and G ST ‐based estimators of gene flow, and confirm these predictions with simulations. In particular, we use the correlation of genes within groups within populations to define an estimator. The theoretical value of the correlation doe not depend on the number of groups in a population, and properties of the estimated correlation do not depend on the number of groups sampled or the number of individuals sampled per group. This invariance is in contrast to properties of G ST . For a complete census of a population, bias and variance considerations would suggest the use of the G ST ‐based estimator of gene flow, but lack of knowledge of population size or group number in practice suggests preference be given to the correlation‐based estimator. We acknowledge that these estimators require that several conditions of a population‐genetic model be met, since they do not make use of direct observations on the flow of genes. Our results differ from some of those based on simulation in a series of recent papers by M. Slatkin.