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Genetic Differentiation and Estimation of Gene Flow from <i>F</i>-Statistics Under Isolation by Distance

Genetics · 1997 · Vol. 145(4) · pp. 1219–1228
François Rousset

Abstract

I reexamine the use of isolation by distance models as a basis for the estimation of demographic parameters from measures of population subdivision. To that aim, I first provide results for values of F-statistics in one-dimensional models and coalescence times in two-dimensional models, and make more precise earlier results for F-statistics in two-dimensional models and coalescence times in one-dimensional models. Based on these results, I propose a method of data analysis involving the regression of FST/(1-FST) estimates for pairs of subpopulations on geographic distance for populations along linear habitats or logarithm of distance for populations in two-dimensional habitats. This regression provides in principle an estimate of the product of population density and second moment of parental axial distance. In two cases where comparison to direct estimates is possible, the method proposed here is more satisfactory than previous indirect methods.

Genetic Mapping and Diversity in Plants and AnimalsGene expression and cancer classificationGenetics and Plant BreedingBiologyGene flowGeneticsIsolation by distanceIsolation (microbiology)GeneEstimationGenetic distanceStatisticsGenetic variation

MeSH terms

Gene FrequencyModels, GeneticRegression AnalysisGenetic Variation
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