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Estimation, variance and optimal sampling of gene diversity II. Diploid locus

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Abstract

Nei's analysis of diversity at a diploid locus is extended to a population subdivided into a large number of subpopulations. The diversities and the heterozygotes frequency are defined with respect to the total population and unbiasedly estimated in a two-stage random cluster sampling. The fixation indices F IS, F IT andF ST are derived, then inter- and intra-population variances of the estimated parameters are studied. We show that there is a unique sample size per population which yields the best accuracy in estimatingF ST and F IS, respectively, at a given locus. These results are illustrated with an analysis of DNA diversity in a forest tree and compared to those obtained under the Hardy-Weinberg assumption.

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Communicated by P. M. A. Tigerstedt

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Pons, O., Chaouche, K. Estimation, variance and optimal sampling of gene diversity II. Diploid locus. Theoret. Appl. Genetics 91, 122–130 (1995). https://doi.org/10.1007/BF00220868

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  • DOI: https://doi.org/10.1007/BF00220868

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