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Journal ArticleDOI

Estimation of the coancestry coefficient: basis for a short-term genetic distance

John V. Reynolds, +2 more
- 01 Nov 1983 - 
- Vol. 105, Iss: 3, pp 767-779
TLDR
Simulations of a monoecious population mating at random showed that a weighted ratio of single-locus estimators performed better than an unweighted average or a least squares estimator in the drift situation.
Abstract
A distance measure for populations diverging by drift only is based on the coancestry coefficient θ, and three estimators of the distance D = - ln (1 - θ) are constructed for multiallelic, multilocus data. Simulations of a monoecious population mating at random showed that a weighted ratio of single-locus estimators performed better than an unweighted average or a least squares estimator. Jackknifing over loci provided satisfactory variance estimates of distance values. In the drift situation, in which mutation is excluded, the weighted estimator of D appears to be a better measure of distance than others that have appeared in the literature.

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Citations
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Journal ArticleDOI

Estimating F-statistics for the analysis of population structure.

TL;DR: The purpose of this discussion is to offer some unity to various estimation formulae and to point out that correlations of genes in structured populations, with which F-statistics are concerned, are expressed very conveniently with a set of parameters treated by Cockerham (1 969, 1973).
Journal ArticleDOI

Arlequin (version 3.0): An integrated software package for population genetics data analysis

TL;DR: Arlequin ver 3.0 as discussed by the authors is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.
Journal ArticleDOI

Isolation by distance in equilibrium and non-equilibrium populations.

TL;DR: Analytical theory shows that there is a simple relationship between M̂ and geographic distance in both equilibrium and non‐equilibrium populations and that this relationship is approximately independent of mutation rate when the mutation rate is small.
References
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Journal ArticleDOI

The distribution of heterozygosity in template and tropical species of Drosophila.

TL;DR: It has been shown that the neutral model proposed by Kimura, and modified by Ohta to include the accumulation of slightly disadvantageous mutations, is capable of explaining all features of the data.
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