An allele-sharing, moment-based estimator of global, population-specific and population-pair FST under a general model of population structure.

Details

Ressource 1Download: Goudet and Weir - 2023 - An allele-sharing, moment-based estimator of globa.pdf (2733.65 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_76F54C897568
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
An allele-sharing, moment-based estimator of global, population-specific and population-pair FST under a general model of population structure.
Journal
PLoS genetics
Author(s)
Goudet J., Weir B.S.
ISSN
1553-7404 (Electronic)
ISSN-L
1553-7390
Publication state
Published
Issued date
11/2023
Peer-reviewed
Oui
Volume
19
Number
11
Pages
e1010871
Language
english
Notes
Publication types: Review ; Journal Article
Publication Status: epublish
Abstract
Being able to properly quantify genetic differentiation is key to understanding the evolutionary potential of a species. One central parameter in this context is FST, the mean coancestry within populations relative to the mean coancestry between populations. Researchers have been estimating FST globally or between pairs of populations for a long time. More recently, it has been proposed to estimate population-specific FST values, and population-pair mean relative coancestry. Here, we review the several definitions and estimation methods of FST, and stress that they provide values relative to a reference population. We show the good statistical properties of an allele-sharing, method of moments based estimator of FST (global, population-specific and population-pair) under a very general model of population structure. We point to the limitation of existing likelihood and Bayesian estimators when the populations are not independent. Last, we show that recent attempts to estimate absolute, rather than relative, mean coancestry fail to do so.
Keywords
Alleles, Bayes Theorem, Models, Genetic, Biological Evolution, Genetic Drift, Genetics, Population
Pubmed
Open Access
Yes
Create date
01/12/2023 8:49
Last modification date
08/08/2024 6:27
Usage data