Rank-invariant estimation of inbreeding coefficients.

Details

Serval ID
serval:BIB_22100793E635
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Rank-invariant estimation of inbreeding coefficients.
Journal
Heredity
Author(s)
Zhang Q.S., Goudet J., Weir B.S.
ISSN
1365-2540 (Electronic)
ISSN-L
0018-067X
Publication state
Published
Issued date
01/2022
Peer-reviewed
Oui
Volume
128
Number
1
Pages
1-10
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
The two alleles an individual carries at a locus are identical by descent (ibd) if they have descended from a single ancestral allele in a reference population, and the probability of such identity is the inbreeding coefficient of the individual. Inbreeding coefficients can be predicted from pedigrees with founders constituting the reference population, but estimation from genetic data is not possible without data from the reference population. Most inbreeding estimators that make explicit use of sample allele frequencies as estimates of allele probabilities in the reference population are confounded by average kinships with other individuals. This means that the ranking of those estimates depends on the scope of the study sample and we show the variation in rankings for common estimators applied to different subdivisions of 1000 Genomes data. Allele-sharing estimators of within-population inbreeding relative to average kinship in a study sample, however, do have invariant rankings across all studies including those individuals. They are unbiased with a large number of SNPs. We discuss how allele sharing estimates are the relevant quantities for a range of empirical applications.
Pubmed
Web of science
Open Access
Yes
Funding(s)
Swiss National Science Foundation / 31003A_179358
Create date
25/11/2021 12:25
Last modification date
12/03/2022 7:29
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