Rank-invariant estimation of inbreeding coefficients.
Journal
Heredity
ISSN: 1365-2540
Titre abrégé: Heredity (Edinb)
Pays: England
ID NLM: 0373007
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
received:
18
12
2020
accepted:
05
09
2021
revised:
05
09
2021
pubmed:
27
11
2021
medline:
15
3
2022
entrez:
26
11
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34824382
doi: 10.1038/s41437-021-00471-4
pii: 10.1038/s41437-021-00471-4
pmc: PMC8733021
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-10Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM075091
Pays : United States
Informations de copyright
© 2021. The Author(s).
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