How to estimate kinship.

Détails

Ressource 1Télécharger: Goudet_et_al-2018-Molecular_Ecology.pdf (6216.36 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_5FE0C333D531
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
How to estimate kinship.
Périodique
Molecular ecology
Auteur⸱e⸱s
Goudet J., Kay T., Weir B.S.
ISSN
1365-294X (Electronic)
ISSN-L
0962-1083
Statut éditorial
Publié
Date de publication
10/2018
Peer-reviewed
Oui
Volume
27
Numéro
20
Pages
4121-4135
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
The concept of kinship permeates many domains of fundamental and applied biology ranging from social evolution to conservation science to quantitative and human genetics. Until recently, pedigrees were the gold standard to infer kinship, but the advent of next-generation sequencing and the availability of dense genetic markers in many species make it a good time to (re)evaluate the usefulness of genetic markers in this context. Using three published data sets where both pedigrees and markers are available, we evaluate two common and a new genetic estimator of kinship. We show discrepancies between pedigree values and marker estimates of kinship and explore via simulations the possible reasons for these. We find these discrepancies are attributable to two main sources: pedigree errors and heterogeneity in the origin of founders. We also show that our new marker-based kinship estimator has very good statistical properties and behaviour and is particularly well suited for situations where the source population is of small size, as will often be the case in conservation biology, and where high levels of kinship are expected, as is typical in social evolution studies.
Mots-clé
Genetic Markers, Genetics, Population/methods, Humans, Models, Genetic, Pedigree, animal mating/breeding systems, behavior/social evolution, conservation genetics, quantitative genetics, wildlife management
Pubmed
Web of science
Open Access
Oui
Création de la notice
20/08/2018 12:44
Dernière modification de la notice
21/11/2022 8:26
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