How to estimate kinship.

Details

Ressource 1Download: Goudet_et_al-2018-Molecular_Ecology.pdf (6216.36 [Ko])
State: Public
Version: Final published version
Serval ID
serval:BIB_5FE0C333D531
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
How to estimate kinship.
Journal
Molecular ecology
Author(s)
Goudet J., Kay T., Weir B.S.
ISSN
1365-294X (Electronic)
ISSN-L
0962-1083
Publication state
Published
Issued date
10/2018
Peer-reviewed
Oui
Volume
27
Number
20
Pages
4121-4135
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
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.
Keywords
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
Yes
Create date
20/08/2018 13:44
Last modification date
20/08/2019 15:17
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