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How to estimate kinship

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 availabil...

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Detalles Bibliográficos
Autores principales: Goudet, Jérôme, Kay, Tomas, Weir, Bruce S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220858/
https://www.ncbi.nlm.nih.gov/pubmed/30107060
http://dx.doi.org/10.1111/mec.14833
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author Goudet, Jérôme
Kay, Tomas
Weir, Bruce S.
author_facet Goudet, Jérôme
Kay, Tomas
Weir, Bruce S.
author_sort Goudet, Jérôme
collection PubMed
description 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.
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spelling pubmed-62208582018-11-13 How to estimate kinship Goudet, Jérôme Kay, Tomas Weir, Bruce S. Mol Ecol ORIGINAL ARTICLES 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. John Wiley and Sons Inc. 2018-09-07 2018-10 /pmc/articles/PMC6220858/ /pubmed/30107060 http://dx.doi.org/10.1111/mec.14833 Text en © 2018 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle ORIGINAL ARTICLES
Goudet, Jérôme
Kay, Tomas
Weir, Bruce S.
How to estimate kinship
title How to estimate kinship
title_full How to estimate kinship
title_fullStr How to estimate kinship
title_full_unstemmed How to estimate kinship
title_short How to estimate kinship
title_sort how to estimate kinship
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220858/
https://www.ncbi.nlm.nih.gov/pubmed/30107060
http://dx.doi.org/10.1111/mec.14833
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