The value of genomic relationship matrices to estimate levels of inbreeding.
Journal
Genetics, selection, evolution : GSE
ISSN: 1297-9686
Titre abrégé: Genet Sel Evol
Pays: France
ID NLM: 9114088
Informations de publication
Date de publication:
01 May 2021
01 May 2021
Historique:
received:
17
07
2020
accepted:
19
04
2021
entrez:
2
5
2021
pubmed:
3
5
2021
medline:
4
8
2021
Statut:
epublish
Résumé
Genomic relationship matrices are used to obtain genomic inbreeding coefficients. However, there are several methodologies to compute these matrices and there is still an unresolved debate on which one provides the best estimate of inbreeding. In this study, we investigated measures of inbreeding obtained from five genomic matrices, including the Nejati-Javaremi allelic relationship matrix (F Except for F Genomic inbreeding coefficients obtained from the diagonal elements of genomic matrices can lead to inconsistent results in terms of gain and loss of genetic variability and inbreeding depression estimates, and thus to misleading interpretations. Although these matrices have proven to be very efficient in increasing the accuracy of genomic predictions, they do not always provide a useful measure of inbreeding.
Sections du résumé
BACKGROUND
BACKGROUND
Genomic relationship matrices are used to obtain genomic inbreeding coefficients. However, there are several methodologies to compute these matrices and there is still an unresolved debate on which one provides the best estimate of inbreeding. In this study, we investigated measures of inbreeding obtained from five genomic matrices, including the Nejati-Javaremi allelic relationship matrix (F
RESULTS
RESULTS
Except for F
CONCLUSIONS
CONCLUSIONS
Genomic inbreeding coefficients obtained from the diagonal elements of genomic matrices can lead to inconsistent results in terms of gain and loss of genetic variability and inbreeding depression estimates, and thus to misleading interpretations. Although these matrices have proven to be very efficient in increasing the accuracy of genomic predictions, they do not always provide a useful measure of inbreeding.
Identifiants
pubmed: 33933002
doi: 10.1186/s12711-021-00635-0
pii: 10.1186/s12711-021-00635-0
pmc: PMC8088726
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
42Subventions
Organisme : Ministerio de Ciencia, Innovación y Universidades
ID : CGL2016-75904-C2
Organisme : European Commission Horizon 2020 (H2020) Framework Programme
ID : 727315
Organisme : Xunta de Galicia
ID : ED431C 2020-05
Organisme : Horizon 2020 Framework Programme
ID : 772787
Organisme : Biotechnology and Biological Sciences Research Council
ID : BBS/E/D/30002275
Pays : United Kingdom
Organisme : Ministerio de Ciencia e Innovación
ID : PID2020-114426GB-C22
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