Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations

Genomic prediction of phenotype may be improved by using DNA mutations with functional, evolutionary, and pleiotropic consequences. Here the authors describe a method for genome-wide fine-mapping of QTLs and develop a genotyping array for improved prediction of genetic values for cattle traits.

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Autores principales: Ruidong Xiang, Iona M. MacLeod, Hans D. Daetwyler, Gerben de Jong, Erin O’Connor, Chris Schrooten, Amanda J. Chamberlain, Michael E. Goddard
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/9ad0efaecc5840e095d958c5c857b6d5
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spelling oai:doaj.org-article:9ad0efaecc5840e095d958c5c857b6d52021-12-02T14:26:59ZGenome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations10.1038/s41467-021-21001-02041-1723https://doaj.org/article/9ad0efaecc5840e095d958c5c857b6d52021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21001-0https://doaj.org/toc/2041-1723Genomic prediction of phenotype may be improved by using DNA mutations with functional, evolutionary, and pleiotropic consequences. Here the authors describe a method for genome-wide fine-mapping of QTLs and develop a genotyping array for improved prediction of genetic values for cattle traits.Ruidong XiangIona M. MacLeodHans D. DaetwylerGerben de JongErin O’ConnorChris SchrootenAmanda J. ChamberlainMichael E. GoddardNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Ruidong Xiang
Iona M. MacLeod
Hans D. Daetwyler
Gerben de Jong
Erin O’Connor
Chris Schrooten
Amanda J. Chamberlain
Michael E. Goddard
Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
description Genomic prediction of phenotype may be improved by using DNA mutations with functional, evolutionary, and pleiotropic consequences. Here the authors describe a method for genome-wide fine-mapping of QTLs and develop a genotyping array for improved prediction of genetic values for cattle traits.
format article
author Ruidong Xiang
Iona M. MacLeod
Hans D. Daetwyler
Gerben de Jong
Erin O’Connor
Chris Schrooten
Amanda J. Chamberlain
Michael E. Goddard
author_facet Ruidong Xiang
Iona M. MacLeod
Hans D. Daetwyler
Gerben de Jong
Erin O’Connor
Chris Schrooten
Amanda J. Chamberlain
Michael E. Goddard
author_sort Ruidong Xiang
title Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
title_short Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
title_full Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
title_fullStr Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
title_full_unstemmed Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
title_sort genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9ad0efaecc5840e095d958c5c857b6d5
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