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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Detalles Bibliográficos
Autores principales:	Ruidong Xiang, Iona M. MacLeod, Hans D. Daetwyler, Gerben de Jong, Erin O’Connor, Chris Schrooten, Amanda J. Chamberlain, Michael E. Goddard
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
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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Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations

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