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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Nature Portfolio
2021
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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) |
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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 |
work_keys_str_mv |
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1718391327654150144 |