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

The difficulty in finding causative mutations has hampered their use in genomic prediction. Here, we present a methodology to fine-map potentially causal variants genome-wide by integrating the functional, evolutionary and pleiotropic information of variants using GWAS, variant clustering and Bayesi...

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Detalles Bibliográficos
Autores principales: Xiang, Ruidong, MacLeod, Iona M., Daetwyler, Hans D., de Jong, Gerben, O’Connor, Erin, Schrooten, Chris, Chamberlain, Amanda J., Goddard, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870883/
https://www.ncbi.nlm.nih.gov/pubmed/33558518
http://dx.doi.org/10.1038/s41467-021-21001-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870883/
https://www.ncbi.nlm.nih.gov/pubmed/33558518
http://dx.doi.org/10.1038/s41467-021-21001-0

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