Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls

A hundred years of data collection in dairy cattle can facilitate powerful studies of complex traits. Cattle GWAS have identified many associated genomic regions. With increasing numbers of cattle sequenced, fine-mapping of causal variants is becoming possible. Here we imputed selected sequence vari...

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Detalles Bibliográficos
Autores principales: Jiang, Jicai, Cole, John B., Freebern, Ellen, Da, Yang, VanRaden, Paul M., Ma, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582147/
https://www.ncbi.nlm.nih.gov/pubmed/31240250
http://dx.doi.org/10.1038/s42003-019-0454-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582147/
https://www.ncbi.nlm.nih.gov/pubmed/31240250
http://dx.doi.org/10.1038/s42003-019-0454-y

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