Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

Abstract Background Genome-wide association studies (GWAS) have been successfully implemented in cattle research and breeding. However, moving from the associations to identify the causal variants and reveal underlying mechanisms have proven complicated. In dairy cattle populations, we face a challe...

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Bibliographic Details
Main Authors: Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Genetics
Subjects:
Dairy cattle
Milk traits
GWAS
Closely linked association signals
Candidate genes
Online Access:http://link.springer.com/article/10.1186/s12863-019-0717-0

Internet

http://link.springer.com/article/10.1186/s12863-019-0717-0

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