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...
| Published in: | BMC Genetics |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-01-01
|
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12863-019-0717-0 |
