Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle
Abstract Background Genome-wide association studies (GWAS) are widely used to identify regions of the genome that harbor genetic determinants of quantitative traits. However, the multiple-testing burden from scanning tens of millions of whole-genome sequence variants reduces the power to identify as...
Main Authors: | , , , |
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Format: | Article |
Language: | deu |
Published: |
BMC
2019-05-01
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Series: | Genetics Selection Evolution |
Online Access: | http://link.springer.com/article/10.1186/s12711-019-0463-9 |