Article
Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations.
Nature communications - 8 Feb 2021
Xiang Ruidong, MacLeod Iona M, Daetwyler Hans D, de Jong Gerben, O'Connor Erin, Schrooten Chris, Chamberlain Amanda J, Goddard Michael E
Abstract excerpt
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 Bayesian mixture models. Our analysis of 17 million sequence variants in 44,000+ Australian dairy cattle for 34 traits...
Topics
- Animals
- Bayes Theorem
- Cattle
- Chromosome Mapping
- Chromosomes, Mammalian
- Cluster Analysis
- Female
- Genetic Markers
- Genetic Pleiotropy
- Genetic Variation