Article
Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock.
PLoS genetics - 1 Sept 2020
Raymond Biaty, Yengo Loic, Costilla Roy, Schrooten Chris, Bouwman Aniek C, Hayes Ben J, Veerkamp Roel F, Visscher Peter M
Abstract excerpt
Genome-Wide Association Studies (GWAS) in large human cohorts have identified thousands of loci associated with complex traits and diseases. For identifying the genes and gene-associated variants that underlie complex traits in livestock, especially where sample sizes are limiting, it may help to integrate the results of GWAS for equivalent traits in humans as prior information. In this study, we sought to...
Topics
- Animals
- Body Height
- Breeding
- Cattle
- Databases, Genetic
- Genetic Variation
- Genome-Wide Association Study
- Humans
- Livestock
- Multifactorial Inheritance
- Phenotype