Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations.

ABSTRACT: 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 suggests, on average, one pleiotropic QTL existing in each 50 kb chromosome-segment. We selected a set of 80k variants representing potentially causal variants within each chromosome segment to develop a bovine XT-50K genotyping array. The custom array contains many pleiotropic variants with biological functions, including splicing QTLs and variants at conserved sites across 100 verte

SUBMITTER: Xiang R 

PROVIDER: S-EPMC7870883 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature