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 associated variants, especially if sample size is limited. In addition, factors such as inaccuracy of imputation, complex linkage disequilibrium structures, and multiple closely-located causal variants may result in an identified causative mutation not being the most significant single nucleotide polymorphism in a particular genomic region. Therefore, the use of information from different sources, particularly variant annotations, was proposed to enhance the fine-mapping of causal variants. Here, w

SUBMITTER: Cai Z 

PROVIDER: S-EPMC6511139 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature