Gene-set association and epistatic analyses reveal complex gene interaction networks affecting flowering time in a worldwide barley collection.

ABSTRACT: Single-marker genome-wide association studies (GWAS) have successfully detected associations between single nucleotide polymorphisms (SNPs) and agronomic traits such as flowering time and grain yield in barley. However, the analysis of individual SNPs can only account for a small proportion of genetic variation, and can only provide limited knowledge on gene network interactions. Gene-based GWAS approaches provide enormous opportunity both to combine genetic information and to examine interactions among genetic variants. Here, we revisited a previously published phenotypic and genotypic data set of 895 barley varieties grown in two years at four different field locations in Australia. We employed statistical models to examine gene-phenotype associations, as well as two-way epistasis analys

SUBMITTER: He T 

PROVIDER: S-EPMC6812734 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature