An intersection network based on combining SNP coassociation and RNA coexpression networks for feed utilization traits in Japanese Black cattle.

ABSTRACT: Genome-wide association studies (GWAS) of quantitative traits have detected numerous genetic associations, but they encounter difficulties in pinpointing prominent candidate genes and inferring gene networks. The present study used a systems genetics approach integrating GWAS results with external RNA-expression data to detect candidate gene networks in feed utilization and growth traits of Japanese Black cattle, which are matters of concern. A SNP coassociation network was derived from significant correlations between SNPs with effects estimated by GWAS across 7 phenotypic traits. The resulting network genes contained significant numbers of annotations related to the traits. Using bovine transcriptome data from a public database, an RNA coexpression network was inferred based on the simil

SUBMITTER: Okada D 

PROVIDER: S-EPMC6095251 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature