Identification of common regulators of genes in co-expression networks affecting muscle and meat properties.

ABSTRACT: Understanding the genetic contributions behind skeletal muscle composition and metabolism is of great interest in medicine and agriculture. Attempts to dissect these complex traits combine genome-wide genotyping, expression data analyses and network analyses. Weighted gene co-expression network analysis (WGCNA) groups genes into modules based on patterns of co-expression, which can be linked to phenotypes by correlation analysis of trait values and the module eigengenes, i.e. the first principal component of a given module. Network hub genes and regulators of the genes in the modules are likely to play an important role in the emergence of respective traits. In order to detect common regulators of genes in modules showing association with meat quality traits, we identified eQTL for each of

SUBMITTER: Ponsuksili S 

PROVIDER: S-EPMC4397042 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature