Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data.

ABSTRACT: Milk yield is most important economic trait in dairy cows and understanding molecular basis and components involved in high-yield production is one of crucial steps to develop and select new breeds. In this study, we used combination of two statistical methods based on the p-value and effect sized to meta-analysis three datasets followed with construction of weighted gene co-expression network based on the expression matrix of differentially expressed genes identified in meta-analysis to detect major gene modules and hub genes. Based on the FDR cut-off<0.05 and Log₂ fold change>2 and < 0.5, we identified 1028 differentially expressed genes that were shared between the Fisher and REM method and were consistent across datasets. Molecular function analysis showed that upregu

SUBMITTER: Rahmatzadeh M 

PROVIDER: S-EPMC12420518 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature