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Coronary artery disease (CAD) is the leading cause of death worldwide.   Microarray analysis is a practical approach to study gene transcription   changes that may reflect signatures that underlie the pathogenesis of CAD.   Using gene expression profile data from the Gene Expression Omnibus database,   we identified differentially expressed genes that can contribute to the   pathology of CAD. Further pathway and network analyses were also implemented   to identify pathways and hub genes related to the disease. We observed 466   downregulated and 560 upregulated genes. The ribosome pathway was the most   significantly over-represented pathway with differentially expressed genes.   Over 35% of the genes in this pathway were downregulated. Hub genes in the   network, such as IL7R, FYN, CALM1 ESR1 and PLCG1, may play crucial roles in   the pathogenesis of CAD. Our results facilitate the identification of   molecular mechanisms that underlie CAD

Analysis of pathways and networks influencing the differential expression of genes in coronary artery disease