Integrative analysis of promising molecular biomarkers and pathways for coronary artery disease using WGCNA and MetaDE methods.

ABSTRACT: The present study aimed to examine the molecular mechanisms of coronary artery disease (CAD). A total of four microarray datasets (training dataset no. GSE12288; validation dataset nos. GSE20680, GSE20681 and GSE42148) were downloaded from the Gene Expression Omnibus database, which included CAD and healthy samples. Weighted gene co‑expression network analysis was applied to identify highly preserved modules across the four datasets. Differentially expressed genes (DEGs) with significant consistency in the four datasets were selected using the MetaDE method. The overlapping genes amongst the DEGs with significant consistency and in the preserved modules were used to construct a protein‑protein interaction (PPI) network, followed by functional enrichment analysis. A total of 11 modules were

SUBMITTER: Yan S 

PROVIDER: S-EPMC6102698 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature