Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.

ABSTRACT: This investigation seeks to dissect coronary artery disease molecular target candidates along with its underlying molecular mechanisms. Data on patients with CAD across three separate array data sets, GSE66360, GSE19339 and GSE97320 were extracted. The gene expression profiles were obtained by normalizing and removing the differences between the three data sets, and important modules linked to coronary heart disease were identified using weighted gene co-expression network analysis (WGCNA). Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and genomes (KEGG) pathway enrichment analyses were applied in order to identify statistically significant genetic modules with the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool (version 6.8; http://david

SUBMITTER: Zheng PF 

PROVIDER: S-EPMC7988178 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature