A Signature for Smoking Status of Coronary Heart Disease Patients through Weighted Gene Coexpression Network Analysis.

ABSTRACT:

Background

Smoking is one of the risk factors of coronary heart disease (CHD), while its underlying mechanism is less well defined.

Purpose

To identify and testify 6 key genes of CHD related to smoking through weighted gene coexpression network analysis (WGCNA), protein-protein interaction (PPI) network analysis, and pathway analysis.

Methods

CHD patients' samples were first downloaded from Gene Expression Omnibus (GEO). Then, genes of interest were obtained after analysis of variance (ANOVA). Thereafter, 23 coexpressed modules that were determined after genes with similar expression were incorporated via WGCNA. The biological functions of genes in the modules were researched by enrichment analysis. Pearson correlation analysis and PPI network analysis were used to sc

SUBMITTER: Shang Z 

PROVIDER: S-EPMC8791244 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature