ArticleComputational and mathematical methods in medicine2022
A Signature for Smoking Status of Coronary Heart Disease Patients through Weighted Gene Coexpression Network Analysis.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundSmoking 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.
methodsCHD 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 screen core genes related to smoking in CHD.
resultsThe violet module was the most significantly associated with smoking (
conclusionThis study identified 6 core genes to serve as underlying biomarkers for monitoring and predicting smoker's CHD risk.
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