Identification of Potential Diagnostic Biomarkers and Biological Pathways in Hypertrophic Cardiomyopathy Based on Bioinformatics Analysis.

ABSTRACT: Hypertrophic cardiomyopathy (HCM) is a genetic heterogeneous disorder and the main cause of sudden cardiac death in adolescents and young adults. This study was aimed at identifying potential diagnostic biomarkers and biological pathways to help to diagnose and treat HCM through bioinformatics analysis. We selected the GSE36961 dataset from the Gene Expression Omnibus (GEO) database and identified 893 differentially expressed genes (DEGs). Subsequently, 12 modules were generated through weighted gene coexpression network analysis (WGCNA), and the turquoise module showed the highest negative correlation with HCM (cor = -0.9, p-value = 4 × 10-52). With the filtering standard gene significance (GS) < -0.7 and module membership (MM) > 0.9, 19 genes were then selected to establish the lea

SUBMITTER: Yu T 

PROVIDER: S-EPMC8951232 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature