Identification and validation of genes associated with aging‐related cardiovascular disease
Jing Li,
Shengping Jiang,
Chengyun Huang
et al.
Abstract:Aging is acknowledged as the most significant risk factor for cardiovascular disease (CVD). This study sought to identify and validate potential aging‐related genes associated with CVD by using bioinformatics. The confluence of the limma test, weighted correlation network analysis (WGCNA), and 2129 aging and senescence‐associated genes led to the identification of aging‐related differential expression genes (ARDEGs). By using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), potential biol… Show more
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