Identification of key genes in atrial fibrillation using bioinformatics analysis.

ABSTRACT:

Background

Atrial fibrillation (AF) is one of the most common arrhythmia, which brings huge burden to the individual and the society. However, the mechanism of AF is not clear. This paper aims at screening the key differentially expressed genes (DEGs) of atrial fibrillation and to construct enrichment analysis and protein-protein interaction (PPI) network analysis for these DEGs.

Methods

The datasets were collected from the Gene Expression Omnibus database to extract data of left atrial appendage (LAA) RNA of patients with or without AF in GSE79768, GSE31821, GSE115574, GSE14975 and GSE41177. Batch normalization, screening of the differential genes and gene ontology analysis were finished by R software. Reactome analysis was used for pathway analysis. STRING platform was uti

SUBMITTER: Liu Y 

PROVIDER: S-EPMC7419195 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature