Screening of Candidate Key Genes Associated with Congenital Heart Disease Using Bioinformatics Data Analysis

Abstract

Congenital heart disease (CHD) is one of the most dangerous diseases seen in daily life. Aim of this study is to find the deep causes of congenital heart disease. The GSE35776 chip data was extracted from the Gene Expression Synthesis Database (GEO). Analyzing above data was using the R language. The enrichment pathways of differentially expressed genes were processed using the Kyoto Encyclopedia of Genes and Genomics (KEGG) and gene ontology (GO) database. Then this study uses Cytoscape and GCBI to structure protein-protein interaction (PPI) networks, gene regulation networks. 257 differentially expressed genes (DEGs) were found out, mainly focusing on cell cycle, oocyte meiosis, p53 signaling pathway and progesterone mediated oocyte maturation. By constructing gene regulation network, 12 hub genes were screened, including NUF2, BUB1, CENPI, CCNB2, SGO1, SMC4, NCAPD2, TUBB and NCAPH. We hypothesized that these 12 genes may be key factors in CHD.

Investigation of Genetic Causes in Patients with Congenital Heart Disease in Qatar: Findings from the Sidra Cardiac Registry

“…Using bioinformatic computational analysis, it was shown that BUB1 plays a potential role in CHD. However, its exact role in the pathogenesis of CHD remains unknown, and no reported cases have supported this claim [ 52 ].…”