Screening of potential candidate genes of epilepsy via a systems biology approach
Objective Comprehensively analyzing the epilepsy-related genes by bioinformatics methods,and to explore their functions based on network and pathway analysis.Methods I Collected epilepsy-related genes through OMIM,DisGeNET,GeneCards databases and literatures deposited in PUBMED.Performed gene ontology(GO)and pathway enrichment analysis using"ClusterProfiler"R package,and the correlation between pathways was identified through pathway crosstalk analysis.Epilepsy-related genes were then mapped to human protein-protein interaction network(PPIN)to obtain epilepsy-specific PPIN,and extracted the hub and potential genes based on network topology.Results A total of 572 epilepsy-related genes were collected,642 significant GO biological process items and 80 Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways,including learning,memory and cognition,were obtained by enrichment analysis.Based on PPIN analysis,10 hub genes of the epilepsy were extracted and most of them are gamma-aminobutyric acid(GABA)receptor genes.By integrating PPIN and WGCNA analysis,17 potential genes were extracted,involving heat shock protein,growth factor receptor binding protein,etc.Conclusion Epilepsy is a complex process,involving the abnormality of multiple functional genes,multiple biological processes and pathways are closely contact through multiple functional genes,and collectively lead to the occurrence of epilepsy.
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