Int J Med Sci 2020; 17(11):1508-1514. doi:10.7150/ijms.41812

Research Paper

Analyzing Functional Pathways and constructing gene-gene network for Narcolepsy based on candidate genes

Hui Ouyang1, Zechen Zhou2, Qiwen Zheng2, Jun Zhang1✉

1. Department of Neuromedicine, Peking University People's Hospital, Beijing, China.
2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.

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Citation:
Ouyang H, Zhou Z, Zheng Q, Zhang J. Analyzing Functional Pathways and constructing gene-gene network for Narcolepsy based on candidate genes. Int J Med Sci 2020; 17(11):1508-1514. doi:10.7150/ijms.41812. Available from http://www.medsci.org/v17p1508.htm

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Abstract

Aims: To investigate the interactions among narcolepsy-associated genes and reveal the pathways these genes involved through bioinformatics analyses.

Methods: The study was performed with the following steps: 1) Selected the previously discovered narcolepsy risk genes through literature review, 2) pathway enrichment analysis, and construction of gene-gene and protein-protein interaction (PPI) networks for narcolepsy.

Results: 1) GO analysis revealed the positive regulation of interferon-gamma production as the most enriched terms in biological process, and C-C chemokine receptor activity as the most enriched term in molecular function, 2) KEGG pathway enrichment analysis revealed selective enrichment of genes in cytokine-cytokine receptor interaction signaling pathways, and 3) five hub genes were identified (IFNAR1, IL10RB, DNMT1, TNFSF4 and NFATC2).

Conclusion: The bioinformatics results provide new insights into the molecular pathogenesis of narcolepsy and the identification of potential therapeutic targets for narcolepsy treatment.

Keywords: single-nucleotide polymorphisms, candidate gene, hypothalamic neurons, neurodegeneration, neurology