Systems Biology approach for identification of glaucoma disease-associated genes and variants influence
Systems Biology approach
Keywords:Glaucoma, open angle glaucoma, angle closure glaucoma, Gene-disease network
Glaucoma is a heterogeneous group of disease characterised by progressive optic nerve degeneration with a complex genetics basis. It is broadly classified into primary and secondary based on their etiology and aqueous humor dynamics. Primary open angle glaucoma (POAG) and primary angle closure glaucoma (PACG) occurs most commonly. In this study, disease-causing genes network was designed using cystoscope software. The DisGenNet plugin is used for mining the data from curated and BeFree database source. In this network, 89 (28.25 %) genes were reported with Genetic variation, Causal Mutation 6 (6.7%), Biomarker 220 (69.8%) in 25 subtypes of glaucoma. In this disease 179, genetic variations in 50 genes were associated with the glaucoma disease. Maximum gene found with intron variant around 38.70% followed by missense variant around 38.20%. In this study, it is found that a maximum number of the generic variation shown the modifier impact on the disease. The Designing gene-disease network helps in understanding the role of genes in the complex disease. It is a new approach to predict gene-disease association based on network analysis.
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