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Abstract #76936 Published in IGR 19-3
Glaucoma Pred: Glaucoma prediction based on Myocilin genotype and phenotype information
Rangachari K; Bankoti N; Shyamala N; Michael D; Sameer Ahmed Z; Chandrasekaran P; Sekar KGenomics 2019; 111: 696-699
Glaucoma is the second leading cause of blindness after cataract and is heterogeneous in nature. Employing a genetic approach for the detection of the diseased condition provides an advantage that the gene responsible for the disease can be identified by genetic test. The availability of predictive tests based on the published literature would provide a mechanism for early detection and treatment. The genotype and phenotype information could be a valuable source for predicting the risk of the disease. To this end, a web server has been developed, based on the genotype and phenotype of myocilin mutation, which were identified by familial linkage analysis and case studies. The proposed web server provides clinical data and severity index for a given mutation. The server has several useful options to help clinicians and researchers to identify individuals at a risk of developing the disease. Glaucoma Pred server is available at http://bioserver1.physics.iisc.ac.in/myocilin.
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore 560 012, India.
Full articleClassification:
15 Miscellaneous
3.4.2 Gene studies (Part of: 3 Laboratory methods > 3.4 Molecular genetics)
