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Glaucoma Pred: Glaucoma prediction based on Myocilin genotype and phenotype information

Rangachari, K and Bankoti, Namrata and Shyamala, N and Michael, Daliah and Ahmed, Z Sameer and Chandrasekaran, P and Sekar, K (2019) Glaucoma Pred: Glaucoma prediction based on Myocilin genotype and phenotype information. In: GENOMICS, 111 (4). pp. 696-699.

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Official URL: https://dx.doi.org/10.1016/j.ygeno.2018.04.006

Abstract

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.

Item Type: Journal Article
Additional Information: copyright for this article belongs to ACADEMIC PRESS INC ELSEVIER SCIENCE
Keywords: Glaucoma database; Myocilin database; Primary Open Angle Glaucoma (POAG)
Department/Centre: Division of Interdisciplinary Research > Computational and Data Sciences
Depositing User: Id for Latest eprints
Date Deposited: 27 Aug 2019 06:28
Last Modified: 27 Aug 2019 06:28
URI: http://eprints.iisc.ac.in/id/eprint/63310

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