Integrative Translational Big-Data Analysis to Identify Predictive Biomarkers and Drug-Target Interactions
Rajani Kanth Vangala,
Director,
Thrombosis Research Institute
Heart disease and stroke are the first and second leading cause of death in the world especially in India effecting young people below 45 years of age. 39 million people go under poverty line every year due to heart diseases in India. Presently there are no good biomarkers useful for preventive strategies and majority of studies done are in western population which need not essentially be translated into Indian population. Large scale patient data integrated with molecular omics data can potentially give better ways of identifying high risk population following which preventive strategies can be developed. Two most important things are to identify easily adaptable and cost effective biomarkers for Indian population. We have developed a novel approach of integrating clinical data of more than 11,000 subjects’ data with genomics and proteomics research outcomes and identified biomarkers for improved risk prediction and diagnosis. Furthermore, using network analysis, we have developed drug-target interactions for improved drug development. These approaches are now also applied in other diseases for novel biomarkers and drug targets.
|
|
