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CSIR’s ‘Phenome India’ Project Achieves Milestone: Collects 10,000 Samples, Pioneers Precision Medicine

NextEdge Admin

04 Jun 2024

2 min 50 sec

The Council of Scientific and Industrial Research (CSIR) recently celebrated the successful completion of the initial phase of its pioneering health monitoring endeavor, the ‘Phenome India-CSIR Health Cohort Knowledgebase’ (PI-CHeCK). Dubbed ‘Phenome India Unboxing 1.0’, the event took place at the National Institute of Oceanography (NIO), Goa, on June 3rd. Dignitaries such as Dr. Souvik Maiti, Dr. Sunil Kumar Singh, Dr. Shantanu Sengupta, Dr. Rajendra Prasad Singh, and Dr. Viren Sardana graced the occasion.

Dr. Shantanu Sengupta, a Senior Principal Scientist at CSIR-Institute of Genomics and Integrative Biology, emphasized the groundbreaking nature of the project, particularly in the realm of Indian healthcare. He highlighted the significant burden of cardio-metabolic diseases in India and underscored the need for tailored approaches due to varying risk factors across populations. The project aims to develop a robust prediction model for such diseases, integrating genetic and lifestyle factors.

Having surpassed the initial target of 10,000 samples, Dr. Sengupta urged other organizations to initiate similar sample collection efforts. He emphasized the potential for a larger sample pool to redefine healthcare parameters nationwide. The project, launched in December 2023, has enrolled nearly 10,000 participants across 17 states and 24 cities, including CSIR employees, pensioners, and their spouses. The collected data spans clinical, lifestyle, dietary, anthropometric, imaging, and biochemical dimensions.

This initiative addresses the pressing need for India-specific risk prediction algorithms, given the ethnic diversity and lifestyle disparities within the population. The Phenome India project epitomizes CSIR’s commitment to advancing precision medicine through personalized, participatory, and preventive healthcare. By fostering a comprehensive phenome database tailored to India’s demographics, the project paves the way for similar endeavors nationwide, ensuring more accurate risk prediction algorithms aligned with the country’s genetic and lifestyle diversity.