18 August, 2025
Inauguration of Phenome India "National Biobank"
Tue 08 Jul, 2025
Reference:
- The Union Minister of State for Science & Technology, Dr. Jitendra Singh, inaugurated India's first Phenome India National Biobank at CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi.
Key Points:
- Objective: To create India’s first longitudinal health database, enabling personalized treatment for every Indian based on their genetic makeup, lifestyle, and environment.
Structure and Functioning of the Biobank:
- Data Collection: Genomic, clinical, and lifestyle data of 10,000 individuals from across India will be collected.
- Inspiration: Modeled after the UK Biobank, but customized to suit India’s geography, ethnicity, and socio-economic diversity.
- Benefits: Early diagnosis and better treatment of diabetes, cancer, heart diseases, and rare genetic disorders. Promotes AI-based diagnostics and gene-guided therapy.
Key Features of Phenome India National Biobank:
Point | Description |
Location | CSIR-IGIB, New Delhi |
Project | Phenome India (PI-CHeCK) |
Inspiration | Based on UK Biobank model, adapted to Indian diversity |
Participants | 10,000 diverse Indian citizens from across the country |
Data Collected | Genomic, lifestyle, clinical, and health-related data |
Objective | Personalized medicine, early diagnosis, long-term health research |
Research Focus | Diabetes, cancer, heart disease, rare genetic disorders, cardio-metabolic diseases |
Long-term Benefits | AI-driven diagnostics, gene-based treatment, evidence-based health policymaking for Indian context |
Significance of the Inauguration:
- Adapted to Indian Context: This biobank is tailored to reflect India’s geographic, ethnic, and socio-economic diversity, making the research more relevant and useful to the Indian population.
- Step Towards Personalized Medicine: Based on the collected data, each individual can receive customized treatment considering their genetics, lifestyle, and environmental factors.
- Revolution in Disease Research: Scientists will gain deeper insights into diseases like diabetes, cancer, heart disease, and rare genetic disorders, enabling early diagnosis and targeted treatment.
- AI and Gene-based Solutions: The initiative will generate high-quality Indian data for AI-driven and gene-based therapies in the future.
Social and Scientific Impact:
- Health Policy Formulation: Data from the biobank will help governments and policymakers formulate accurate, evidence-based public health strategies.
- Scientific Innovation: It will bolster Indian leadership in areas like CRISPR, quantum technology, and antimicrobial resistance (AMR).
- Social Inclusion: Participation from diverse regions, age groups, and socio-economic backgrounds will enable inclusive health solutions.
Phenome India Project:
- A major health surveillance and research initiative of the Council of Scientific and Industrial Research (CSIR) aimed at assessing risk factors for non-communicable (cardio-metabolic) diseases in India and developing India-specific predictive models.
Primary Objectives:
- To develop India-specific risk prediction models for cardio-metabolic diseases (diabetes, heart disease, liver disease, etc.)
- To study the impact of genetic, lifestyle, and environmental factors on the Indian population
- To create long-term, data-driven solutions for health policy development
Key Features:
Point | Description |
Project Launch | December 2023 |
Participants | 10,000+ participants from 17 states and 24 cities |
Data Collection | Genomic, lifestyle, clinical, dietary, anthropological, biochemical, and molecular data |
Inspiration | Based on UK Biobank model, adapted for Indian diversity |
Main Focus | Diabetes, heart disease, liver disease, rare genetic disorders |
Implementing Institutions | CSIR and IGIB, New Delhi |
Importance of the Project:
- Nationwide Longitudinal Study: First-ever large-scale longitudinal study in India for cardio-metabolic diseases
- Indian-Specific Solutions: Algorithms based on Western datasets are not suitable for Indian populations; hence, India-specific models are essential
- Towards Personalized Medicine: Enables tailored treatment strategies based on genetic and lifestyle data of each person
- Support for Policy Formulation: Helps policymakers formulate accurate, data-driven public health strategies
Scientific and Social Impact:
- Prevention and Management: Helps in risk stratification, prevention, and management of cardio-metabolic disorders
- Data-Driven Innovation: Facilitates AI-based diagnostics and gene-driven medical solutions using stored biological samples and health data
- Inclusive Participation: Ensures participation from diverse regions, ethnicities, and socio-economic groups across the country