Inauguration of Phenome India "National Biobank"
 
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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

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