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India Launches National Biobank for Personalised Healthcare

India Launches National Biobank for Personalised Healthcare

India has inaugurated the Phenome India National Biobank at the CSIR-Institute of Genomics and Integrative Biology (IGIB), Delhi. This advanced facility aims to create a comprehensive health database by collecting genomic, lifestyle, and clinical data from 10,000 individuals across the country. The initiative is expected to transform personalised healthcare by enabling tailored treatments based on genetic and environmental factors unique to the Indian population.

Phenome India National Biobank Overview

The Biobank is a nationwide cohort study platform. It gathers diverse data covering genetics, lifestyle, and clinical history. Its design is inspired by the UK Biobank but customised for India’s ethnic, geographic, and socio-economic diversity. The data will support research on early diagnosis, targeted therapies, and management of complex diseases like diabetes, cancer, cardiovascular conditions, and rare genetic disorders.

Significance for Indian Healthcare

India faces unique health challenges such as high central obesity rates despite low overall body weight. This Biobank will help decode such complexities by providing population-specific data. It will enable the development of personalised treatment regimens that consider genetic makeup, lifestyle, and environmental factors. This approach promises improved disease management and better health outcomes.

Scientific and Technological Context

India is advancing rapidly in fields like quantum technology, CRISPR genome editing, and antimicrobial resistance research. The Biobank complements these by producing high-resolution data to fuel AI-driven diagnostics and gene-guided therapies. It reflects India’s growing role as an early adopter and innovator in cutting-edge science and healthcare technology.

Collaborative Research and Development

The initiative calls for stronger collaboration among research institutions, government bodies such as the Department of Biotechnology, and industry partners. Focus areas include antimicrobial resistance and drug development. The goal is to translate laboratory research into market-ready solutions that benefit society at large.

Long-term Impact and Vision

The Phenome India Project is designed for longitudinal tracking of health over years. It will reveal disease patterns, gene-environment interactions, and treatment responses specific to the Indian context. The project aspires to achieve self-reliance in healthcare data and evolve into a global benchmark comparable to international biobanks.

Role of CSIR-IGIB and Related Research

CSIR-IGIB has been a pioneer in genomics for over two decades. It has developed over 300 genetic diagnostics and contributed to COVID-19 genome sequencing and India’s first drug genome project. Current research includes women-centric genomics, breast cancer, sickle cell disease therapies using CRISPR, space biology, and AI-based fitness assessments for pilots in collaboration with the Indian Air Force.

Questions for UPSC:

  1. Taking example of the Phenome India National Biobank, discuss the role of biobanks in advancing personalised medicine in India.
  2. Examine the challenges and opportunities of integrating genomic data with public health policies in a diverse country like India.
  3. Analyse the impact of emerging technologies such as CRISPR and AI on healthcare innovation and disease management in India.
  4. Discuss in the light of antimicrobial resistance research, how collaborative efforts between government, academia, and industry can accelerate drug development and public health outcomes.

Answer Hints:

1. Taking example of the Phenome India National Biobank, discuss the role of biobanks in advancing personalised medicine in India.
  1. Biobanks collect comprehensive genomic, lifestyle, and clinical data enabling tailored healthcare solutions.
  2. Phenome India Biobank captures India’s ethnic, geographic, and socio-economic diversity for population-specific insights.
  3. Supports early diagnosis and precise therapeutic targeting of complex diseases like diabetes, cancer, and cardiovascular disorders.
  4. Enables longitudinal health tracking to understand gene-environment interactions and treatment responses.
  5. Facilitates development of gene-guided and AI-driven therapies adapted to Indian genetic makeup.
  6. Acts as a backbone for indigenous innovation and self-reliance in personalised healthcare delivery.
2. Examine the challenges and opportunities of integrating genomic data with public health policies in a diverse country like India.
  1. Challenge – Vast ethnic, geographic, and socio-economic diversity complicates uniform policy formulation.
  2. Challenge – Data privacy, ethical concerns, and infrastructure gaps hinder genomic data integration.
  3. Opportunity – Tailored public health interventions based on population-specific genomic and lifestyle data.
  4. Opportunity – Improved disease surveillance and early diagnosis through genomic markers relevant to Indian populations.
  5. Need for capacity building in bioinformatics, data analytics, and healthcare workforce training.
  6. Collaboration among government, research institutions, and healthcare providers essential for effective policy translation.
3. Analyse the impact of emerging technologies such as CRISPR and AI on healthcare innovation and disease management in India.
  1. CRISPR enables development of precise gene-editing therapies for genetic disorders like sickle cell anaemia.
  2. AI facilitates high-resolution diagnostics, predictive analytics, and personalized treatment planning.
  3. Integration of AI with biobank data accelerates discovery of novel biomarkers and drug targets.
  4. Technologies support cost-effective, indigenous solutions reducing dependency on imports.
  5. Enhances capacity to tackle complex diseases and pandemic responses through rapid genome sequencing.
  6. Promotes interdisciplinary research linking genomics, computational biology, and clinical practice.
4. Discuss in the light of antimicrobial resistance research, how collaborative efforts between government, academia, and industry can accelerate drug development and public health outcomes.
  1. AMR is a complex challenge requiring coordinated surveillance, research, and policy interventions.
  2. Government provides regulatory frameworks, funding, and facilitates public health initiatives.
  3. Academic institutions contribute fundamental research, novel targets, and innovation in diagnostics and therapeutics.
  4. Industry partners enable drug development, clinical trials, manufacturing, and market access.
  5. Collaborations promote translation of lab discoveries into affordable, scalable healthcare solutions.
  6. Joint efforts improve stewardship programs, awareness, and rapid response to emerging resistance patterns.

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