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    Genome India Project (GIP)

    Posted 22 Feb 2025

    Updated 28 Feb 2025

    5 min read

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    Why in the News?

    Genome India Project (GIP) has achieved a significant milestone by making the genomic data of 10,000 individuals publicly accessible.

    More about News

    • Whole genome sequencing data for 10,000 individuals have been archived at Indian Biological Data Centre (IBDC).
      • IBDC, Faridabad is India's first national life science data repository, mandated to archive publicly funded research data. It is supported by Department of Biotechnology
    • Framework for Exchange of Data Protocols (FeED)' and the IBDC Portals were also launched at Genome India Data Conclave.
      • 'Framework for Exchange of Data (FeED)' Protocols is under Biotech-PRIDE Guidelines and it ensures high-quality, nation-specific data sharing in a transparent, fair, and responsible manner. 
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    Genome India Project

    • It was initiated in 2020 by Department of Biotechnology (DBT), Government of India with collaborations of 20 institutions to map India's genetic diversity. 
    • Primary objective: Build a comprehensive catalogue of genetic variations that reflect unique diversity of Indian population. 
    • Key Achievements:
      • 20,000 samples collected from 83 diverse populations, establishing a bio bank.
      • 10,000 genomes sequenced in first phase, creating a reference genome for India.

    What is Genome Sequencing?

    • What is Genome: It is entire set of genetic material i.e. DNA/RNA (DNA in most organisms) present in an individual or species. 
      • It contains all information necessary for development, functioning, and maintenance of that organism.
    • Genome Sequencing:  It is process of determining complete genetic material sequence of an organism's genome. 
      • It determines the precise sequence of nucleotide bases in DNA/RNA strand.
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    • Sequence of bases (often referred to by first letters of their chemical names: A, T, C, G and U) encodes biological information that cells use to develop and operate.
    • Applications:
      • Healthcare and Medicine: 
        • Medical Research: Genome sequencing aids in identifying genetic disorders and Enhances disease research by linking genetic variations to prevalent health conditions.
        • Other Applications:  Facilitates precision medicine, early detection of diseases, aids in cancer research etc.
      • Public Health & Epidemic Control: 
        • Epidemiology: Tracking pathogens during outbreaks allows for better public health responses.
        • Vaccine Development: Helps in designing vaccines against infectious diseases.
      • Agricultural Science: It helps in improving crop varieties and livestock through genetic insights.
      • Biodiversity Conservation: Helps in cataloging species and understanding evolutionary links.
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     Other Projects on Genome Sequencing

    • IndiGen program:  Genomics initiative by the Council of Scientific and Industrial Research (CSIR) to sequence the genomes of Indians from various ethnic groups.
    • 'One Day One Genome' initiative by DBT: Will highlight the unique bacterial species found in our country and emphasize their critical roles in environment, agriculture and the human health.
    • Human Genome Project (HGP): An international collaboration that aimed to map and sequences the entire human genome. It began in 1990 and was completed in 2003, with a final gapless assembly achieved in January 2022.
    • 100,000 Genomes Project: England's very first initiative sequencing 100,000 genomes from around 85,000 NHS patients affected by rare disease or cancer.
    • International HapMap Project: Analyzing over a million variants in African, Asian, and European ancestry groups, it helps identify genetic links to diseases, aids in diagnostic tool development, and improves therapeutic targeting.

     

    • Data Accuracy and Error Correction: Despite advancements, sequencing technologies still grapple with errors, particularly in long-read sequencing. 
    • Lack of Data Protection and Regulation: Many Indian genomic samples are sent abroad for sequencing, as existing regulations allow commercial export of biological samples. This raises concerns about data security and privacy.
    • Ethical Issues: Raises ethical concerns like potential for genetic discrimination, question of Informed Consent, issues of eugenics etc.
    • Inequity and low diversity: Unregulated market forces may create barriers to better healthcare access, especially for the poor and ethnic minorities.
    • Cost and Accessibility: While sequencing costs have dropped significantly, large-scale projects remain expensive, limiting accessibility in low-resource settings. 
    • Fragmentation of genetic data: With a number of organizations providing genetic testing services, the data remain in silos.
      • Without a framework for collecting well aggregated summary data, the data remains inaccessible for public health decision-making.

    Way Forward

    • Advancements in Sequencing Technologies: Continued innovation in sequencing platforms e.g. improvements in long-read accuracy to detect complex genomic rearrangements, using next generation sequencing (NGS) etc.
      • NGS is a high-throughput DNA sequencing technology that allows for rapid and parallel sequencing of millions of small DNA fragments simultaneously.
        • NGS enables sequencing entire genomes much faster and at a lower cost compared to traditional sequencing methods like Sanger sequencing.
    • Ethical Frameworks and Policy Development: Establishing clear ethical guidelines and policies for genome sequencing applications, particularly in population screening, is essential.
    • Global best practices can be followed for curbing various ethical and privacy related issues e.g. Genetic Information Non-discrimination Act (GINA) of US.
    • Cost Reduction and Global Accessibility: Efforts to further reduce sequencing costs and simplify workflows will make genomic technologies more accessible worldwide.
    • Tags :
    • Genome India Project
    • Genomic Data
    • Whole Genome Sequencing
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