Gujarat has become the first Indian state to roll out a dedicated genome sequencing initiative for its tribal communities, marking a major step in applying biotechnology to public health. The program, part of the broader Genome India Project, aims to create a genetic reference database that can help diagnose, treat and prevent inherited disorders like sickle cell anaemia and thalassemia, which are disproportionately high in tribal populations.
Launched by the Gujarat Biotechnology Research Centre (GBRC), the initiative focuses on sequencing the DNA of tribal individuals to uncover genetic mutations and patterns that could explain rising health issues. The project plans to collect over 4,000 biological samples and fully sequence the genomes of 2,000 individuals from across 17 districts. This is the first genome-mapping project in India with a tribal health focus.
Gujarat’s tribal groups—spread across the eastern belt of the state—have shown a high prevalence of inherited diseases due to endogamous marriages (marriage within the community). This has led to limited genetic diversity, increasing the risk of hereditary conditions such as,
Many of these conditions are not diagnosed until late, making treatment harder and more expensive.
Genome sequencing helps by,
This kind of precision medicine was previously unavailable to tribal populations due to the lack of specific genomic data.
The GBRC is equipped with advanced sequencing platforms, including long-read sequencers that analyse 5,000–10,000 DNA base pairs. Originally used during the Covid-19 pandemic, these platforms now support a wider range of genomic studies. Gujarat has managed to bring down per-sample sequencing costs from ₹85,000 to ₹60,000 through local infrastructure investments.
The project will include genetic samples from diverse tribal communities and will focus on parent–child trios to trace hereditary transmission. These samples will be used to create DNA-based diagnostic kits, potentially costing just ₹1,000–1,500, compared to ₹1 lakh for full genome sequencing.
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