Call for Proposal for translational Research using GenomeIndia Data by department of biotechnology- Grants upto ₹50 lakh/-
Eligibility
- Any Indian National holding a regular position in any Indian academic and scientific research institutions (Govt./Private).
- The research institutions must be recognized by DSIR as a Scientific and Industrial Research Organization (SIRO).
- Private institutions/ NGOs should have proof of registration at ‘NGO DARPAN’ of NITI Aayog, Certificate of registration under Society Registration Act, Organization’s Memorandum of Association, Organization’s Articles of Association, Valid DSIR-SIRO certificate/ DSIR in-house R&D recognition certificate (as applicable), and Duly audited account statements for the past three successive years.
- There should be at least one co-investigator from each participating institute and either one of the PI or Co-PI should have remaining service in co-terminus to the duration of the projects
- The Team of Researchers (PIs/Co-PIs) should be multi-disciplinary with expertise in the areas like
- Genomics,
- Precision medicine and data science etc
- Capable of dealing with large amount of data,
- Expertise in building prediction tools involving Computational Biology, Statistics, Machine Learning, Deep Learning, etc. through high-throughput omics approach
How to apply
- Candidate need to submit the proposal in form of Letter of Interest (Official notification, pg.5) to rv.mahajan@dbt.nic.in
- The project investigators may be invited to make a detailed presentation before the Expert Committee.
- Candidate can choose Project scope and focus areas from the list, however candidates can choose anything else apart from list.
- The proposal should only cover any additional requirement to execute this proposal and not establish a facility from scratch.
| Project Scope | Focus areas |
| Reference Genome | Develop comprehensive reference profiles for phenotypical and genotypical characteristics unique to specific Indian community groups |
| Population Specific Genetic Risk Factors | Identifying and mapping of rare and community-specific genetic variants, with a focus on demographic, geographical, and disease associations (such as sickle cell anaemia in tribals of a specific state/ geographical region) and developing risk stratification/prediction tools for the same |
| Epigenetics | Integrate gene-environment interaction studies with high-throughput genomic approaches to identify individual and population-level risk factors, enabling early risk prediction and precise modelling of multifactorial diseases |
| Cost-Effective screening/Diagnostic Tools | Development of cost-effective indigenous screening/diagnostic tools that incorporate population-specific genetic risk factors aiming to improve cost efficiency, reduce overdiagnosis, and enhancetargeted disease screening for high-risk populations |
| Precision Medicine | Leverage gene-disease-drug associations, big data-driven AI/ML techniques, and bioinformatics to understand complex biological networks and enable personalized treatment optimization for improved clinical outcomes |
| Precision Medicine | Leverage gene-disease-drug associations, big data-driven AI/ML techniques, and bioinformatics to understand complex biological networks and enable personalized treatment optimization for improved clinical outcomes |
| Genetic Variant Association and drug development | Utilize SNP-based data from chronic disease association studies, comparing healthy individuals and diseased patients, to identify significant genetic variants, explore their functional roles, and evaluate their potential in refining diagnostic precision, and therapeutic targeting. |
| Disease Outbreaks response strategies | Development of technologies predicting spread of infectious diseases using genetic data and understand how genetic factors influence susceptibility to infections |
Selection Process
Selection will be based on following:
- The proposals should be written with precise realistic research goals and identified deliverables and should NOT have primary data generation. It should not be very broad and generic, and objectives should not be exploratory in nature.
- The host organization should have the requisite minimal infrastructure to undertake the project and have the experience in building any necessary interfaces and processes related to the proposed study objectives and future outcome.
- After selection, It is expected that all investigators will follow the highest principles and ethics of research and rules/regulations/Guidelines/laws related to the data protection, patient protection as enacted by the Govt. of India from time to time
Perks of the Program
- Grants-in-aid support fo up to 2 years duration with the budgetary requirement per project shall not exceed Rs 50 Lakhs.
- NR cost should not be more than 20% of the total proposed cost and should mainly include compute and storage infrastructure-related budget.
- Grant components will be given as
| Grant Component | Type |
| GIA-Capital (Non-Recurring Budget) | Equipment & Other Accessories |
| GIA-General (Recurring) | Manpower (as per Govt. of India guidelines),Consumables |
| GIA-Genera | Overheads |
Official notification: Official notification
Last Date: 22 Feb 2025
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