Opportunity
Simpler Grants.gov #RFA-HG-27-007
NIH research awards to study how genomic variants affect genome function and phenotype
Buyer
National Institutes of Health
Posted
October 09, 2026
Respond By
December 14, 2026
Identifier
RFA-HG-27-007
NAICS
541714, 541715
The National Institutes of Health (NIH) seeks research applications to determine how genomic variants influence genome function and phenotype. - Buyer: National Institutes of Health (NIH); no specific institute, sub-agency, or office is identified. - Opportunity: Cooperative-agreement research to systematically perturb genomic variants or elements using high-throughput methods and measure effects on DNA, RNA, protein-coding elements, and molecular, cellular, or organismal phenotypes. - Research outputs: Robust, reproducible, portable data-processing pipelines and resources that can be made broadly accessible. - Consortium coordination: Awardees will join the Impact of Genomic Variation on Function (IGVF) Consortium and coordinate assays, variants, cell types, resources, and analysis strategies. - Funding: $15 million in total program funding is anticipated, with five awards expected and a maximum of $2 million per award. - Requirements: Clinical trials are not allowed. Foreign organizations and components may participate, but applications involving foreign subawards or subcontracts are not eligible for funding. - OEMs, vendors, and products: None named; no specific products, part numbers, or quantities are requested.
Description
This funding opportunity solicits applications to characterize genomic variation and assess how individual variants affect genome function. Work includes systematically perturbing variants or elements using high-throughput methods, collecting data on their effects across molecular, cellular, or organismal phenotypes, and developing robust, reproducible, portable data-processing pipelines. Funded centers will join the Impact of Genomic Variation on Function Consortium and collaborate on shared resources, assays, variants, cell types, and analysis strategies. The source lists total program funding of $15,000,000, five expected awards, and an award maximum of $2,000,000.