Opportunity

Simpler Grants.gov #RFA-HG-27-012

Forecasted Funding for GREGoRi Technology Integration Center (NHGRI)

Buyer

National Human Genome Research Institute (NHGRI)

Posted

June 06, 2025

Respond By

November 04, 2025

Identifier

RFA-HG-27-012

NAICS

541715, 541714

This opportunity is a forecasted funding announcement from the National Institutes of Health (NIH), specifically the National Human Genome Research Institute (NHGRI), for the creation of the GREGoRi Technology Integration Center (TechIC) under the GREGoR program. - Government Buyer: - National Institutes of Health (NIH) - National Human Genome Research Institute (NHGRI) - Purpose: - Establish the GREGoRi Technology Integration Center to advance rare disease genomics - Develop standards and best practices for new and emerging molecular diagnostic methods - Produce a multidimensional dataset to support the development and benchmarking of novel diagnostic tools and strategies - Funding and Eligibility: - Estimated funding is $3,000,000 - Broad eligibility: nonprofits, small businesses, educational institutions, and government entities - Products/Services Requested: - No specific products, part numbers, or OEMs are mentioned - Main service is the establishment and operation of the Technology Integration Center, including research, standards development, and data generation - Unique Requirements: - Focus on rare disease genomics and integration of new molecular methods - Emphasis on creating resources for the broader research community - No attachments or detailed line items are provided in the notice

Description

The National Human Genome Research Institute (NHGRI) is seeking to renew the Genomics Research to Elucidate the Genetics of Rare Disease (GREGoR) program through a new initiative called GREGoRi. This initiative aims to accelerate rare disease diagnosis by developing new tools, molecular technologies, and analytical approaches to identify causal genes or variants. The GREGoRi Technology Integration Center (TechIC) will establish standards and best practices for applying emerging molecular methods in rare disease diagnosis. A key deliverable will be a multidimensional dataset to support the development and benchmarking of novel diagnostic tools and strategies.

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