Computational Modeling and Analysis of the Impact of Genomic Variation on Function (UM1, Clinical Trial Not Allowed)

Key facts

Copied from the official Grants.gov record. Last verified October 29, 2026.

Program name

Computational Modeling and Analysis of the Impact of Genomic Variation on Function (UM1, Clinical Trial Not Allowed)

Issuing agency

National Institutes of Health (Department of Health and Human Services)

Opportunity number

RFA-HG-27-010

Funding type

Cooperative Agreement

Funding purpose

Health

Status

Open (posted)

Application deadline

Closes December 14, 2026

Published award range

Up to $800,000

Estimated total program funding

$5,000,000

Expected number of awards

5

Cost sharing or match required

No

Eligible applicants (official categories)

• State governments
• County governments
• City or township governments
• Special district governments
• Independent school districts
• Public and State controlled institutions of higher education
• Native American tribal governments (Federally recognized)
• Public housing authorities/Indian housing authorities
• Native American tribal organizations (other than Federally recognized tribal governments)
• Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
• Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
• Private institutions of higher education
• For profit organizations other than small businesses
• Small businesses
• Others (see Additional Information on Eligibility)

Relevant to

Businesses and NonprofitsHow we determined this: Grants.gov eligibility includes small businesses or for-profit organizations. Grants.gov eligibility includes nonprofit organizations.

Geographic restrictions

None stated in structured data (federal opportunities are often nationwide). Check the eligibility details and full announcement for any limits.

Assistance Listing (CFDA)

93.172

Official source

View on Grants.gov ↗

Application URL

www.grants.gov/search-results-detail/359170 ↗Apply through Grants.gov (Workspace) using the application package on the official listing, unless the full announcement names a different submission system.

Source identifier

Grants.gov opportunity ID 359170 · Funding opportunity number RFA-HG-27-010

Posted

October 9, 2026 · Source last updated October 9, 2026

Last verified

October 29, 2026 (against Grants.gov)

Data completeness

100% of key fields published by the source

Record confidence

highVerified against the official source; key fields present; no open issues.

Eligibility details (from the agency)

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibilityForeign Organizations/Foreign CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed. NIH will no longer issue awards (i.e., new, renewal, or non-competing continuation) to domestic or foreign entities that involve foreign subawards/subcontracts. All NIH-funded research involving foreign subawards/subcontracts must be submitted in response to a NOFO that is specifically designated for funded international collaborations. See NIH Grants Policy Statement 16.8 Collaborative International Research Awards.Applications involving foreign subawards/subcontracts submitted in response to this NOFO will be deemed noncompliant and will not be considered for funding. This policy applies to all monetary international collaborations resulting in foreign subawards/subcontracts, however, it does not preclude unfunded international collaborations or foreign components, funding for foreign consultants, or procurement of unique equipment or supplies from foreign vendors.

Description (from the official listing)

The purpose of this Notice of Funding Opportunity (NOFO) is to solicit applications to develop, apply, and test predictive models and perform integrative analyses to determine the impact of genomic variation on genome function. Centers funded through this initiative will become a part of the Impact of Genomic Variation on Function (IGVF) Consortium. As consortium members, centers will work together to ensure all consortium resources are accessible to a wide variety of potential users. Centers also will collaborate with other consortium components to guide and optimize IGVF experimental design, to provide analytical expertise and support for consortium-wide efforts, and to develop and execute shared analysis strategies to meet consortium goals.

Agency contact

IGVF Program Team nhgri-igvf@mail.nih.gov
nhgri-igvf@mail.nih.gov