Open · 75 days left D National Institutes of Health

NIDCR Research Grants for Analyses of Existing Genomics Data (R01) (Clinical Trial Not Allowed)

Funding
Not specified
Deadline
--
Days
--
Hrs
--
Min
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Sec
May 07, 2026
Posted Nov 18, 2024 (459 days ago)
Closes May 7, 2026 (in 75 days)

Grant Details

Opportunity Number
PAR-25-164
CFDA / ALN
93.121
Opportunity Category
Discretionary (D)
Funding Category
Health (HL)
Funding Instrument
Grant (G)
Cost Sharing
No Cost Sharing (No)

Eligibility

State governments (00) County governments (01) City or township governments (02) Special district governments (04) Independent school districts (05) Public and State controlled institutions of higher education (06) Native American tribal governments (Federally recognized) (07) Public housing authorities / Indian housing authorities (08) Native American tribal organizations (11) Nonprofits having a 501(c)(3) status with the IRS (12) Nonprofits without 501(c)(3) status (13) Private institutions of higher education (20) For-profit organizations other than small businesses (22) Small businesses (23) Others (25)

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Description

The purpose of this NOFO is to announce support for meritorious research projects that address research questions relevant to human dental, oral, or craniofacial (DOC) biology, and diseases and conditions, through analysis of existing and publicly available genomic data, with or without other types of complementary data, using statistical and computational approaches. Data analysis for each project can be performed using existing and/or novel methods to be developed in the proposed project(s), including methods for data and metadata mining, data integration, and Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL) methods. In addition to analysis of existing data, experimental or in silico work is required to validate the results of the proposed analysis, or to validate a newly developed analytic method. Projects aimed at understanding oral health disparities to inform strategies for improving health for all individuals are a priority. Projects focused on investigating and/or characterizing human biological pathways to inform identification of intervention targets or defining the pathogenicity of known genetic variants are encouraged.