NIDCR Small Research Grants for Analyses of Existing Genomics Data (R03 Clinical Trial Not Allowed)
Funding Agency:
- National Institutes of Health
Companion Funding Opportunity: PAR-23-133 , R01 Research Project
This NOFO announces support for meritorious research projects that address human DOC relevant biomedical questions by performing statistical and computational analyses of existing genomic, phenotypic, and other types of associated data. Applicants are required to address biological sex as a scientific variable by means of analytic approaches. Among research aims, applicants are required to propose experimental or in silico work to validate data analysis results or 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 uncovering and/or characterizing human biological pathways to inform identification of intervention targets or defining pathogenicity of known genetic variants are encouraged.
Publicly available genomic data types that can be analyzed together with associated metadata for DOC relevant projects include, e.g., genome-wide single nucleotide variants, whole exome sequences, whole genome sequences, transcriptomic data, epigenomic data, epitranscriptomic data, single cell genomic and expression data, and metagenomic data. In addition, other data types, if complementary to the genomic data used in a project to address the specific aims, can be analyzed along with genomic data. These include metabolomics, proteomics, and various phenotypic data types. These data are available publicly through FaceBase, HOMD, Gabriella Miller Kids First Data Resource Portal, GDC, NIMH Data Archive, dbGaP, All of Us, and other programs/data sites. Image data, including datasets available at FaceBase, TCIA, and other publicly available resources, are among data types that can be analyzed in association with genomic data. Other complementary data types include clinical and environmental exposure data (e.g., data from electronic heath records and patient data resources such as those generated by OCHIN’s ADVANCE Collaborative.) Applicants can mine, integrate, and analyze data from multiple studies for a proposed project. Data generated from human study participants, animal models, or in vitro studies can all be used for understanding human DOC conditions and traits. Data analysis of each project can be performed using existing and/or novel methods to be developed in the same project, including AI/ML/DL methods.
This NOFO strongly recommends that all data used in each project are publicly shared by the PI or others. Minimally, subsets of data used are required to be publicly shared before, during, or after the proposed project period.
The combined budget for direct costs for the two-year project period may not exceed $200,000. No more than $100,000 direct costs may be requested in any single year.
June 16, 2023; October 16, 2023
Noffisat O. Oki, Ph.D.; National Institute of Dental and Craniofacial Research (NIDCR); Telephone: 301-402-6778
Email: noffisat.oki@nih.gov