New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 (Collab) Clinical Trial Not Allowed) | PA 18 907

Opportunity Information: Apply for PA 18 907

This National Institutes of Health (NIH) grant opportunity, titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 (Collab) Clinical Trial Not Allowed)" (Funding Opportunity Number: PA-18-907; CFDA: 93.242), supports research projects focused on building next-generation computational, bioinformatic, and statistical approaches that can clarify what genetic variants linked to mental disorders actually do biologically. The emphasis is on mental illnesses with complex causes, where many variants each contribute small effects and where brain-specific biology introduces extra layers of complexity compared to other organ systems. Rather than funding clinical trials, the FOA is designed to strengthen the computational toolkit needed to move from association signals found in genome-wide association studies (GWAS) or sequencing studies to credible functional interpretations that can guide biology-driven treatment discovery.

At its core, the program aims to close a persistent gap in psychiatric genetics: large studies can identify DNA variants associated with disorders, but translating those findings into mechanisms, affected cell types, pathways, and therapeutic hypotheses remains difficult. This FOA prioritizes method development that improves functional inference, such as approaches to pinpoint likely causal variants within associated loci, connect variants to regulatory elements and target genes, infer effects in specific brain regions or cell types, and integrate diverse data modalities. The opportunity explicitly recognizes that the brain presents special challenges, including high cellular diversity, developmental timing effects, context-specific gene regulation, and limited accessibility of living brain tissue. As a result, proposed methods are expected to account for nuances like cell-type specificity, spatiotemporal regulation across development, and the interpretation of noncoding variation that may influence gene regulation rather than protein sequence.

The mechanism is an R01 delivered as a collaborative (linked) set of applications, intended for projects that genuinely require two or more research sites to succeed. Each participating site submits its own linked R01 application and must name its own Program Director/Principal Investigator. The linked structure is meant to support coordinated multi-site science while maintaining clear responsibility and accountability at each institution. The collaborative format also highlights practical infrastructure needs that are often essential for computational method development at scale, including cross-site coordination plans, harmonized quality control procedures, shared database or data management strategies, statistical analysis coordination, and consistent reporting across the team. In other words, this is not just multiple groups working in parallel; it is a formally integrated effort with explicit plans for how the consortium will operate as a single coherent project.

The eligible applicant pool is broad and includes many types of U.S. governmental entities and organizations, such as state, county, city or township governments, special district governments, and independent school districts, as well as public and state-controlled institutions of higher education, private institutions of higher education, small businesses, and for-profit organizations (other than small businesses). It also includes a wide range of nonprofit organizations, both with and without 501(c)(3) status, and Native American tribal governments (federally recognized) and tribal organizations (including those other than federally recognized tribal governments). The FOA also explicitly names additional eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISISs), Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and non-U.S. (foreign) entities. This breadth signals NIH interest in drawing on diverse institutional strengths, including data science, neuroscience, psychiatry, genetics, and community-rooted research capacity, while still keeping the scope centered on computational and statistical innovation rather than interventional clinical research.

Administratively, this is a discretionary grant program run through NIH, created on August 29, 2018, with an original closing date listed as May 7, 2022. The opportunity listing does not specify an award ceiling or the expected number of awards in the provided text, which typically means applicants would need to consult the full FOA and NIH institute-specific guidance for budgeting expectations, project period norms, and any caps or constraints that could apply. The key operational takeaway is that the FOA is built for multi-institution collaborations developing methods that can translate psychiatric genetic findings into functional understanding, with the long-term vision of enabling new therapeutics grounded in human biology rather than relying only on symptom-based frameworks.

• The National Institutes of Health in the health sector is offering a public funding opportunity titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 (Collab) Clinical Trial Not Allowed)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242.
• This funding opportunity was created on 2018-08-29.
• Applicants must submit their applications by 2022-05-07. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Eligible applicants include: 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.

Apply for PA 18 907

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