Opportunity Information: Apply for PA 18 908
The National Institutes of Health (NIH) funding opportunity titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 Clinical Trial Not Allowed)" (Funding Opportunity Number: PA 18 908) is a discretionary grant program in the health research category (CFDA 93.242). It is designed to fund research projects that create and refine advanced computational, bioinformatic, and statistical methods aimed at answering a central problem in psychiatric genetics: once genome-wide association studies (GWAS) or sequencing studies identify DNA variants linked to mental disorders, how do researchers determine which of those variants are actually doing something biologically meaningful, in what cells, at what developmental time points, and through what molecular mechanisms?
The core purpose of the announcement is method development rather than traditional hypothesis testing in a single disorder cohort. The intent is to support innovative tool-building that helps move from statistical association to functional interpretation, especially in the context of mental illnesses that have complex, multifactorial causes. Many risk variants discovered through GWAS fall in non-coding regions of the genome and may influence gene regulation rather than changing protein sequence. This FOA emphasizes building computational approaches that can connect those variants to regulatory elements, target genes, relevant brain cell types, neural circuits, and biological pathways. In practice, that can include algorithms and pipelines that integrate large-scale genomic and epigenomic data, models that prioritize likely causal variants within associated loci, and statistical frameworks that better account for linkage disequilibrium, polygenicity, and heterogeneous clinical phenotypes.
A defining feature of the opportunity is its focus on the special complexities of brain-related disorders. Compared with many other tissues, the brain presents unique challenges for functional interpretation of genetic variation: high cellular diversity (neuronal and glial subtypes), strong regional specificity across brain areas, dynamic gene regulation across development and aging, and limited access to living human brain tissue. The FOA encourages computational methods that explicitly handle these nuances, for example by using single-cell or spatial transcriptomic references, developmental epigenomic maps, brain-specific chromatin accessibility and 3D genome interaction data, and approaches that can reconcile signals across multiple data modalities. The overarching goal is to accelerate understanding of how genetic risk translates into biological dysfunction in mental illness and, in the longer run, to provide a more reliable path toward identifying therapeutic targets grounded in human biology.
The award mechanism is the NIH R01, indicating support for substantial, multi-year research projects appropriate for established or well-developed method development programs. The notice specifies "Clinical Trial Not Allowed," which means the funded work should not involve prospective assignment of human participants to interventions to evaluate health-related outcomes. In other words, it is intended for computational, statistical, and informatics research (including analysis of existing datasets and development of new computational tools) rather than interventional clinical studies. While projects may use human genomic data and may analyze data linked to clinical phenotypes, the activities must stay within non-clinical-trial boundaries.
Eligibility is broad and includes many categories of domestic and non-domestic organizations. Standard eligible applicants listed include state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; tribal organizations that are not federally recognized; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (other than institutions of higher education); for-profit organizations (other than small businesses); and small businesses. The FOA also highlights additional eligible applicant types such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISI), Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, U.S. territories or possessions, regional organizations, and foreign (non-U.S.) entities. This broad eligibility signals NIH interest in encouraging wide participation, including from institutions serving underrepresented communities and from international groups with relevant expertise.
Key administrative details from the source information include the opportunity’s creation date (2018-08-29) and an original closing date listed as 2022-05-07. The listing does not provide an award ceiling or the expected number of awards in the provided fields, which suggests applicants would need to consult the full FOA text or NIH guidance for typical budget ranges, project periods, and paylines associated with the participating NIH institute(s). Overall, the opportunity is best understood as a push to strengthen the computational toolbox needed to translate psychiatric genetic discoveries into functional insights, with the long-term aim of improving mechanistic understanding and enabling more biologically informed strategies for treatment development.Apply for PA 18 908
- 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 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.
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Frequently Asked Questions (FAQs)
What is the title of this NIH funding opportunity?
The funding opportunity is titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 Clinical Trial Not Allowed)."
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is PA 18 908.
What agency is offering this grant?
This opportunity is offered by the National Institutes of Health (NIH).
What type of award mechanism is used?
The award mechanism is an NIH R01, which is typically used to support substantial, multi-year research projects.
What is the main purpose of this funding opportunity?
The main purpose is to support the creation and refinement of advanced computational, bioinformatic, and statistical methods that help interpret DNA variants associated with mental disorders, especially moving from statistical association (such as GWAS signals) to functional biological understanding.
Is this opportunity focused on method development or on testing a single biological hypothesis?
It is focused on method development and tool-building rather than traditional hypothesis testing within a single disorder cohort.
What central problem in psychiatric genetics is this FOA trying to address?
It targets the challenge of determining which DNA variants linked to mental disorders are biologically meaningful, in which cell types they act, at what developmental time points, and through which molecular mechanisms.
What kinds of genetic studies are referenced as sources of risk variants?
The opportunity specifically references genome-wide association studies (GWAS) and sequencing studies as sources that identify DNA variants linked to mental disorders.
Why does the FOA emphasize non-coding variants?
Many risk variants identified through GWAS fall in non-coding regions and may influence gene regulation rather than altering protein sequences, so computational methods are needed to connect those variants to regulatory function and downstream biological effects.
What kinds of computational approaches does the FOA encourage?
It encourages approaches such as algorithms and pipelines that integrate large-scale genomic and epigenomic data, models that prioritize likely causal variants within associated loci, and statistical frameworks that better account for linkage disequilibrium, polygenicity, and heterogeneous clinical phenotypes.
Does this funding opportunity emphasize brain-specific challenges?
Yes. It highlights that brain-related disorders raise special complexities, including high cellular diversity, regional specificity, dynamic gene regulation across development and aging, and limited access to living human brain tissue.
What types of data modalities are mentioned as relevant for these methods?
Examples mentioned include single-cell or spatial transcriptomic references, developmental epigenomic maps, brain-specific chromatin accessibility data, and 3D genome interaction data, as well as approaches that reconcile signals across multiple data modalities.
What is the long-term goal of developing these computational methods?
The long-term goal is to accelerate understanding of how genetic risk translates into biological dysfunction in mental illness and to provide a more reliable path toward identifying therapeutic targets grounded in human biology.
Are clinical trials allowed under this FOA?
No. The FOA is marked "Clinical Trial Not Allowed," meaning the funded work should not include prospective assignment of human participants to interventions to evaluate health-related outcomes.
What kinds of studies are appropriate given the "Clinical Trial Not Allowed" restriction?
Appropriate activities include computational, statistical, and informatics research, such as developing new computational tools and analyzing existing datasets, including human genomic data linked to clinical phenotypes, as long as the work stays within non-clinical-trial boundaries.
What is the program category and CFDA number listed?
It is described as a discretionary grant program in the health research category, with CFDA 93.242.
Who is eligible to apply?
Eligibility is broad and includes domestic and non-domestic organizations. Examples listed include state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; non-federally recognized tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (other than institutions of higher education); for-profit organizations (other than small businesses); and small businesses.
Are foreign (non-U.S.) entities eligible?
Yes. Foreign (non-U.S.) entities are explicitly listed among eligible applicant types.
Does the FOA encourage applications from institutions serving underrepresented communities?
Yes. It highlights eligibility for a range of institution types such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISI), Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs), among others.
Are faith-based or community-based organizations included as eligible applicants?
Yes, faith-based or community-based organizations are listed among the additional eligible applicant types.
Are eligible federal agencies, U.S. territories, or regional organizations included?
Yes. Eligible federal agencies, U.S. territories or possessions, and regional organizations are listed as eligible applicant types.
What is the creation date shown for this opportunity?
The creation date provided is 2018-08-29.
What closing date is listed in the provided information?
An original closing date of 2022-05-07 is listed in the provided information.
Does the provided listing include an award ceiling or the expected number of awards?
No. The provided fields do not include an award ceiling or an expected number of awards, indicating those details may need to be obtained from the full FOA text or related NIH guidance.
What kinds of scientific outputs does this FOA seem designed to produce?
Based on the description, it is designed to produce new or improved computational methods, algorithms, statistical frameworks, and analysis pipelines that help interpret psychiatric genetics findings and connect variants to regulatory elements, target genes, relevant brain cell types, circuits, and pathways.
How does the FOA describe the challenge of working with the brain compared to other tissues?
It notes challenges such as high neuronal and glial subtype diversity, strong regional specificity across brain areas, gene regulation that changes across development and aging, and limited access to living human brain tissue.
Does the FOA indicate that projects can use human genomic data?
Yes. It indicates that projects may use human genomic data and may analyze data linked to clinical phenotypes, provided the work remains non-interventional and does not meet the definition of a clinical trial.
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| New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 (Collab) Clinical Trial Not Allowed) Apply for PA 18 907 Funding Number: PA 18 907 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Pre-application for the NIH-Industry Program: Discovering New Therapeutic Uses for Existing Molecules (X02 Clinical Trials Not Allowed) Apply for PAR 18 909 Funding Number: PAR 18 909 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Limited Competition for NIH-Industry Program: Discovering New Therapeutic Uses for Existing Molecules (U01) (Clinical Trial Required) Apply for PAR 18 910 Funding Number: PAR 18 910 Agency: National Institutes of Health Category: Health Funding Amount: $3,000,000 |
| U.S. - India Collaborative Vision Research Program (R01 Clinical Trial Not Allowed) Apply for PAR 18 912 Funding Number: PAR 18 912 Agency: National Institutes of Health Category: Health Funding Amount: $250,000 |
| Supplements to Advance Research (STAR) from Projects to Programs (Admin Supp)- Clinical Trial Not Allowed Apply for PA 18 914 Funding Number: PA 18 914 Agency: National Institutes of Health Category: Health Funding Amount: $300,000 |
| Screening and Management of Unhealthy Alcohol Use in Primary Care: Dissemination and Implementation of PCOR Evidence (R18) Apply for RFA HS 18 002 Funding Number: RFA HS 18 002 Agency: Agency for Health Care Research and Quality Category: Health Funding Amount: Case Dependent |
| Novel Mechanism Research on Neuropsychiatric Symptoms (NPS) in Alzheimers Dementia (R01 Clinical Trial Optional) Apply for RFA MH 19 510 Funding Number: RFA MH 19 510 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Characterization of Mycobacterial Induced Immunity in HIV-infected and Uninfected Individuals (R21 Clinical Trial Not Allowed) Apply for PAR 18 923 Funding Number: PAR 18 923 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Novel Mechanism Research on Neuropsychiatric Symptoms (NPS) in Alzheimers Dementia (R21 Clinical Trial Optional) Apply for RFA MH 19 511 Funding Number: RFA MH 19 511 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Primary Caregiver Technical Assistance Supplements (PCTAS) (Clinical Trial Optional Admin Supp) Apply for PA 18 926 Funding Number: PA 18 926 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Innovative Technologies for HIV Behavioral and Social Science Research (R43/R44 Clinical Trial Optional) Apply for PA 18 928 Funding Number: PA 18 928 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Innovative Technologies for HIV Behavioral and Social Science Research (R41/R42 Clinical Trial Optional) Apply for PA 18 927 Funding Number: PA 18 927 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| NIDCR Award for Sustaining Outstanding Achievement in Research (SOAR) (R35 Clinical Trial Not Allowed) Apply for RFA DE 19 005 Funding Number: RFA DE 19 005 Agency: National Institutes of Health Category: Health Funding Amount: $650,000 |
| Research Centers in Minority Institutions (RCMI) (U54)- Clinical Trials Optional Apply for RFA MD 18 012 Funding Number: RFA MD 18 012 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| High-Priority Areas for Research Leveraging EHR and Large-Scale Data (R01 Clinical Trial Not Allowed) Apply for PAR 18 929 Funding Number: PAR 18 929 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Development and Optimization of Tasks and Measures for Functional Domains of Behavior (R01 Clinical Trial Not Allowed) Apply for PAR 18 930 Funding Number: PAR 18 930 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| NIH Administrative Supplements to Recover Losses Due to Hurricanes Harvey, Irma, and Maria Under the Bipartisan Budget Act of 2018 Non-Construction (Admin Supp Clinical Trial Optional) Apply for PA 18 936 Funding Number: PA 18 936 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Research on Chronic Overlapping Pain Conditions (R21 Clinical Trial Not Allowed) Apply for PA 18 939 Funding Number: PA 18 939 Agency: National Institutes of Health Category: Health Funding Amount: $200,000 |
| Research on Chronic Overlapping Pain Conditions (R01 Clinical Trial Optional) Apply for PA 18 937 Funding Number: PA 18 937 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
| Clinical and Translational Science Award (U54 Clinical Trial Optional) Apply for PAR 18 940 Funding Number: PAR 18 940 Agency: National Institutes of Health Category: Health Funding Amount: Case Dependent |
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