Opportunity Information: Apply for RFA MH 16 310
Apply for RFA MH 16 310
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Psychiatric Gene Networks Solving the Molecular Puzzle of Psychiatric Disorders (Collaborative R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242 Mental Health Research Grants.
- This funding opportunity was created on Mar 25, 2015 and posted on Mar 25, 2015.
- Applicants must submit their applications by Jun 29, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $2,000,000.00 to eligible and selected applicants.
- Eligible applicants include: For profit organizations other than small businesses Independent school districts Public housing authorities/Indian housing authorities Private institutions of higher education State governments Native American tribal organizations (other than Federally recognized tribal governments) County governments Special district 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 Small businesses City or township governments Public and State controlled institutions of higher education Native American tribal governments (Federally recognized) Others (see text field entitled Additional Information on Eligibility for clarification).
- 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.
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Opportunity Summary:
Psychiatric Gene Networks Solving the Molecular Puzzle of Psychiatric Disorders (Collaborative R01) is an NIH grant opportunity (Funding Opportunity Number RFA-MH-16-310) designed to push forward research that explains severe mental illnesses through the lens of gene networks and complex biological pathways rather than single genes in isolation. The central idea is to support projects that can piece together how groups of genes interact across molecular systems to influence risk for psychiatric disorders, and then connect those network-level findings to measurable biology that helps clarify whether the predicted relationships are merely correlated with disease or are plausibly causal.
The FOA emphasizes studies that combine sophisticated computational work with functional follow-up. On the computational side, applicants are expected to use cutting-edge bioinformatics, predictive modeling, and systems biology approaches to analyze multi-scale datasets. "Multi-scale" here points to integrating data that can span different biological levels and modalities, for example genetic variation, gene expression, epigenetic regulation, proteomic patterns, cellular phenotypes, circuit-level measures, or other layered datasets relevant to brain and behavior. The goal is to identify novel genetic contributors and molecular networks that map onto functional pathways implicated in psychiatric conditions, then prioritize which genes or subnetworks appear most central, disruptive, or informative for disease mechanisms.
A key requirement is that model-based predictions should not stop at discovery in a single dataset. The FOA explicitly expects replication of computational findings in independent datasets, which strengthens confidence that the detected networks and pathway signals are robust rather than artifacts of a particular cohort, platform, or analytic pipeline. Beyond replication, applicants are also expected to confirm predictions using biological measures drawn from existing and/or newly generated experimental data. In practice, this means proposals should articulate how computationally inferred networks will be anchored to real biological evidence, such as experimental validation in relevant model systems, functional assays, or other empirical measurements that can test whether the predicted genes and pathways actually affect cellular or molecular processes tied to psychiatric disease biology.
The award mechanism is an R01 research project grant and is described as "Collaborative," indicating that the program is oriented toward multi-investigator or team-based efforts that can realistically bridge computational and experimental expertise. This aligns with the FOA's expectation that applicants will be able to move from complex data integration and modeling to functional interpretation and confirmation, which often requires collaboration across computational biology, statistical genetics, neuroscience, and experimental molecular biology.
This opportunity falls under the Health funding activity category and is associated with CFDA 93.242 (Mental Health Research Grants). The agency is the National Institutes of Health, with the announcement posted and created on March 25, 2015. The original and current closing date listed is June 29, 2015, with an archive date of July 30, 2015. The FOA lists an estimated total funding level of $2,000,000 and specifies that no cost sharing or matching is required.
Eligibility is broad and includes a wide range of domestic and non-domestic entities. Eligible applicants include for-profit organizations (including small businesses), nonprofit organizations (with or without 501(c)(3) status), public and private institutions of higher education, and numerous government entities such as state, county, city/township, special district governments, and public housing authorities/Indian housing authorities. The FOA also highlights eligibility for organizations serving specific communities and institution types, including HBCUs, Hispanic-serving Institutions, Alaska Native and Native Hawaiian-serving Institutions, AANAPISI institutions, TCCUs, and other tribal organizations (including federally recognized tribal governments and other than federally recognized). Foreign organizations and regional organizations are listed as eligible, as are U.S. territories or possessions, faith-based or community-based organizations, and eligible federal agencies.
For further details, the announcement provides an additional information link to the NIH grants guide page for the FOA (http://grants.nih.gov/grants/guide/rfa-files/RFA-MH-16-310.html). For access or technical issues related to the announcement, the contact listed is the NIH Office of Extramural Research webmaster at FBOWebmaster@OD.NIH.GOV.
Frequently Asked Questions (FAQs)
What is the name of this NIH funding opportunity?
The opportunity is titled "Psychiatric Gene Networks Solving the Molecular Puzzle of Psychiatric Disorders (Collaborative R01)".
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number is RFA-MH-16-310.
Which agency is offering this grant?
The funding agency is the National Institutes of Health (NIH).
What grant mechanism does this FOA use?
This FOA uses the R01 research project grant mechanism and is described as Collaborative.
What does "Collaborative R01" mean in this context?
Based on the FOA description, the "Collaborative" emphasis reflects that projects are oriented toward team-based, multi-investigator efforts capable of bridging computational and experimental/functional work.
What is the main scientific goal of this opportunity?
The central goal is to advance research on severe mental illnesses by focusing on gene networks and complex biological pathways rather than studying single genes in isolation, and to connect network-level findings to measurable biology that helps distinguish correlation from plausible causality.
What type of research approach does the FOA emphasize?
The FOA emphasizes research that combines sophisticated computational analyses (bioinformatics, predictive modeling, systems biology) with functional follow-up to confirm and interpret model-based predictions using biological measures.
What does "multi-scale datasets" mean for this FOA?
In this FOA, "multi-scale" refers to integrating data across different biological levels and modalities, such as genetic variation, gene expression, epigenetic regulation, proteomics, cellular phenotypes, and circuit-level measures, or other layered datasets relevant to brain and behavior.
Are applicants expected to use systems biology and predictive modeling?
Yes. The FOA explicitly calls for cutting-edge bioinformatics, predictive modeling, and systems biology approaches to analyze integrated, multi-scale datasets.
What kinds of outputs or findings is the FOA trying to generate?
The FOA aims to support projects that identify novel genetic contributors and molecular networks that map onto functional pathways implicated in psychiatric conditions, and that prioritize central or disruptive genes/subnetworks that are most informative for disease mechanisms.
Is replication required?
Yes. The FOA explicitly expects replication of computational findings in independent datasets to strengthen confidence that identified networks and pathway signals are robust and not artifacts of a specific dataset, cohort, platform, or analytic pipeline.
Beyond replication, are applicants expected to confirm predictions biologically?
Yes. Proposals are expected to confirm predictions using biological measures drawn from existing and/or newly generated experimental data, anchoring computationally inferred networks to empirical evidence.
What does "functional follow-up" mean in this FOA?
Functional follow-up refers to using experimental or empirical approaches (for example, validation in relevant model systems or functional assays) to test whether predicted genes and pathways actually affect cellular or molecular processes tied to psychiatric disease biology.
Does the FOA focus on correlation versus causation?
Yes. A stated objective is to connect network-level predictions to measurable biology in ways that clarify whether predicted relationships are merely correlated with disease or plausibly causal.
What is the funding activity category?
The funding activity category is Health.
What CFDA number is associated with this opportunity?
This opportunity is associated with CFDA 93.242 (Mental Health Research Grants).
How much total funding is estimated for this FOA?
The FOA lists an estimated total funding level of $2,000,000.
Is cost sharing or matching required?
No. The FOA specifies that no cost sharing or matching is required.
When was the announcement posted/created?
The announcement was posted and created on March 25, 2015.
What is the application closing date?
The original and current closing date listed is June 29, 2015.
When was (or is) the archive date?
The FOA lists an archive date of July 30, 2015.
Who is eligible to apply?
Eligibility is broad and includes many domestic and non-domestic entities, including:
- For-profit organizations (including small businesses)
- Nonprofit organizations (with or without 501(c)(3) status)
- Public and private institutions of higher education
- State, county, city/township, special district governments
- Public housing authorities/Indian housing authorities
- U.S. territories or possessions
- Faith-based or community-based organizations
- Eligible federal agencies
- Foreign organizations and regional organizations
- Tribal organizations (including federally recognized tribal governments and those other than federally recognized)
Are minority-serving institutions specifically mentioned as eligible?
Yes. The FOA highlights eligibility for organizations and institution types including HBCUs, Hispanic-serving Institutions, Alaska Native and Native Hawaiian-serving Institutions, AANAPISI institutions, and TCCUs, among others.
Are foreign organizations eligible to apply?
Yes. The FOA explicitly lists foreign organizations as eligible, along with regional organizations.
Are U.S. territories or possessions eligible to apply?
Yes. The FOA lists U.S. territories or possessions as eligible applicants.
Are tribal governments and tribal organizations eligible?
Yes. The FOA includes tribal organizations and specifies eligibility for federally recognized tribal governments as well as those other than federally recognized.
Where can applicants find the official NIH FOA page?
The FOA provides an NIH Grants Guide link for additional details: http://grants.nih.gov/grants/guide/rfa-files/RFA-MH-16-310.html
Who should be contacted for access or technical issues with the announcement?
For access or technical issues, the contact listed is the NIH Office of Extramural Research webmaster at FBOWebmaster@OD.NIH.GOV.
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