Opportunity Information: Apply for PAR 13 392
Apply for PAR 13 392
- 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)" 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 Nov 13, 2013 and posted on Nov 13, 2013.
- Applicants must submit their applications by Jan 7, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $3,000,000.00 to eligible and selected applicants.
- Eligible applicants include: Native American tribal governments (Federally recognized) Public housing authorities/Indian housing authorities Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Public and State controlled institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education State governments Native American tribal organizations (other than Federally recognized tribal governments) For profit organizations other than small businesses County governments Special district governments Private institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification) Small businesses City or township governments Independent school districts.
- 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 Non domestic (non U.S.) Entities (Foreign Institutions) are eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The NIH funding opportunity PAR 13 392, titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01)," is a discretionary research grant aimed at pushing forward the computational side of psychiatric genetics. It focuses on a central challenge in modern mental health research: genome-wide association studies (GWAS) and sequencing projects have uncovered many DNA variants linked to mental disorders, but for most of these signals it remains difficult to tell which variants are truly functional, what they do biologically, which genes or regulatory elements they affect, and how they ultimately contribute to disease risk. This FOA is designed to support the creation of advanced computational, bioinformatic, and statistical methods that can bridge that gap between association and mechanism.
The scientific emphasis is on method development rather than simply running another large genetic study. Projects supported under this announcement are expected to produce innovative tools that help researchers interpret risk variants in the context of brain biology, including the extra complications that come with studying the nervous system. In practice, that means dealing with issues like cell-type specificity in the brain, developmental timing, regional differences across brain circuits, and the fact that many psychiatric risk variants fall in non-coding regions where they may influence gene regulation rather than protein sequence. The FOA is trying to stimulate approaches that can more confidently map variants to molecular and cellular consequences, prioritize the most plausible causal variants in associated loci, and connect those variants to genes, pathways, networks, and biological processes relevant to mental illness.
A major intended outcome is to make it easier to identify and validate potential therapeutic targets. The announcement frames the long-term goal as supporting computational methods that enable clearer functional interpretation of genetic findings so that downstream experimental work and treatment development can be guided by stronger, more mechanistic hypotheses. In other words, the computational products from these grants should help the field move from "this genomic region is associated with risk" to "this variant likely alters this regulatory mechanism in this brain cell type, affecting this gene or pathway, which can be tested and potentially targeted."
From an administrative standpoint, this is an NIH R01 mechanism (a standard research project grant) under the mental health research assistance listing CFDA 93.242. The opportunity does not require cost sharing or matching. The estimated total funding amount listed is $3,000,000. The FOA was posted and created on November 13, 2013, with an original and final closing date of January 7, 2017, and it was archived on February 7, 2017, meaning it is no longer an active application opportunity but remains useful as a reference for the types of projects NIH sought to fund in this area.
Eligibility is broad and includes many common applicant categories across government, academia, and the nonprofit and private sectors. Eligible applicants include public and state-controlled institutions of higher education, private institutions of higher education, nonprofits with and without 501(c)(3) status, for-profit organizations (other than small businesses), small businesses, state governments, county governments, city or township governments, special district governments, independent school districts, public housing authorities/Indian housing authorities, and Native American tribal governments and tribal organizations. The eligibility language also explicitly includes a wide range of institution types such as Historically Black Colleges and Universities (HBCUs), Hispanic Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), along with faith-based and community-based organizations and eligible federal agencies. Non-U.S. entities are also eligible: foreign organizations and foreign institutions can apply, non-U.S. components of U.S. organizations are eligible, and foreign components are allowed as defined by NIH policy.
The sponsoring agency is the National Institutes of Health. The full archived announcement was hosted through the NIH Grants Guide at http://grants.nih.gov/grants/guide/pa-files/PAR-13-392.html (spacing in the provided link may need correction when entered in a browser). For technical issues accessing the announcement or resolving link problems, the contact listed is the NIH Office of Extramural Research webmaster at FBOWebmaster@OD.NIH.GOV.
Overall, PAR 13 392 is best understood as an NIH effort to accelerate the development of next-generation computational approaches that translate statistical genetic associations for mental disorders into biologically meaningful, testable functional insights, with an explicit eye toward improving target discovery and the eventual development of new treatments.
Frequently Asked Questions (FAQs)
What is PAR-13-392?
PAR-13-392 is an archived NIH Funding Opportunity Announcement (FOA) titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01)." It describes NIH's interest in funding research projects that develop new computational, bioinformatic, and statistical methods to interpret DNA variants associated with mental disorders.
What type of grant mechanism does this opportunity use?
This FOA uses the NIH R01 mechanism, which is a standard Research Project Grant.
Is PAR-13-392 still open for applications?
No. The FOA had an original and final closing date of January 7, 2017, and it was archived on February 7, 2017. It is no longer an active application opportunity, but it can still be referenced to understand the kinds of projects NIH sought to fund in this area.
Who is the sponsoring agency for this FOA?
The sponsoring agency is the National Institutes of Health (NIH).
What scientific problem is this FOA trying to address?
The FOA targets a central problem in psychiatric genetics: GWAS and sequencing studies have identified many DNA variants associated with mental disorders, but it is often unclear which variants are truly functional, what biological effects they have, which genes or regulatory elements they influence, and how they contribute to disease risk.
What is the main scientific emphasis of the FOA?
The emphasis is on method development rather than running another large genetic association study. Projects were expected to create innovative computational, bioinformatic, and statistical tools that help translate genetic association signals into functional and mechanistic understanding in the context of brain biology.
What kinds of methods or tools was NIH looking to support?
The FOA was designed to support advanced computational approaches that can bridge the gap between association and mechanism, including methods to prioritize plausible causal variants, map variants to molecular and cellular consequences, and connect variants to genes, pathways, networks, and biological processes relevant to mental illness.
Why is interpreting psychiatric risk variants especially challenging?
The FOA highlights complications specific to the nervous system, such as cell-type specificity in the brain, developmental timing, regional differences across brain circuits, and the fact that many psychiatric risk variants fall in non-coding regions where they may affect gene regulation rather than protein sequence.
Does the FOA focus on coding variants, non-coding variants, or both?
It specifically notes that many psychiatric risk variants are in non-coding regions and may influence gene regulation. The overall goal is functional interpretation of risk variants, including those in non-coding regions.
What is the expected long-term impact of projects funded under this FOA?
A major intended outcome is to make it easier to identify and validate potential therapeutic targets by enabling clearer functional interpretation of genetic findings. The FOA frames the long-term goal as helping the field move from "an associated genomic region" to a testable, mechanistic hypothesis (for example, a variant altering a regulatory mechanism in a particular brain cell type that affects a gene or pathway).
Does this FOA require cost sharing or matching funds?
No. The opportunity does not require cost sharing or matching.
How much total funding was estimated for this FOA?
The estimated total funding amount listed is $3,000,000.
What is the CFDA (assistance listing) number associated with this opportunity?
The FOA is listed under CFDA 93.242 (mental health research assistance listing).
When was the FOA posted and created?
The FOA was posted and created on November 13, 2013.
What were the closing dates for applications?
The FOA lists an original closing date and a final closing date of January 7, 2017.
When was the FOA archived?
It was archived on February 7, 2017.
Who is eligible to apply (in general terms)?
Eligibility is broad and includes many categories across academia, government, nonprofit, and private sectors, including higher education institutions (public and private), nonprofits (with and without 501(c)(3) status), for-profit organizations (other than small businesses), small businesses, and multiple levels of government.
Are U.S. state and local government entities eligible?
Yes. The eligibility list includes state governments, county governments, city or township governments, special district governments, independent school districts, and public housing authorities/Indian housing authorities.
Are Tribal governments and Tribal organizations eligible?
Yes. Eligible applicants include Native American tribal governments and tribal organizations.
Are specific minority-serving institutions explicitly included in eligibility?
Yes. The eligibility language explicitly includes institution types such as Historically Black Colleges and Universities (HBCUs), Hispanic Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISIs).
Are faith-based and community-based organizations eligible?
Yes. The eligibility language explicitly includes faith-based and community-based organizations.
Are federal agencies eligible to apply?
Yes. The eligibility language includes eligible federal agencies.
Can foreign (non-U.S.) organizations apply?
Yes. The FOA explicitly states that foreign organizations and foreign institutions can apply. It also allows non-U.S. components of U.S. organizations and foreign components, as defined by NIH policy.
Where can I find the archived announcement?
The archived announcement was hosted through the NIH Grants Guide at: http://grants.nih.gov/grants/guide/pa-files/PAR-13-392.html (note that spacing in the provided link may need correction when entered in a browser).
Who should be contacted for technical issues with accessing the announcement or link problems?
The contact listed for technical issues is the NIH Office of Extramural Research webmaster at FBOWebmaster@OD.NIH.GOV.
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