Opportunity Information: Apply for RFA MH 16 235
Apply for RFA MH 16 235
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Limited Competition Multi scale Molecular Profiling of Brains from Psychiatric Cohorts (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 Sep 1, 2015 and posted on Sep 1, 2015.
- Applicants must submit their applications by Nov 3, 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 $3,000,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 6 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- Other Eligible Applicants include the following Non domestic (non U.S.) Entities (Foreign Organizations) This FOA is limited to the awardees of the PsychENCODE Consortium and Common Mind Consortium
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Opportunity Summary:
The funding opportunity titled "Limited Competition Multi scale Molecular Profiling of Brains from Psychiatric Cohorts (R01)" (Funding Opportunity Number RFA-MH-16-235) is a National Institutes of Health (NIH) research grant announcement in the mental health area designed to deepen the biological understanding of psychiatric disorders using human postmortem brain tissue. Its central aim is to support projects that map, compare, and interpret multi-modal molecular changes across multiple brain regions in individuals with psychiatric illnesses, with the broader goal of building more accurate molecular models of those disorders. Rather than focusing on a single data type, the announcement emphasizes comprehensive, multi-scale molecular profiling, meaning applicants are expected to integrate more than one kind of molecular measurement (for example, different layers of genomic and epigenomic regulation, gene expression, and other molecular readouts) and examine how these signals vary across brain areas and relate to clinical and phenotypic information.
A key feature of this announcement is that it is a limited competition. Eligibility is restricted to investigators affiliated with, and awardees of, two specific large-scale collaborative efforts: the CommonMind Consortium and the PsychENCODE Consortium. The reason for this restriction is that these consortia already have access to large, high-quality, well-characterized human brain collections, including brains from patients with psychiatric disorders, along with extensive associated phenotypic and clinical data. The FOA is essentially leveraging those existing resources so the funded projects can move quickly into high-impact analyses rather than spending time assembling new cohorts. Non-U.S. (foreign) organizations are noted as eligible, but only to the extent that they are part of the eligible consortium awardee group, since the FOA limits competition to those consortium awardees.
From a practical funding standpoint, this is an R01 mechanism, which typically supports substantial, multi-year research projects. NIH anticipated making about 6 awards under this announcement, with an estimated total funding level of about $3,000,000. The activity category is health, and it is associated with CFDA number 93.242 (Mental Health Research Grants). There is no cost sharing or matching requirement stated for applicants, which means applicants are not expected to commit institutional matching funds as a condition of the award.
In terms of what applications are meant to accomplish scientifically, the opportunity is aimed at producing an integrated "landscape" of molecular alterations across brain regions in psychiatric cohorts. That phrase signals an emphasis on breadth and integration: mapping molecular differences across multiple regions rather than a single target area, and combining multiple molecular modalities to better capture the complexity of psychiatric disease biology. The ultimate deliverable NIH is steering toward is stronger molecular models of psychiatric disorders, which could support later work on mechanisms, biomarkers, and therapeutic target discovery. Because the FOA is tied to existing, phenotypically well-characterized collections, it also implicitly encourages careful linkage between molecular findings and clinical variables, diagnostic categories, and other phenotype definitions available within those cohorts.
Administratively, the opportunity was posted on September 1, 2015, with an original and current closing date of November 3, 2015, and an archive date of December 4, 2015. The sponsoring agency is NIH, and the full announcement was provided through the NIH grants guide at the link included in the source material (http://grants.nih.gov/grants/guide/rfa-files/RFA-MH-16-235.html). For access or technical issues with the posting, the contact listed is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
Frequently Asked Questions (FAQs)
What is the title and funding opportunity number for this grant?
The opportunity is titled "Limited Competition Multi scale Molecular Profiling of Brains from Psychiatric Cohorts (R01)." The Funding Opportunity Number is RFA-MH-16-235.
Which agency is offering this funding opportunity?
The sponsoring agency is the National Institutes of Health (NIH).
What type of grant mechanism is used for this opportunity?
This funding opportunity uses the NIH R01 mechanism, which is typically used to support substantial, multi-year research projects.
What is the main scientific purpose of this FOA?
The central aim is to deepen the biological understanding of psychiatric disorders using human postmortem brain tissue by supporting projects that map, compare, and interpret multi-modal molecular changes across multiple brain regions in individuals with psychiatric illnesses. The broader goal is to build more accurate molecular models of those disorders.
What does "multi-scale" or "multi-modal molecular profiling" mean in the context of this announcement?
The FOA emphasizes comprehensive profiling across more than one kind of molecular measurement rather than focusing on a single data type. The description highlights integrating multiple molecular readouts (for example, different layers of genomic and epigenomic regulation, gene expression, and other molecular signals) and examining how those signals vary across brain areas and relate to clinical and phenotypic information.
What kinds of samples are the focus of the research?
The focus is on human postmortem brain tissue, specifically brains from psychiatric cohorts (individuals with psychiatric illnesses) available through the eligible consortia.
Does the FOA emphasize studying one brain region or multiple regions?
The FOA stresses mapping molecular differences across multiple brain regions and producing an integrated "landscape" of molecular alterations across brain regions in psychiatric cohorts.
Is this a limited competition opportunity?
Yes. This is explicitly described as a limited competition FOA.
Who is eligible to apply?
Eligibility is restricted to investigators affiliated with, and awardees of, two specific large-scale collaborative efforts: the CommonMind Consortium and the PsychENCODE Consortium.
Why is eligibility restricted to CommonMind Consortium and PsychENCODE Consortium awardees?
The restriction is explained as a way to leverage existing large, high-quality, well-characterized human brain collections already accessible to those consortia, along with extensive associated phenotypic and clinical data. This allows funded projects to move quickly into high-impact analyses rather than spending time assembling new cohorts.
Are non-U.S. (foreign) organizations eligible?
Non-U.S. organizations are noted as eligible, but only to the extent that they are part of the eligible consortium awardee group, because the FOA limits competition to CommonMind Consortium and PsychENCODE Consortium awardees.
How many awards did NIH anticipate making?
NIH anticipated making about 6 awards under this announcement.
What was the estimated total funding level for this FOA?
The estimated total funding level was about $3,000,000.
Is cost sharing or matching required?
No cost sharing or matching requirement is stated. Applicants are not expected to commit institutional matching funds as a condition of the award.
What is the activity category for this opportunity?
The activity category is health.
What CFDA number is associated with this FOA?
The FOA is associated with CFDA number 93.242 (Mental Health Research Grants).
What outcomes or deliverables is NIH steering funded projects toward?
The FOA indicates an emphasis on producing an integrated "landscape" of molecular alterations across brain regions in psychiatric cohorts and building stronger molecular models of psychiatric disorders. The description also notes that these models could support later work on mechanisms, biomarkers, and therapeutic target discovery.
Does the opportunity encourage linking molecular results to clinical or phenotypic data?
Yes. Because the FOA leverages phenotypically well-characterized collections, it implicitly encourages careful linkage between molecular findings and clinical variables, diagnostic categories, and other phenotype definitions available within those cohorts.
When was the opportunity posted?
The opportunity was posted on September 1, 2015.
What was the application closing date?
The original and current closing date listed is November 3, 2015.
When was the opportunity archived?
The archive date is December 4, 2015.
Where can the full announcement be found?
The full announcement is available through the NIH grants guide at: http://grants.nih.gov/grants/guide/rfa-files/RFA-MH-16-235.html
Who is listed as the contact for access or technical issues with the posting?
For access or technical issues with the posting, the contact listed is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
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