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

Frequently Asked Questions (FAQs)

What is the title of this NIH funding opportunity?

The opportunity is titled "New Computational Methods for Understanding the Functional Role of DNA Variants that are Associated with Mental Disorders (R01 (Collab) Clinical Trial Not Allowed)."

What is the Funding Opportunity Number (FOA number)?

The Funding Opportunity Number is PA-18-907.

What CFDA number is associated with this program?

The CFDA number listed is 93.242.

What is the main purpose of this grant opportunity?

The program supports research projects that develop next-generation computational, bioinformatic, and statistical methods to clarify the biological function of DNA variants associated with mental disorders. A central goal is to improve the ability to translate genetic association signals (for example, from GWAS or sequencing studies) into credible functional interpretations that can guide biology-driven treatment discovery.

What scientific gap is this FOA trying to address?

The FOA is designed to close a persistent gap in psychiatric genetics: large studies can identify variants associated with mental disorders, but turning those associations into mechanisms, relevant cell types, pathways, and therapeutic hypotheses remains difficult. The FOA prioritizes computational method development that improves functional inference from genetic findings.

What kinds of research approaches does the FOA emphasize?

The emphasis is on building and improving computational, bioinformatic, and statistical approaches that help move from association signals to functional understanding. Examples described include methods to identify likely causal variants within associated loci, connect variants to regulatory elements and target genes, infer impacts in specific brain regions or cell types, and integrate diverse data modalities.

Does this FOA fund clinical trials?

No. The opportunity is explicitly labeled "Clinical Trial Not Allowed," and it is intended to strengthen computational and statistical toolkits rather than support interventional clinical research.

What types of mental disorders or genetic architectures are most relevant to this FOA?

The FOA focuses on mental illnesses with complex causes, where many genetic variants each contribute small effects. It is framed around the challenges typical of psychiatric genetics, including the difficulty of interpreting association signals in the context of brain-specific biology.

Why does this FOA highlight brain-specific complexity?

The FOA recognizes that the brain has special challenges compared to other organ systems, including high cellular diversity, developmental timing effects, context-specific gene regulation, and limited accessibility of living brain tissue. Proposed methods are expected to account for these nuances when making functional inferences from genetic variants.

Is the FOA particularly interested in noncoding variants?

Yes. The description notes the importance of interpreting noncoding variation that may affect gene regulation rather than protein sequence, and it emphasizes linking variants to regulatory elements and target genes.

What does "functional role" mean in the context of this FOA?

Based on the description, "functional role" refers to understanding what associated DNA variants do biologically, such as how they influence gene regulation, which cell types or brain regions they affect, what pathways they perturb, and how they might contribute to mechanisms relevant to mental disorders.

What NIH grant mechanism is used for this opportunity?

The mechanism is an R01, delivered as a collaborative (linked) set of applications.

What does it mean that this is an "R01 (Collab)" or "linked" application?

This format is intended for projects that genuinely require two or more research sites to succeed. Each participating site submits its own linked R01 application. The structure is meant to support coordinated multi-site work while keeping clear responsibility and accountability at each institution.

Does each collaborating site need its own Program Director/Principal Investigator (PD/PI)?

Yes. Each participating site must name its own Program Director/Principal Investigator and submit its own linked R01 application.

Is it enough for multiple groups to work in parallel, or is deeper integration expected?

Deeper integration is expected. The description emphasizes a formally integrated effort with explicit plans for how the consortium will operate as a single coherent project, not simply multiple groups working independently.

What types of coordination or infrastructure plans are highlighted as important for collaborative computational work?

The FOA highlights practical cross-site needs 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.

Who is eligible to apply?

The eligible applicant pool is broad and includes many U.S. governmental entities and organizations (for example, 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). Eligibility also includes nonprofit organizations with or without 501(c)(3) status, and Native American tribal governments (federally recognized) and tribal organizations (including those other than federally recognized tribal governments).

Are minority-serving and community-anchored institutions explicitly included in eligibility?

Yes. The FOA explicitly names 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), and faith-based or community-based organizations as eligible applicants.

Can federal agencies apply?

Yes. Eligible applicants explicitly include eligible federal agencies.

Are U.S. territories or possessions eligible?

Yes. The FOA lists regional organizations and U.S. territories or possessions among eligible applicants.

Are non-U.S. (foreign) entities eligible to apply?

Yes. The FOA explicitly includes non-U.S. (foreign) entities as eligible applicants.

Is this opportunity limited to academic institutions?

No. In addition to higher education institutions, the eligibility list includes governmental entities, nonprofits, small businesses, and for-profit organizations (other than small businesses), among others.

When was this grant program created?

The opportunity is described as having been created on August 29, 2018.

What is the closing date listed in the opportunity description?

The original closing date listed is May 7, 2022.

Is an award ceiling provided in the information shown?

No. The provided text states that the listing does not specify an award ceiling.

Does the description state how many awards NIH expects to make?

No. The provided text indicates that the expected number of awards is not specified in the information shown.

Where should applicants look for budgeting expectations or project period norms?

The description indicates that applicants would typically 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.

What is the long-term vision behind funding these computational methods?

The long-term vision described is to enable new therapeutics grounded in human biology by improving the translation of psychiatric genetic findings into functional understanding, rather than relying only on symptom-based frameworks.

What types of genetic studies are mentioned as sources of association signals?

The FOA description mentions association signals found in genome-wide association studies (GWAS) and sequencing studies as examples of the kinds of findings that methods should help interpret.

What specific functional inferences are prioritized?

The FOA prioritizes computational methods that can help: (1) pinpoint likely causal variants within associated loci, (2) connect variants to regulatory elements and target genes, (3) infer effects in specific brain regions or cell types, and (4) integrate diverse data modalities for stronger functional interpretation.

What aspects of biology are methods expected to account for in the brain?

Methods are expected to address factors such as cell-type specificity, spatiotemporal regulation across development, context-specific gene regulation, and the practical limitation that living brain tissue is not easily accessible.

Is this FOA described as a discretionary grant program?

Yes. Administratively, it is described as a discretionary grant program run through NIH.