Closed · RFA-MH-21-165 · CFDA 93.242 · Discretionary
From Genomic Association to Causation: A Convergent Neuroscience Approach to Linking Levels of Analysis for Understanding Neuropsychiatric Disorders (U19 Clinical Trial Optional)
Federal grant opportunity posted by National Institutes of Health, cataloged on Grants.gov.
- Varies
- Award range
- Closed
- Status
- March 17, 2021
- Close date
- -
- Expected awards
The verdict
From Genomic Association to Causation: A Convergent Neuroscience Approach to Linking Levels of Analysis for Understanding Neuropsychiatric Disorders (U19 Clinical Trial Optional) is a closed discretionary listing from National Institutes of Health that offered Varies by applicant. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 12,419 other opportunities from National Institutes of Health.
- Varies
- award range
- Closed
- application status
- 93.242
- CFDA program
- 12,419
- other opportunities from National Institutes of Health
Archived opportunity record
From Genomic Association to Causation: A Conv… is closed (last close March 17, 2021). The parent program page for CFDA 93.242 is the reliable place to catch re-announcements. National Institutes of Health still indexes 12,419 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed March 17, 2021
Instrument
Cooperative Agreement
Description
This Funding Opportunity Announcement (FOA) supports research to understand causal linkages across different scales (e.g., molecular, cellular, circuit, behavioral, clinical) relevant to neuropsychiatric disorders. The Convergent Neuroscience (CN) program goal is to establish theoretical models to show how specific constituent processes at one level of analysis contribute to quantifiable properties at other levels, either directly or as emergent phenomenon. Studies should incorporate four key features: (1) a premise on identifying the causal and disease-relevant relationships between objective genetic/biological/clinical criteria at two or more contiguous levels of analysis, whether involving human subjects or experimentally tractable in vivo or in vitro paradigms (genetic variation can be one of the contiguous levels of analysis or can be the context in which other, higher levels of analysis are linked); (2) use of the large and diverse datasets existing or generated at these levels of analysis to develop testable theoretical models within three years of award; (3) experimental testing of the model-based predictions to confirm or reject their validity, (4) preferential utilization of scalable approaches to maximize analytic throughput, content, sensitivity, selectivity, spatiotemporal resolution and robustness. Results should yield causal linkages between levels of analysis and mechanistically explain key functional dimension(s) relevant to mental illness pathophysiology. Leadership of research teams will include expertise in experimental neurobiology or clinical research paired with orthogonal theoretical disciplines (e.g., mathematics, computation, physics). This endeavor will be facilitated by active participation in a community-driven manner through the CN Consortium. Groups will manage their data and analysis methods using a harmonized framework with other U19 awardees through a CN Consortium Data Commons structure.
Wide-open applicant board · 15 Grants.gov doors
From Genomic Association to Causation: A Conv… prints 15 distinct Grants.gov eligibility doors (State governments; County governments; City or township governments; Special district governments; +11 more). Filter fit before reading award size as demand — most applicant classes appear on the row. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Health (HL). This eligibility-code string dominates the National Institutes of Health book (9,741 peers, 78% of 12,420).
- Code 00
- State governments
- Code 01
- County governments
- Code 02
- City or township governments
- Code 04
- Special district governments
- Code 05
- Independent school districts
- Code 06
- Public / state-controlled institutions of higher education
- Code 07
- Federally recognized tribal governments
- Code 08
- Public / Indian housing authorities
- Code 11
- Native American tribal organizations (other than Federally recognized tribal governments)
- Code 12
- Nonprofits with 501(c)(3) status (other than IHEs)
- Code 13
- Nonprofits without 501(c)(3) status (other than IHEs)
- Code 20
- Private institutions of higher education
- Code 22
- For-profit organizations other than small businesses
- Code 23
- Small businesses
- Code 25
- Others (see official listing text)
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Mental Health Research Grants
National Institutes of Health
Agency Contact
NIH OER Webmaster FBOWebmaster@OD.NIH.GOV
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What to do next
From Genomic Association to Causation: A Conv… is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 93.242 may publish future NOFOs under the same assistance listing. Open program
- Mental Health Research Grants indexes 185 Grants.gov listings in this extract. Program profile
- National Institutes of Health lists 12,419 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |