Developing novel theory and methods for understanding the genetic architecture of complex human traits (R01 Clinical Trial Not Allowed)
Last verified by NonDilute: 2026-04-29. Official notice and agency instructions control.
If you've developed novel statistical or computational methods for parsing how genes and environment shape human traits, NIH will fund the theory and validation work—but you must avoid clinical trials.
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What this is
This R01 grant funds interdisciplinary theory and methods research to decode the genetic architecture of complex human traits—conditions influenced by multiple genes and environmental factors. Successful applications combine computational modeling, statistical innovation, and validation against large datasets, drawing from biology, social sciences, and ecology. No clinical trials allowed. Award timeline runs through November 2026.
Who can apply
Very broad: universities, nonprofits (501c3 and non-501c3), small businesses, for-profits, tribal governments, state and local agencies all eligible. No geographic restriction. Clinical trial component explicitly not allowed.
Eligible applicant types
- Native American tribal organizations (other than Federally recognized tribal governments)
- For profit organizations other than small businesses
- Public and State controlled institutions of higher education
- Private institutions of higher education
- Small businesses
- Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
- Others (see text field entitled "Additional Information on Eligibility" for clarification)
- Public housing authorities/Indian housing authorities
- Special district governments
- Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
- State governments
- County governments
- Native American tribal governments (Federally recognized)
- Independent school districts
- City or township governments
Full description — from the agency
The goal of this NOFO is to support applications for novel theory and methods development that enable better understanding of how genetic and non-genetic factors contribute to complex trait variation across individuals, families, and populations. Approaches should be interdisciplinary drawing from the natural and social sciences, account for interdependencies across scales of biological, social, and ecological organization, and make extensive use of theory, modeling, and validation with available large-scale datasets.
Topics: genetic architecture · complex trait modeling · statistical genetics · computational biology · methods development
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