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Federal Grant · National Institutes of Health

Developing novel theory and methods for understanding the genetic architecture of complex human traits (R21 Clinical Trial Not Allowed)

Last verified by NonDilute: 2026-04-29. Official notice and agency instructions control.

AI/MLBiotech university-researchersmall-teamnon-profit
The pitch

If you're developing computational or theoretical methods to decode how genetics and environment interact to shape human traits, NIH will fund your early-stage exploration on existing data.

Award range
Unspecified
Closes
Jan 7, 2027 · 253d left
Open date
Nov 15, 2024
Difficulty
High
Source
Grants.gov
Agency
National Institutes of Health
Last verified
2026-04-29
Fit language
Possible fit only
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What this is

This NIH funding opportunity supports exploratory research (R21 mechanism) to advance fundamental understanding of genetic architecture in complex human traits—not clinical trials. Applicants must propose innovative theoretical frameworks and methodological approaches that integrate genetic, environmental, and social factors across biological scales. The research should leverage existing large-scale datasets, computational modeling, and cross-disciplinary collaboration. This is ideal for researchers developing new analytical tools, population genetics theory, or multi-omics integration approaches rather than traditional lab-based discovery.

Who can apply

Extremely broad eligibility: universities, nonprofits (501c3 and non-501c3), small businesses, for-profit companies, government agencies, tribal organizations, and school districts can apply. Solo researchers should apply through an eligible institution. No geographic restriction specified.

Eligible applicant types

Full description — from the agency

The goal of this NOFO is to support R21 applications for novel theory and methods development that better delineate how genetic and non-genetic factors contribute to complex trait variation across individuals, families, and populations. Approaches should be interdisciplinary across the natural and social sciences, account for interdependencies across scales of biological, social, and ecological organization, and make extensive use of theory, simulations, and validation using available large-scale datasets

Topics: genetic architecture · complex traits · population genetics · computational biology · systems biology · methodological innovation · large-scale datasets · interdisciplinary research

Public-source funding discovery only. This summary is generated from public agency data and may be incomplete or stale. NonDilute is not affiliated with, endorsed by, or acting on behalf of any government agency. Official notices and agency instructions control. NonDilute does not determine eligibility, provide grant-writing advice, or guarantee funding.