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Developing novel theory and methods for understanding the genetic architecture of complex human traits (R01 Clinical Trial Not Allowed)

National Institutes of Health · PAR-25-255 · Deadline: November 5, 2026

Program-level history — this opportunity doesn't publish per-opportunity awards, so these numbers describe its parent program (CFDA 93.172, Human Genome Research), not this competition alone. Labeled that way on purpose.

Draw-down reality (program)

Across 185 completed awards in this program (FY2021+ sample, USAspending outlay records), grantees ultimately drew a median 96% of obligated funds. A median well under 100% means underspend or early closure is common here — worth knowing before promising a spend-down timeline.

Listing summary

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.

Eligibility: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities, Native American tribal organizations (other), Nonprofits with 501(c)(3), other than higher education, Nonprofits without 501(c)(3), Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others · Categories: Education, Health · official listing ↗

Sources: NIH RePORTER (opportunity-exact) and USAspending (program-level), labeled per section. GrantsDue computes summaries only; verify anything critical against the originals. Methodology.