Developing novel theory and methods for understanding the genetic architecture of complex human traits (R01 Clinical Trial Not Allowed) | PAR 23 302

Opportunity Information: Apply for PAR 23 302

The National Institutes of Health (NIH) is soliciting R01 grant applications under Funding Opportunity Number PAR-23-302, titled "Developing novel theory and methods for understanding the genetic architecture of complex human traits (R01 Clinical Trial Not Allowed)." This opportunity supports discretionary research grants in the health area (CFDA 93.172) and is focused on advancing the underlying theory and methodological toolkit used to explain why complex human traits vary across individuals, families, and populations. The central aim is not to run clinical trials, but to develop and rigorously test new conceptual and analytical approaches that can better separate and jointly model genetic influences alongside non-genetic contributors such as environments, social conditions, and broader ecological contexts.

A key emphasis of the announcement is on “genetic architecture,” meaning the structure of genetic contributions to traits that do not follow simple single-gene inheritance. The NIH is looking for work that can clarify how many genetic variants may be involved, how large or small their effects are, how they interact with each other, and how their effects might differ across populations or family structures. At the same time, the NOFO explicitly pushes applicants to treat non-genetic factors as first-class components of trait variation rather than background noise. Competitive applications are expected to address how genes and environments combine, correlate, or interact, and how social and ecological conditions can shape observed patterns in data, including patterns that might otherwise be misattributed to genetics.

The opportunity is also clearly positioned as interdisciplinary. NIH is encouraging proposals that bridge the natural sciences and social sciences and that recognize interdependencies across multiple scales of organization. In practice, this means methods that can connect biological processes with family-level dynamics, neighborhood or community contexts, and population-level structure. The announcement highlights the need to account for dependencies across these scales, which can include shared environments within households, assortative mating and relatedness structures, population stratification, culturally patterned exposures, and other multi-level processes that complicate straightforward interpretation of genetic association signals. The intention is to fund work that improves causal reasoning and interpretability, not just predictive accuracy, when analyzing complex trait data.

Methodologically, the NOFO stresses theory development, simulation, and validation using existing large-scale datasets. Applicants are expected to ground new methods in clear theoretical frameworks, demonstrate performance under realistic simulated scenarios, and then validate or benchmark the methods using available large datasets, such as biobanks, longitudinal cohorts, or other large genomic and phenotypic resources. The focus on simulations and validation signals that NIH wants more than conceptual proposals; it wants tools that can be stress-tested against known ground truth in simulations and shown to be useful and reliable in real-world datasets. This can include developing new statistical models, computational frameworks, study designs, or inferential strategies that improve robustness to confounding, measurement error, selection bias, and other common issues in human genetic research.

In terms of eligibility, the program is open to a broad range of applicant organizations. Standard eligible applicants include various levels of government (state, county, city/township, and special district governments), independent school districts, public and state-controlled institutions of higher education, private institutions of higher education, federally recognized Native American tribal governments, public housing authorities/Indian housing authorities, nonprofits with or without 501(c)(3) status (excluding higher education institutions in those nonprofit categories), for-profit organizations other than small businesses, small businesses, and other organizations that meet NIH requirements. The announcement also explicitly notes additional eligible applicant types, including Alaska Native and Native Hawaiian Serving Institutions; Asian American, Native American, and Pacific Islander Serving Institutions (AANAPISIs); Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Tribally Controlled Colleges and Universities (TCCUs); tribal governments that are not federally recognized; faith-based or community-based organizations; eligible federal agencies; regional organizations; non-U.S. entities (foreign organizations); and U.S. territories or possessions. This wide eligibility scope is consistent with NIH goals of encouraging broad participation and enabling method development efforts that may arise from diverse research settings.

Administratively, the opportunity was created on September 26, 2023, and lists an original closing date of January 7, 2027. The instrument is an R01 research project grant, which typically supports multi-year, investigator-initiated projects of substantial scope. While the source text does not specify an award ceiling or the expected number of awards, the emphasis is clearly on supporting strong, well-justified, and technically rigorous methods development efforts that can meaningfully improve how the field understands and models complex trait variation. Overall, this NOFO is best suited for research teams proposing new theory, statistical/computational methods, and validation strategies that integrate genetic data with environmental and social information, explicitly confront multi-level dependencies, and deliver approaches that can be applied to the growing universe of large-scale human datasets.

• The National Institutes of Health in the health sector is offering a public funding opportunity titled "Developing novel theory and methods for understanding the genetic architecture of complex human traits (R01 Clinical Trial Not Allowed)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172.
• This funding opportunity was created on 2023-09-26.
• Applicants must submit their applications by 2027-01-07.
• Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.

Apply for PAR 23 302

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