Developing novel theory and methods for understanding the genetic architecture of complex human traits (R21 Clinical Trial Not Allowed)
This funding opportunity supports innovative research that develops new methods to understand the complex interplay of genetic and environmental factors influencing human traits, encouraging interdisciplinary collaboration across various scientific fields.
Description
The National Institutes of Health (NIH) invites applications for innovative theory and methods development to enhance the understanding of how genetic and non-genetic factors contribute to complex human traits. This funding opportunity is particularly suited for interdisciplinary approaches drawing from genetics, evolutionary biology, social sciences, and systems biology. Proposals should emphasize robust modeling, simulations, and empirical validation using large-scale, publicly accessible datasets.
The objective is to foster novel methods that address genetic architecture by integrating diverse biological, social, and ecological influences. Areas of interest include mapping complex interactions between genetic and environmental factors, developing hierarchical models spanning molecular to population scales, and constructing scalable computational methods. Specific focus is placed on rigorous models applicable across diverse populations and environments while ensuring the outputs are generalizable across traits relevant to human health and disease.
Eligibility extends to a wide range of domestic and international entities, including higher education institutions, nonprofits, and for-profit organizations. Non-domestic institutions and foreign components of U.S.-based entities are eligible to apply. Collaborations that integrate expertise from natural and social sciences are strongly encouraged.
Applicants may request up to $275,000 in direct costs over two years, with no more than $200,000 allocated to any single year. Data generation costs must not exceed 20% of the direct budget. Applications should include detailed plans for data management and sharing, with tools and methods made available via version-controlled public repositories. If the methods address socially sensitive traits, a clear plan for minimizing misapplications must be provided.
Applications will be evaluated for scientific merit based on the innovation, rigor, and feasibility of the proposed methods. Special consideration will be given to projects that leverage theory, robust simulations, and interdisciplinary approaches. NIH policies, including those on inclusivity and data sharing, are strictly enforced. Key deadlines for application submission begin February 16, 2025.
Detailed guidance on application preparation and eligibility criteria is provided in the funding announcement. Applicants are encouraged to contact NIH representatives to confirm the responsiveness of their proposed research and ensure compliance with the outlined requirements.