Developing novel theory and methods for understanding the genetic architecture of complex human traits (R21 Clinical Trial Not Allowed)
ID: 350333Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Award Range

$0 - $275K

Eligible Applicants

Others

Funding Category

Health

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/350333

Additional Information

http://grants.nih.gov/grants/guide/pa-files/PAR-23-301.html
Timeline
    Description

    The National Institutes of Health (NIH) is offering a funding opportunity aimed at developing innovative theories and methods to understand the genetic architecture of complex human traits through the R21 grant mechanism, which excludes clinical trials. This initiative encourages interdisciplinary research that integrates genetic, environmental, and behavioral data to explore health-related traits, with a particular focus on population-scale genetic cohorts and advanced computational techniques. The total funding available is up to $275,000 over two years, with applications due starting January 16, 2024, and continuing through 2027. Interested applicants can find more information and guidelines at the NIH grants website or contact NIH Grants Information at grantsinfo@nih.gov for further inquiries.

    Point(s) of Contact
    grantsinfo@nih.gov
    Files
    Title
    Posted
    PAR-23-301-Full-Announcement.html
    PAR-23-301.html
    The Department of Health and Human Services is issuing a funding opportunity through the National Institutes of Health (NIH) aimed at developing innovative theories and methods to better understand the genetic architecture of complex human traits. This NOFO (PAR-23-301) specifically invites applications for exploratory and developmental research (R21 grants), excluding clinical trials. It focuses on interdisciplinary approaches that weave together genetic, environmental, and behavioral data to unravel the complexities of human traits related to health and disease. Key aspects of the proposal include the emphasis on population-scale genetic cohorts and advanced computational techniques to analyze traits across diverse populations. Eligible applicants are encouraged to adopt systems epidemiology modeling, particularly regarding cancer risk factors. Funding includes a combined budget of up to $275,000 over two years, with a limit of $200,000 per year. Applications must conform to specific guidelines and are evaluated based on innovation, significance, and overall approach. The submission timeline starts on January 16, 2024, with deadlines for various application types leading up to 2027. The initiative represents a significant federal investment to advance genetics research, thereby enhancing understanding of disease susceptibility and promoting equitable health outcomes.
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