Multi-Omics for Health and Disease - Data Analysis and Coordination Center (U01 Clinical Trial Not Allowed)

Award Amount
$950,000.00
Maximum Amount
$950,000.00
Assistance Type
Funding Source
Implementing Entity
Due Date
Where the Opportunity is Offered
All of California
Additional Eligibility Information
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
Contact
NIH Grants Information
Description

The goal of this Funding Opportunity Announcement (FOA) is to establish a Data Analysis and Coordination Center (DACC) that will be part of a collaborative initiative to advance the application of multi-omic technologies to study health and disease in diverse populations. Together with the Disease Study Sites (RFA-HG-22-008) and the Omics Production Center(s) (RFA-HG-22-009), the DACC will leverage clinical conditions where multi-omic approaches are expected to be most informative to: 1) explore the use of multi-omics, integrated with phenotypic and environmental exposure data, including social determinants of health (SDOH), to detect and assess molecular profiles associated with healthy and disease states; 2) develop generalizable data harmonization, integration, and analysis methods, as well as best practices and standards for the optimal application of multi-omics; and 3) create a multi-dimensional dataset that is available to the research community. The DACC will be primarily responsible for coordinating Consortium logistics, outreach, and dissemination of findings; for managing and securing Consortium data; for creating the multi-dimensional dataset; and for coordinating and contributing to consortium-wide protocol development, data analysis, and methods development efforts. While this program may provide some insights into disease etiology, its primary goal is to validate and enhance generalizable multi-omic approaches to identify meaningful biological changes related to health and disease.

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