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Computational Modeling and Analysis of the Impact of Genomic Variation on Function (UM1, Clinical Trial Not Allowed)

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RFA-HG-27-010Grant

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The National Human Genome Research Institute, under the National Institutes of Health, is soliciting applications for the Computational Modeling and Analysis of the Impact of Genomic Variation on Function initiative. This opportunity, identified by solicitation number RFA-HG-27-010, seeks to establish centers that will develop, apply, and test predictive models and perform integrative analyses to understand how genomic variation affects genome function. Clinical trials are not permitted under this specific funding opportunity. Selected centers will join the Impact of Genomic Variation on Function Consortium, where they will collaborate to ensure resources are accessible to a broad user base. Members are expected to work with other consortium components to optimize experimental design, provide specialized analytical expertise, and execute shared analysis strategies to achieve overall consortium goals. Applications must be submitted by the response deadline of December 15, 2026.

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NHGRI seeks centers for genomic variation predictive modeling and analysis by December 15, 2026.

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AgencyNational Institutes Of Health → National Human Genome Research Institute
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OfficeUSA
Office AddressUSA
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Full Description

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The purpose of this Notice of Funding Opportunity (NOFO) is to solicit applications to develop, apply, and test predictive models and perform integrative analyses to determine the impact of genomic variation on genome function. Centers funded through this initiative will become a part of the Impact of Genomic Variation on Function (IGVF) Consortium. As consortium members, centers will work together to ensure all consortium resources are accessible to a wide variety of potential users. Centers also will collaborate with other consortium components to guide and optimize IGVF experimental design, to provide analytical expertise and support for consortium-wide efforts, and to develop and execute shared analysis strategies to meet consortium goals.

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