ancient DNA for Modern Genomics (aDMG) Coordination Center
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The National Human Genome Research Institute is planning to issue a Notice of Funding Opportunity under the U24 activity code to establish an ancient DNA for Modern Genomics program. This initiative aims to create an ethical resource of ancient and historical human DNA data to further the study of contemporary human biology and traits. The program will be managed by a Coordinating Center responsible for identifying DNA sources and overseeing activities in collaboration with researchers and local communities. While applications are not currently being accepted, this forecast is intended to give potential applicants time to form collaborations. The agency is seeking investigators with expertise in population genomics, DNA sequencing technology, computational data science, and human evolution. This opportunity is managed by the National Institutes of Health within the Department of Health and Human Services.
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Full Description
The National Human Genome Research Institute (NHGRI) intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications to establish an ancient DNA for Modern Genomics (aDMG) program. The goal of aDMG is to establish an ethical resource of ancient and historical human DNA (aDNA) data to advance studies about contemporary human traits and biology. The Coordinating Center would work with researchers and local communities to identify existing and new sources of aDNA and provide oversight and coordination of program activities across all components. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the U24 activity code. Investigators with expertise and insights into this area of ancient DNA and population genomics are encouraged to begin to consider applying for this new NOFO. In addition, collaborative investigations combining expertise in DNA sequencing methods and technology, computational genomics and data science, human evolution, and ancient human populations will be encouraged and these investigators should also begin considering applying for this application.
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