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FAQ
Questions and answers to help applicants responding to the Pre-Application Webinar for the Building Partnerships and Broadening Perspectives to Advance ELSI Research (BBAER) Program RFA-HG-24-026.
… Awarded BBAER Sites are expected to implement their needs assessments plan and submit a summary of findings to NHGRI …
FAQ
Questions and answers to help applicants responding to the ML/AI Tools to Advance Genomic Translational Research (MAGen) notice of funding opportunities (NOFOs): RFA-HG-24-004 and RFA-HG-24-005.
… how individuals with pathogenic genetic variants manifest disease—the goal of this NOFO—but applicants should clearly … predicting penetrance relate to how individuals manifest disease and identify genomic and non-genomic factors that … of the NOFO?   Clinical expertise in the proposed disease should be integrated at all stages so the developed …
FAQ
On October 10, 2024, NHGRI hosted a pre-application webinar for the Population Genomic Screening in Primary Care NOFOs: RFA-HG-24-021, RFA-HG-24-022, and RFA-HG-24-023. These FAQs contain questions answered during that webinar.
… selecting for or excluding anyone who might be at risk. Final procedures will be determined by Steering …
Research Funding
The Genomics-enabled Learning Health System (gLHS) Network aims to identify and advance approaches for integrating genomic information into existing learning health systems.
FAQ
Frequently asked questions from the September 23, 2024 pre-application webinar the NHGRI ELSI Program hosted.
Event
On Tuesday, February 6, 2024, the National Human Genome Research Institute hosted an eConsult webinar to provide an overview of three notice of funding opportunities (RFA-HG-24-001, PAR-24-106 and PAR-24-107). Questions were answered during the webinar.
News Release
NIH is awarding $5.4 million in first-year funding to establish a new program that supports the integration of genomics into learning health systems. As genomic testing becomes increasingly common, more and more genomic data are available in clinical settings, and learning health systems present an opportunity to translate this evidence quickly and directly into improvements in medical care.