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- Developmental Genotype-Tissue Expression (dGTEx)1
- Multi-Omics for Health and Disease (Multi-Omics)1
- Ethical, Legal and Social Implications (ELSI) Research Program7
- Genomics-Enabled Learning Health Systems (gLHS)2
- Genetic Architecture of Complex Traits1
- Genome Technology Program5
- Enhancing Opportunities in Computational Genomics and Data Science1
- Human Genome Reference Program (HGRP)3
- Impact of Genomic Variation on Function (IGVF) Consortium3
- Advancing Genomic Medicine Research (AGMR)1
- Encyclopedia of DNA Elements (ENCODE) Project1
- Molecular Phenotypes of Null Alleles in Cells (MorPhiC)1
- Clinical Genome (ClinGen) Resource1
- Genomic Innovator Awards2
- Polygenic RIsk MEthods in Diverse populations (PRIMED) Consortium1
- NHGRI Genomic Data Science Analysis, Visualization and Informatics Lab-space (AnVIL)2
- Genomics Research to Elucidate the Genetics of Rare Diseases (GREGOR) Consortium2
Event
NHGRI will hold a workshop in September 2019 focused on Genomics in Medicine and Health.
Event
NHGRI workshop seeking scientific perspectives for relating genomic variation to human phenotype.
Policies and Guidance
For FY2024, NHGRI’s extramural program will be operating under the NHGRI 2020 Strategic Vision.
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.
Event
The NHGRI Education and Community Involvement Branch is co-hosting a webinar on January 9 with the Undergraduate Genetics Education Network that will explore the changing landscape of genetics from a largely descriptive field and emerging creative fields.
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.