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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
Research Funding
The GREGoR (formerly the Mendelian Genomics Research Consortium) is aimed at significantly increasing the proportion of Mendelian disorders with an identified genetic cause through enhanced data sharing, collaboration and an increased focus on the application of new technologies, sequencing strategies and analytical approaches.
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
NHGRI is hosting a workshop - Identifying Research Priorities to Accelerate genetic Diagnosis - on April 16-17, 2024.
Office of Genomic Data Science
NHGRI is committed to increasing the availability of educational and research opportunities in computational genomics and data science (CGDS).
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.