The Electronic Medical Records and Genomics (eMERGE) Network: Past, Present and Future
By Omri Gottesman, H. Kuivaniemi, G. Tromp, A. Faucett, Rongling Li, Teri A. Manolio, Saskia C. Sanderson, J. Kannry, R. Zinberg, Melissa A. Basford and 13 more. Genetics in Medicine, 2013
680 citations recorded by the source corpus.
The Electronic Medical Records and Genomics Network is a National Human Genome Research Institute–funded consortium engaged in the development of methods and best practices for using the electronic medical record as a tool for genomic research. Now in its sixth year and second funding cycle, and comprising nine research groups and a coordinating center, the network has played a major role in validating the concept that clinical data derived from electronic medical records can be used successfully for genomic research. Current work is advancing knowledge in multiple disciplines at the intersection of genomics and health-care informatics, particularly for electronic phenotyping, genome-wide association studies, genomic medicine implementation, and the ethical and regulatory issues associated with genomics research and returning results to study participants. Here, we describe the evolution, accomplishments, opportunities, and challenges of the network from its inception as a five-group consortium focused on genotype–phenotype associations for genomic discovery to its current form as a nine-group consortium pivoting toward the implementation of genomic medicine.Genet Med 15 10, 761–771.Genetics in Medicine (2013); 15 10, 761–771. doi:10.1038/gim.2013.72
Subfields: Genetics, Molecular Biology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/11a92a7821b8752ebd3944569901ec0c83b29c4f
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Citations in the corpus
- From Big Data to Precision Medicine (2019, neutral): “Noteworthy examples include the UK biobank and eMERGE Network (35, 70).”
- Extracting research-quality phenotypes from electronic health records to support precision medicine (2015, methodology): “The primary goal of the eMERGE network is to develop methods and best practices for the utilization of EHRs for genetic research [54,55].”
- AI in Health: State of the Art, Challenges, and Future Directions (2019, background): “Recent years have seen an increase in research and initiatives related to AI in health, integrating different aspects of clinical data [110], linking biorepositories with clinical data [111-113], and forging connections between pharmaceutical research and development with clinical data [84].”
- Precision Medicine, AI, and the Future of Personalized Health Care (2020, background): “42 Genomic considerations in therapy planning: Patients with pharmacogenomically actionable variants may require altered prescribing or dosing Genome-informed prescribing is perhaps one of the first areas to demonstrate the power of precision medicine at scale.”