The Electronic Medical Records and Genomics (eMERGE) Network: Past, present, and future

Omri Gottesman, Helena Kuivaniemi, Gerard Tromp, W. Andrew Faucett, Rongling Li, Teri A. Manolio, Saskia C. Sanderson, Joseph Kannry, Randi Zinberg, Melissa A. Basford, Murray Brilliant, David J. Carey, Rex L. Chisholm, Christopher G. Chute, John J. Connolly, David Crosslin, Joshua C. Denny, Carlos J. Gallego, Jonathan L. Haines, Hakon HakonarsonJohn Harley, Gail P. Jarvik, Isaac Kohane, Iftikhar J. Kullo, Eric B. Larson, Catherine McCarty, Marylyn D. Ritchie, Dan M. Roden, Maureen E. Smith, Erwin P. Böttinger, Marc S. Williams

Research output: Contribution to journalReview articlepeer-review

511 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)761-771
Number of pages11
JournalGenetics in Medicine
Issue number10
StatePublished - Oct 2013

All Science Journal Classification (ASJC) codes

  • Genetics(clinical)


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