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

Academic Article
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Overview

authors

  • Gottesman, O.
  • Kuivaniemi, H.
  • Tromp, G.
  • Faucett, W. A.
  • Li, R.
  • Manolio, T. A.
  • Sanderson, S. C.
  • Kannry, J.
  • Zinberg, R.
  • Basford, M. A.
  • Brilliant, M.
  • Carey, D. J.
  • Chisholm, R. L.
  • Chute, C. G.
  • Connolly, J. J.
  • Crosslin, D.
  • Denny, J. C.
  • Gallego, C. J.
  • Haines, J. L.
  • Hakonarson, H.
  • Harley, J.
  • Jarvik, G. P.
  • Kohane, I.
  • Kullo, I. J.
  • Larson, E. B.
  • McCarty, C.
  • Ritchie, M. D.
  • Roden, D. M.
  • Smith, M. E.
  • Bottinger, E. P.
  • Williams, M. S.
  • eMERGE Network
  • Steinhubl, Steven

publication date

  • October 2013

journal

  • Genetics in Medicine  Journal

abstract

  • 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.

subject areas

  • Electronic Health Records
  • Genetic Research
  • Genome-Wide Association Study
  • Genomics
  • Genotype
  • Humans
  • National Human Genome Research Institute (U.S.)
  • Phenotype
  • Precision Medicine
  • United States
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Research

keywords

  • collaborative research
  • electronic medical records
  • genetics and genomics
  • genome-wide association studies
  • personalized medicine
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Identity

PubMed Central ID

  • PMC3795928

International Standard Serial Number (ISSN)

  • 1098-3600

Digital Object Identifier (DOI)

  • 10.1038/gim.2013.72

PubMed ID

  • 23743551
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Additional Document Info

start page

  • 761

end page

  • 771

volume

  • 15

issue

  • 10

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