Title |
eMERGEing progress in genomics—the first seven years
|
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Published in |
Frontiers in Genetics, June 2014
|
DOI | 10.3389/fgene.2014.00184 |
Pubmed ID | |
Authors |
Dana C. Crawford, David R. Crosslin, Gerard Tromp, Iftikhar J. Kullo, Helena Kuivaniemi, M. Geoffrey Hayes, Joshua C. Denny, William S. Bush, Jonathan L. Haines, Dan M. Roden, Catherine A. McCarty, Gail P. Jarvik, Marylyn D. Ritchie |
Abstract |
The electronic MEdical Records & GEnomics (eMERGE) network was established in 2007 by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH) in part to explore the utility of electronic medical records (EMRs) in genome science. The initial focus was on discovery primarily using the genome-wide association paradigm, but more recently, the network has begun evaluating mechanisms to implement new genomic information coupled to clinical decision support into EMRs. Herein, we describe this evolution including the development of the individual and merged eMERGE genomic datasets, the contribution the network has made toward genomic discovery and human health, and the steps taken toward the next generation genotype-phenotype association studies and clinical implementation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 43% |
Switzerland | 1 | 7% |
France | 1 | 7% |
Denmark | 1 | 7% |
Korea, Republic of | 1 | 7% |
Italy | 1 | 7% |
India | 1 | 7% |
Unknown | 2 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 50% |
Scientists | 6 | 43% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 6% |
Canada | 1 | 1% |
Netherlands | 1 | 1% |
Denmark | 1 | 1% |
Mexico | 1 | 1% |
Unknown | 63 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 24% |
Student > Ph. D. Student | 13 | 18% |
Student > Master | 8 | 11% |
Professor > Associate Professor | 6 | 8% |
Professor | 5 | 7% |
Other | 13 | 18% |
Unknown | 9 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 28% |
Medicine and Dentistry | 16 | 23% |
Biochemistry, Genetics and Molecular Biology | 10 | 14% |
Computer Science | 8 | 11% |
Neuroscience | 2 | 3% |
Other | 4 | 6% |
Unknown | 11 | 15% |