Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 698

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

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

Open access
Gottesman, Omri, Kuivaniemi, Helena, Tromp, Gerard, Faucett, W. Andrew, Li, Rongling, Manolio, Teri A., Sanderson, Saskia C., Kannry, Joseph, Zinberg, Randi, Basford, Melissa A., Brilliant, Murray, Carey, David J., Chisholm, Rex L., Chute, Christopher G., Connolly, John J., Crosslin, David, Denny, Joshua C., Gallego, Carlos J., Haines, Jonathan L., Hakonarson, Hakon, Harley, John, Jarvik, Gail P., Kohane, Isaac, Kullo, Iftikhar J., Larson, Eric B., McCarty, Catherine, Ritchie, Marylyn D., Roden, Dan M., Smith, Maureen E., Böttinger, Erwin P., Williams, Marc S.·2013·Genetics in Medicine
DOI 10.1038/gim.2013.72
Open this paper in CoChat — free account

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/gim.2013.72

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 44 references

Cited by

See all 698

Metadata

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., Böttinger, E. P., & Williams, M. S.
Venue
Genetics in Medicine
Publisher
Elsevier BV
Published
2013-10
Volume
15
Issue
10
Pages
761-771
ISSN
1098-3600 (ISSN-L)
DOI
10.1038/gim.2013.72
OpenAlex
W2027867013
Cited by
698
References
44
FWCI
111.44
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future. https://app.cochat.ai/papers/10.1038/gim.2013.72
The paper
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., . . . Williams, M. S. (2013). The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future. Genetics in Medicine. https://doi.org/10.1038/gim.2013.72

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.