The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies
Open accessAbstract
INTRODUCTION: The eMERGE (electronic MEdical Records and GEnomics) Network is an NHGRI-supported consortium of five institutions to explore the utility of DNA repositories coupled to Electronic Medical Record (EMR) systems for advancing discovery in genome science. eMERGE also includes a special emphasis on the ethical, legal and social issues related to these endeavors. ORGANIZATION: The five sites are supported by an Administrative Coordinating Center. Setting of network goals is initiated by working groups: (1) Genomics, (2) Informatics, and (3) Consent & Community Consultation, which also includes active participation by investigators outside the eMERGE funded sites, and (4) Return of Results Oversight Committee. The Steering Committee, comprised of site PIs and representatives and NHGRI staff, meet three times per year, once per year with the External Scientific Panel. CURRENT PROGRESS: The primary site-specific phenotypes for which samples have undergone genome-wide association study (GWAS) genotyping are cataract and HDL, dementia, electrocardiographic QRS duration, peripheral arterial disease, and type 2 diabetes. A GWAS is also being undertaken for resistant hypertension in ≈ 2,000 additional samples identified across the network sites, to be added to data available for samples already genotyped. Funded by ARRA supplements, secondary phenotypes have been added at all sites to leverage the genotyping data, and hypothyroidism is being analyzed as a cross-network phenotype. Results are being posted in dbGaP. Other key eMERGE activities include evaluation of the issues associated with cross-site deployment of common algorithms to identify cases and controls in EMRs, data privacy of genomic and clinically-derived data, developing approaches for large-scale meta-analysis of GWAS data across five sites, and a community consultation and consent initiative at each site. FUTURE ACTIVITIES: Plans are underway to expand the network in diversity of populations and incorporation of GWAS findings into clinical care. SUMMARY: By combining advanced clinical informatics, genome science, and community consultation, eMERGE represents a first step in the development of data-driven approaches to incorporate genomic information into routine healthcare delivery.
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.
Integrity signals
Registry
Cites
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.
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
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
The American Journal of Human Genetics
S., J. (1950) · Population (French Edition) · doi:10.2307/1523704 · Cited by 5,028
Writing Group Members, Rosamond, W., Flegal, K., Furie, K., Go, A., Greenlund, K., Haase, N., Hailpern, S. M., Ho, M., Howard, V., et al. (2008) · Circulation · doi:10.1161/circulationaha.107.187998 · Cited by 3,711
Peripheral Arterial Disease Detection, Awareness, and Treatment in Primary Care
Hirsch, A. T. (2001) · JAMA · doi:10.1001/jama.286.11.1317 · Cited by 2,835
A vision for the future of genomics research
Collins, F. S., Green, E. D., Guttmacher, A. E., Guyer, M. S., & on behalf of the US National Human Genome Research Institute (2003) · Nature · doi:10.1038/nature01626 · Cited by 1,752
Larson, E. B., Wang, L., Bowen, J. D., McCormick, W. C., Teri, L., Crane, P., & Kukull, W. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-2-200601170-00004 · Cited by 1,463
Self-citationPheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
Denny, J. C., Ritchie, M. D., Basford, M. A., Pulley, J. M., Bastarache, L., Brown-Gentry, K., Wang, D., Masys, D. R., Roden, D. M., & Crawford, D. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq126 · Cited by 1,219
Self-citationThe NCBI dbGaP database of genotypes and phenotypes
Mailman, M. D., Feolo, M., Jin, Y., Kimura, M., Tryka, K., Bagoutdinov, R., Hao, L., Kiang, A., Paschall, J., Phan, L., et al. (2007) · Nature Genetics · doi:10.1038/ng1007-1181 · Cited by 1,105
Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine
Roden, D., Pulley, J., Basford, M., Bernard, G., Clayton, E., Balser, Jr., & Masys, D. (2008) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2008.89 · Cited by 983
Self-citationTeng, E. L., Hasegawa, K., Homma, A., Imai, Y., Larson, E., Graves, A., Sugimoto, K., Yamaguchi, T., Sasaki, H., Chiu, D., et al. (1994) · International Psychogeriatrics · doi:10.1017/s1041610294001602 · Cited by 926
Self-citation
Cited by
Mining electronic health records: towards better research applications and clinical care
Jensen, P. B., Jensen, L. J., & Brunak, S. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3208 · Cited by 1,680
Next-generation phenotyping of electronic health records
Hripcsak, G., & Albers, D. J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001145 · Cited by 795
Algorithmic fairness in artificial intelligence for medicine and healthcare
Chen, R. J., Wang, J. J., Williamson, D. F. K., Chen, T. Y., Lipkova, J., Lu, M. Y., Sahai, S., & Mahmood, F. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01056-8 · Cited by 750
The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future
Gottesman, O., Kuivaniemi, H., Tromp, G., Faucett, W. A., Li, R., Manolio, T. A., Sanderson, S. C., Kannry, J., Zinberg, R., Basford, M. A., et al. (2013) · Genetics in Medicine · doi:10.1038/gim.2013.72 · Cited by 698
Self-citationUsing electronic health records for population health research: a review of methods and applications
Casey, J. A., Schwartz, B. S., Stewart, W. F., & Adler, N. E. (2016) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032315-021353 · Cited by 590
Metadata
- Authors
- the eMERGE Team, McCarty, C. A., Chisholm, R. L., Chute, C. G., Kullo, I. J., Jarvik, G. P., Larson, E. B., Li, R., Masys, D. R., Ritchie, M. D., Roden, D. M., Struewing, J. P., & Wolf, W. A.
- Venue
- BMC Medical Genomics
- Published
- 2011-01-26
- Volume
- 4
- Issue
- 1
- Pages
- 13-13
- ISSN
- 1755-8794 (ISSN-L)
- OpenAlex
- W2064337796
- Cited by
- 699
- References
- 25
- FWCI
- 41.66
- Type
- journal article
- Language
- en
- Open access
- gold
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 eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies. https://app.cochat.ai/papers/10.1186/1755-8794-4-13
- The paper
- the eMERGE Team, McCarty, C. A., Chisholm, R. L., Chute, C. G., Kullo, I. J., Jarvik, G. P., Larson, E. B., Li, R., Masys, D. R., Ritchie, M. D., Roden, D. M., Struewing, J. P., & Wolf, W. A. (2011). The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies. BMC Medical Genomics. https://doi.org/10.1186/1755-8794-4-13
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.