Evidence map›Paper›PMID 24786321›Full record

ArticleScience translational medicine2014

Biobanks and electronic medical records: enabling cost-effective research.

Erica Bowton, Julie R Field, Sunny Wang, Jonathan S Schildcrout, Sara L Van Driest, Jessica T Delaney, James Cowan, Peter Weeke, Jonathan D Mosley, Quinn S Wells and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Science translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05277116 (The Electronic Medical Records and GEnomics), which is not on this map. Cited by 98 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05277116 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

The Electronic Medical Records and GEnomics (eMERGE) Network Genomic Risk Assessment

TypeinterventionalSponsorVanderbilt University Medical CenterRan2022 to 2030Enrolled26,877ConditionsGenetic DiseaseArmsGenome Informed Risk Assessment (GIRA) report
3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A systematic literature review of machine learning in online personal health data.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Pharmacogenetics: Opportunities for theAnnual review of pharmacology and toxicology · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Erica BowtonInstitute for Clinical and Translational Research, School of Medicine, Vanderbilt University, Nashville, TN 37232, USA.
Julie R Field
Sunny Wang
Jonathan S Schildcrout
Sara L Van Driest
Jessica T Delaney
James Cowan
Peter Weeke
Jonathan D Mosley
Quinn S Wells
Jason H Karnes
Christian Shaffer
Josh F Peterson
Joshua C Denny
Dan M Roden
Jill M Pulley

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
CLINICAL PHARMACOLOGY TRAINING PROGRAMT32GM007569 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Bjorn C Knollmann · 1985 to 2026
$12.4M
Novel Integrated Analyses of Human Diabetic NephropathyR24DK103067 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CAPRIOLI, RICHARD M, DENNY, JOSHUA C. · 2014 to 2018
$6.5M
VESPA: Vanderbilt Electronic Systems for Pharmacogenomic AssessmentRC2GM092618 · NIGMS · VANDERBILT UNIVERSITY · PI DENNY, JOSHUA C., RODEN, DAN M · 2009 to 2010
$6.4M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
American Heart Association-American Stroke Association 16FTF30130005NCATS NIH HHS UL1 TR000445NHGRI NIH HHS U01 HG006378NIDDK NIH HHS R24 DK103067NIGMS NIH HHS RC2 GM092618NIGMS NIH HHS T32 GM007569
6 · The paper itself

Abstract

The use of electronic medical record data linked to biological specimens in health care settings is expected to enable cost-effective and rapid genomic analyses. Here, we present a model that highlights potential advantages for genomic discovery and describe the operational infrastructure that facilitated multiple simultaneous discovery efforts.

Indexed as

Biological Specimen BanksBiomedical ResearchElectronic Health RecordsHumansMedical Records Systems, Computerized

Identifiers

PMID24786321
PMCPMC4226414

What OpenQuestion holds

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Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.