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. 2014 Apr 30;6(234):234cm3.
doi: 10.1126/scitranslmed.3008604.

Biobanks and electronic medical records: enabling cost-effective research

Erica Bowton  1 , 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
Affiliations

Biobanks and electronic medical records: enabling cost-effective research

Erica Bowton et al. Sci Transl Med. .

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.

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Conflict of interest statement

Competing interests: The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1. Time is money
Comparison of traditional NIH-funded pharmacogenomic studies versus EMR/biobank studies (BioVU). (Left) Median cost of study per subject. (Right) Median length of study in years.
See this image and copyright information in PMC

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