Biobanks and Electronic Medical Records: Enabling Cost-Effective Research

Erica Bowton(Vanderbilt University), Julie R. Field(Vanderbilt University), Sunny Wang(Vanderbilt University), Jonathan S. Schildcrout(Vanderbilt University), Sara L. Van Driest(Vanderbilt University), Jessica Delaney(Vanderbilt University), James D. Cowan(Vanderbilt University), Peter Weeke(Vanderbilt University), Jonathan D. Mosley(Vanderbilt University), Quinn S. Wells(Vanderbilt University), Jason H. Karnes(Vanderbilt University), Christian M. Shaffer(Vanderbilt University), Josh F. Peterson(Vanderbilt University), Joshua C. Denny(Vanderbilt University), Dan M. Roden(Vanderbilt University), Jill M. Pulley(Vanderbilt University Medical Center)
Science Translational Medicine
April 30, 2014
Cited by 140Open Access
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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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