Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study
Journal of the American Medical Informatics AssociationPublished 20 November 2011Open access
Abel Kho, M. Geoffrey Hayes, Laura J. Rasmussen‐Torvik, Jennifer A. Pacheco, William K. Thompson, Loren L. Armstrong
Citations309
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TL;DR
An algorithm using commonly available data from five different EMR data collected through routine clinical care can accurately identify type 2 diabetes cases and controls for genetic study across multiple institutions.
Abstract
An algorithm using commonly available data from five different EMR can accurately identify T2D cases and controls for genetic study across multiple institutions.
Keywords
MedicineBiochemistry, Genetics and Molecular Biology
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