Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.

ABSTRACT:

Objective

Genome-wide association studies (GWAS) require high specificity and large numbers of subjects to identify genotype-phenotype correlations accurately. The aim of this study was to identify type 2 diabetes (T2D) cases and controls for a GWAS, using data captured through routine clinical care across five institutions using different electronic medical record (EMR) systems.

Materials and methods

An algorithm was developed to identify T2D cases and controls based on a combination of diagnoses, medications, and laboratory results. The performance of the algorithm was validated at three of the five participating institutions compared against clinician review. A GWAS was subsequently performed using cases and controls identified by the algorithm, with samples pooled across

SUBMITTER: Kho AN 

PROVIDER: S-EPMC3277617 | biostudies-literature | 2012 Mar-Apr

REPOSITORIES: biostudies-literature