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- Title
Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.
- Authors
Kho, Abel N; Hayes, M Geoffrey; Rasmussen-Torvik, Laura; Pacheco, Jennifer A; Thompson, William K; Armstrong, Loren L; Denny, Joshua C; Peissig, Peggy L; Miller, Aaron W; Wei, Wei-Qi; Bielinski, Suzette J; Chute, Christopher G; Leibson, Cynthia L; Jarvik, Gail P; Crosslin, David R; Carlson, Christopher S; Newton, Katherine M; Wolf, Wendy A; Chisholm, Rex L; Lowe, William L
- Abstract
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.
- Publication
Journal of the American Medical Informatics Association : JAMIA, 2012, Vol 19, Issue 2, p212
- ISSN
1527-974X
- Publication type
Journal Article
- DOI
10.1136/amiajnl-2011-000439