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Article

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 Association : JAMIA - 1 Jan 2012

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 excerpt

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...

Topics

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Algorithms
Case-Control Studies
Diabetes Mellitus, Type 2
Electronic Health Records

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Genetic Associations and Epidemiology

Genetic Predisposition to Disease

Genome-Wide Association Study

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Open in PubMed Open full text

Identifiers

PMID: 22101970
DOI: 10.1136/amiajnl-2011-000439
PMCID: PMC3277617

Genes

TCF7L2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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