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

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 car...

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Main 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
Formato: Artigo
Idioma:Inglês
Publicado: BMJ Group 2011
Assuntos:
Research and Applications
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3277617/
https://ncbi.nlm.nih.gov/pubmed/22101970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000439
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