Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

Candidate gene and genome-wide association studies (GWAS) have identified genetic variants that modulate risk for human disease; many of these associations require further study to replicate the results. Here we report the first large-scale application of the phenome-wide association study (PheWAS)...

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Main Authors: Denny, Joshua C, Bastarache, Lisa, Ritchie, Marylyn D, Carroll, Robert J, Zink, Raquel, Mosley, Jonathan D, Field, Julie R, Pulley, Jill M, Ramirez, Andrea H, Bowton, Erica, Basford, Melissa A, Carrell, David S, Peissig, Peggy L, Kho, Abel N, Pacheco, Jennifer A, Rasmussen, Luke V, Crosslin, David R, Crane, Paul K, Pathak, Jyotishman, Bielinski, Suzette J, Pendergrass, Sarah A, Xu, Hua, Hindorff, Lucia A, Li, Rongling, Manolio, Teri A, Chute, Christopher G, Chisholm, Rex L, Larson, Eric B, Jarvik, Gail P, Brilliant, Murray H, McCarty, Catherine A, Kullo, Iftikhar J, Haines, Jonathan L, Crawford, Dana C, Masys, Daniel R, Roden, Dan M
Format: Artigo
Sprog:Inglês
Udgivet: 2013
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3969265/
https://ncbi.nlm.nih.gov/pubmed/24270849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nbt.2749
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