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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Bibliografski detalji
Glavni autori: 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
Jezik:Inglês
Izdano: 2013
Teme:
Article
Online pristup: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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