학술논문
Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data
Document Type
Report
Author
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.
Source
Nature Biotechnology. December 1, 2013, Vol. 31 Issue 12, p1102, 12 p.
Subject
Language
English
ISSN
1087-0156
Abstract
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 [...]