Ontology highlight
ABSTRACT:
SUBMITTER: Bush WS
PROVIDER: S-EPMC5010878 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature
Bush W S WS Crosslin D R DR Owusu-Obeng A A Wallace J J Almoguera B B Basford M A MA Bielinski S J SJ Carrell D S DS Connolly J J JJ Crawford D D Doheny K F KF Gallego C J CJ Gordon A S AS Keating B B Kirby J J Kitchner T T Manzi S S Mejia A R AR Pan V V Perry C L CL Peterson J F JF Prows C A CA Ralston J J Scott S A SA Scrol A A Smith M M Stallings S C SC Veldhuizen T T Wolf W W Volpi S S Wiley K K Li R R Manolio T T Bottinger E E Brilliant M H MH Carey D D Chisholm R L RL Chute C G CG Haines J L JL Hakonarson H H Harley J B JB Holm I A IA Kullo I J IJ Jarvik G P GP Larson E B EB McCarty C A CA Williams M S MS Denny J C JC Rasmussen-Torvik L J LJ Roden D M DM Ritchie M D MD
Clinical pharmacology and therapeutics 20160601 2
Genetic variation can affect drug response in multiple ways, although it remains unclear how rare genetic variants affect drug response. The electronic Medical Records and Genomics (eMERGE) Network, collaborating with the Pharmacogenomics Research Network, began eMERGE-PGx, a targeted sequencing study to assess genetic variation in 82 pharmacogenes critical for implementation of "precision medicine." The February 2015 eMERGE-PGx data release includes sequence-derived data from ∼5,000 clinical su ...[more]