0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Join our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSulfonylureas, a commonly used class of medication used to treat type 2 diabetes, have been associated with an increased risk of cardiovascular disease. Their effects on QT interval duration and related electrocardiographic phenotypes are potential mechanisms for this adverse effect. In 11 ethnically diverse cohorts that included 71 857 European, African-American and Hispanic/Latino ancestry individuals with repeated measures of medication use and electrocardiogram (ECG) measurements, we conducted a pharmacogenomic genome-wide association study of sulfonylurea use and three ECG phenotypes: QT, JT and QRS intervals. In ancestry-specific meta-analyses, eight novel pharmacogenomic loci met the threshold for genome-wide significance (P<5 × 10−8), and a pharmacokinetic variant in CYP2C9 (rs1057910) that has been associated with sulfonylurea-related treatment effects and other adverse drug reactions in previous studies was replicated. Additional research is needed to replicate the novel findings and to understand their biological basis.
James S. Floyd, Colleen M. Sitlani, Christy L. Avery, Raymond Noordam, Xiaohui Li, Albert V. Smith, Stephanie M. Gogarten, Jason Li, Linda Broer, Daniel S. Evans, Stella Trompet, Jennifer A. Brody, James D. Stewart, John D. Eicher, A A Seyerle, Jeffrey Roach, Leslie A. Lange, Henry J. Lin, Jan A. Kors, Tamara B. Harris, Ruifang Li‐Gao, Naveed Sattar, Steven R. Cummings, Kerri L. Wiggins, Melanie Napier, Til Stürmer, Joshua C. Bis, Kathleen F. Kerr, André G. Uitterlinden, Kent D. Taylor, David J. Stott, Renée de Mutsert, Lenore J. Launer, Evan L. Busch, Raúl Méndez-Giráldez, N Sotoodehnia, Elsayed Z. Soliman, Y Li, Qing Duan, Frits R. Rosendaal, P. Eline Slagboom, Kirk C. Wilhelmsen, Alex P. Reiner, Y-Di Chen, Susan R. Heckbert, R.C. Kaplan, Kenneth Rice, J. Wouter Jukema, Andrew D. Johnson, Yi Liu, Dennis O. Mook‐Kanamori, Vilmundur Guðnason, James G. Wilson, Jerome I. Rotter, Cathy C. Laurie, Bruce M. Psaty, Eric A. Whitsel, L. Adrienne Cupples, Bruno H. Stricker (2016). Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. The Pharmacogenomics Journal, 18(1), pp. 127-135, DOI: 10.1038/tpj.2016.90.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2016
Authors
59
Datasets
0
Total Files
0
Language
English
Journal
The Pharmacogenomics Journal
DOI
10.1038/tpj.2016.90
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free AccessYes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
.jpg){kind=avatar}
