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Merck
  • Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology.

Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology.

The pharmacogenomics journal (2017-07-19)
A A Seyerle, C M Sitlani, R Noordam, S M Gogarten, J Li, X Li, D S Evans, F Sun, M A Laaksonen, A Isaacs, K Kristiansson, H M Highland, J D Stewart, T B Harris, S Trompet, J C Bis, G M Peloso, J A Brody, L Broer, E L Busch, Q Duan, A M Stilp, C J O'Donnell, P W Macfarlane, J S Floyd, J A Kors, H J Lin, R Li-Gao, T Sofer, R Méndez-Giráldez, S R Cummings, S R Heckbert, A Hofman, I Ford, Y Li, L J Launer, K Porthan, C Newton-Cheh, M D Napier, K F Kerr, A P Reiner, K M Rice, J Roach, B M Buckley, E Z Soliman, R de Mutsert, N Sotoodehnia, A G Uitterlinden, K E North, C R Lee, V Gudnason, T Stürmer, F R Rosendaal, K D Taylor, K L Wiggins, J G Wilson, Y-DI Chen, R C Kaplan, K Wilhelmsen, L A Cupples, V Salomaa, C van Duijn, J W Jukema, Y Liu, D O Mook-Kanamori, L A Lange, R S Vasan, A V Smith, B H Stricker, C C Laurie, J I Rotter, E A Whitsel, B M Psaty, C L Avery
摘要

Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 × 10-8), we found suggestive evidence (P<5 × 10-6) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.