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

Authors :
Seyerle, A A
Sitlani, C M
Noordam, R
Gogarten, S M
Li, J
Li, X
Evans, D S
Sun, F
Laaksonen, M A
Isaacs, A
Kristiansson, K
Highland, H M
Stewart, J D
Harris, T B
Trompet, S
Bis, J C
Peloso, G M
Brody, J A
Broer, L
Busch, E L
Duan, Q
Stilp, A M
O'Donnell, C J
Macfarlane, P W
Floyd, J S
Kors, J A
Lin, H J
Li-Gao, R
Sofer, T
Méndez-Giráldez, R
Cummings, S R
Heckbert, S R
Hofman, A
Ford, I
Li, Y
Launer, L J
Porthan, K
Newton-Cheh, C
Napier, M D
Kerr, K F
Reiner, A P
Rice, K M
Roach, J
Buckley, B M
Soliman, E Z
de Mutsert, R
Sotoodehnia, N
Uitterlinden, A G
North, K E
Lee, C R
Gudnason, V
Stürmer, T
Rosendaal, F R
Taylor, K D
Wiggins, K L
Wilson, J G
Chen, Y-DI
Kaplan, R C
Wilhelmsen, K
Cupples, L A
Salomaa, V
van Duijn, C
Jukema, J W
Liu, Y
Mook-Kanamori, D O
Lange, L A
Vasan, R S
Smith, A V
Stricker, B H
Laurie, C C
Rotter, J I
Whitsel, E A
Psaty, B M
Avery, C L
Source :
The Pharmacogenomics Journal; April 2018, Vol. 18 Issue: 2 p215-226, 12p
Publication Year :
2018

Abstract

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.

Details

Language :
English
ISSN :
1470269X and 14731150
Volume :
18
Issue :
2
Database :
Supplemental Index
Journal :
The Pharmacogenomics Journal
Publication Type :
Periodical
Accession number :
ejs45466048
Full Text :
https://doi.org/10.1038/tpj.2017.10