- Seyerle, AA;
- Sitlani, CM;
- Noordam, R;
- Gogarten, SM;
- Li, J;
- Li, X;
- Evans, DS;
- Sun, F;
- Laaksonen, MA;
- Isaacs, A;
- Kristiansson, K;
- Highland, HM;
- Stewart, JD;
- Harris, TB;
- Trompet, S;
- Bis, JC;
- Peloso, GM;
- Brody, JA;
- Broer, L;
- Busch, EL;
- Duan, Q;
- Stilp, AM;
- O'Donnell, CJ;
- Macfarlane, PW;
- Floyd, JS;
- Kors, JA;
- Lin, HJ;
- Li-Gao, R;
- Sofer, T;
- Méndez-Giráldez, R;
- Cummings, SR;
- Heckbert, SR;
- Hofman, A;
- Ford, I;
- Li, Y;
- Launer, LJ;
- Porthan, K;
- Newton-Cheh, C;
- Napier, MD;
- Kerr, KF;
- Reiner, AP;
- Rice, KM;
- Roach, J;
- Buckley, BM;
- Soliman, EZ;
- de Mutsert, R;
- Sotoodehnia, N;
- Uitterlinden, AG;
- North, KE;
- Lee, CR;
- Gudnason, V;
- Stürmer, T;
- Rosendaal, FR;
- Taylor, KD;
- Wiggins, KL;
- Wilson, JG;
- Chen, Y-DI;
- Kaplan, RC;
- Wilhelmsen, K;
- Cupples, LA;
- Salomaa, V;
- van Duijn, C;
- Jukema, JW;
- Liu, Y;
- Mook-Kanamori, DO;
- Lange, LA;
- Vasan, RS;
- Smith, AV;
- Stricker, BH;
- Laurie, CC;
- Rotter, JI;
- Whitsel, EA;
- Psaty, BM;
- Avery, CL
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.