BACKGROUND: Drug-induced long-QT syndrome (diLQTS) is an adverse drug effect that has an important impact on drug use, development, and regulation. We tested the hypothesis that common variants in key genes controlling cardiac electric properties modify the risk of diLQTS. METHODS AND RESULTS: In a case-control setting, we included 176 patients of European descent from North America and Europe with diLQTS, defined as documented torsades de pointes during treatment with a QT-prolonging drug. Control samples were obtained from 207 patients of European ancestry who displayed <50 ms QT lengthening during initiation of therapy with a QT-prolonging drug and 837 control subjects from the population-based KORA study. Subjects were successfully genotyped at 1424 single-nucleotide polymorphisms (SNPs) in 18 candidate genes including 1386 SNPs tagging common haplotype blocks and 38 nonsynonymous ion channel gene SNPs. For validation, we used a set of cases (n=57) and population-based control subjects of European descent. The SNP KCNE1 D85N (rs1805128), known to modulate an important potassium current in the heart, predicted diLQTS with an odds ratio of 9.0 (95% confidence interval, 3.5-22.9). The variant allele was present in 8.6% of cases, 2.9% of drug-exposed control subjects, and 1.8% of population control subjects. In the validation cohort, the variant allele was present in 3.5% of cases and in 1.4% of control subjects. CONCLUSIONS: This high-density candidate SNP approach identified a key potassium channel susceptibility allele that may be associated with the rare adverse drug reaction torsades de pointes.
BACKGROUND:Drug-induced long-QT syndrome (diLQTS) is an adverse drug effect that has an important impact on drug use, development, and regulation. We tested the hypothesis that common variants in key genes controlling cardiac electric properties modify the risk of diLQTS. METHODS AND RESULTS: In a case-control setting, we included 176 patients of European descent from North America and Europe with diLQTS, defined as documented torsades de pointes during treatment with a QT-prolonging drug. Control samples were obtained from 207 patients of European ancestry who displayed <50 ms QT lengthening during initiation of therapy with a QT-prolonging drug and 837 control subjects from the population-based KORA study. Subjects were successfully genotyped at 1424 single-nucleotide polymorphisms (SNPs) in 18 candidate genes including 1386 SNPs tagging common haplotype blocks and 38 nonsynonymous ion channel gene SNPs. For validation, we used a set of cases (n=57) and population-based control subjects of European descent. The SNP KCNE1D85N (rs1805128), known to modulate an important potassium current in the heart, predicted diLQTS with an odds ratio of 9.0 (95% confidence interval, 3.5-22.9). The variant allele was present in 8.6% of cases, 2.9% of drug-exposed control subjects, and 1.8% of population control subjects. In the validation cohort, the variant allele was present in 3.5% of cases and in 1.4% of control subjects. CONCLUSIONS: This high-density candidate SNP approach identified a key potassium channel susceptibility allele that may be associated with the rare adverse drug reaction torsades de pointes.
Authors: W Haverkamp; G Breithardt; A J Camm; M J Janse; M R Rosen; C Antzelevitch; D Escande; M Franz; M Malik; A Moss; R Shah Journal: Eur Heart J Date: 2000-08 Impact factor: 29.983
Authors: Ping Yang; Hideaki Kanki; Benoit Drolet; Tao Yang; Jian Wei; Prakash C Viswanathan; Stefan H Hohnloser; Wataru Shimizu; Peter J Schwartz; Marshall Stanton; Katherine T Murray; Kris Norris; Alfred L George; Dan M Roden Journal: Circulation Date: 2002-04-23 Impact factor: 29.690
Authors: Charlotte van Noord; Miriam C J M Sturkenboom; Sabine M J M Straus; Jacqueline C M Witteman; Bruno H Ch Stricker Journal: Heart Date: 2010-04-20 Impact factor: 5.994
Authors: C Napolitano; P J Schwartz; A M Brown; E Ronchetti; L Bianchi; A Pinnavaia; G Acquaro; S G Priori Journal: J Cardiovasc Electrophysiol Date: 2000-06
Authors: Conor M Lane; John R Giudicessi; Dan Ye; David J Tester; Ram K Rohatgi; J Martijn Bos; Michael J Ackerman Journal: Heart Rhythm Date: 2018-04-03 Impact factor: 6.343
Authors: David G Strauss; Jose Vicente; Lars Johannesen; Ksenia Blinova; Jay W Mason; Peter Weeke; Elijah R Behr; Dan M Roden; Ray Woosley; Gulum Kosova; Michael A Rosenberg; Christopher Newton-Cheh Journal: Circulation Date: 2017-02-17 Impact factor: 29.690