Ontology highlight
ABSTRACT: The goal of this study was to search for genetic variants that could be responsible for modifying the risk of drug-induced long QT syndrome (diLQTS). diLQTS is a relatively common adverse drug event and has been a leading cause for drug relabeling and withdrawal from the market. Our hypothesis, that variants in genes which regulate electrical properties in the heart modify the risk of diLQTS, was tested by genotyping patients of European descent at 1424 single nucleotide polymorphisms (SNPs) in 18 candidate genes. We found that the SNP KCNE1 D85N was highly predictive of diLQTS with an odds ratio of 9.0 (95% confidence interval: 3.5-22.9).
SECONDARY ACCESSION(S): PRJNA201002PRJNA201003
REPOSITORIES: dbGaP
Action | DRS | |||
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GapExchange_phs000617.v1.p1.xml | Xml | |||
dbGaPEx2.1.5.xsd | Other | |||
Study_Report.phs000617.Leducq.v1.p1.MULTI.pdf | ||||
manifest_phs000617.Leducq.v1.p1.c1.HMB.pdf | ||||
datadict_v2.xsl | Other |
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