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Genome Wide Analysis of Drug-Induced Torsades de Pointes: Lack of Common Variants with Large Effect Sizes

Overview of attention for article published in PLOS ONE, November 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Citations

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Title
Genome Wide Analysis of Drug-Induced Torsades de Pointes: Lack of Common Variants with Large Effect Sizes
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0078511
Pubmed ID
Authors

Elijah R. Behr, Marylyn D. Ritchie, Toshihiro Tanaka, Stefan Kääb, Dana C. Crawford, Paola Nicoletti, Aris Floratos, Moritz F. Sinner, Prince J. Kannankeril, Arthur A. M. Wilde, Connie R. Bezzina, Eric Schulze-Bahr, Sven Zumhagen, Pascale Guicheney, Nanette H. Bishopric, Vanessa Marshall, Saad Shakir, Chrysoula Dalageorgou, Steve Bevan, Yalda Jamshidi, Rachel Bastiaenen, Robert J. Myerburg, Jean-Jacques Schott, A. John Camm, Gerhard Steinbeck, Kris Norris, Russ B. Altman, Nicholas P. Tatonetti, Steve Jeffery, Michiaki Kubo, Yusuke Nakamura, Yufeng Shen, Alfred L. George, Dan M. Roden

Abstract

Marked prolongation of the QT interval on the electrocardiogram associated with the polymorphic ventricular tachycardia Torsades de Pointes is a serious adverse event during treatment with antiarrhythmic drugs and other culprit medications, and is a common cause for drug relabeling and withdrawal. Although clinical risk factors have been identified, the syndrome remains unpredictable in an individual patient. Here we used genome-wide association analysis to search for common predisposing genetic variants. Cases of drug-induced Torsades de Pointes (diTdP), treatment tolerant controls, and general population controls were ascertained across multiple sites using common definitions, and genotyped on the Illumina 610k or 1M-Duo BeadChips. Principal Components Analysis was used to select 216 Northwestern European diTdP cases and 771 ancestry-matched controls, including treatment-tolerant and general population subjects. With these sample sizes, there is 80% power to detect a variant at genome-wide significance with minor allele frequency of 10% and conferring an odds ratio of ≥2.7. Tests of association were carried out for each single nucleotide polymorphism (SNP) by logistic regression adjusting for gender and population structure. No SNP reached genome wide-significance; the variant with the lowest P value was rs2276314, a non-synonymous coding variant in C18orf21 (p  =  3×10(-7), odds ratio = 2, 95% confidence intervals: 1.5-2.6). The haplotype formed by rs2276314 and a second SNP, rs767531, was significantly more frequent in controls than cases (p  =  3×10(-9)). Expanding the number of controls and a gene-based analysis did not yield significant associations. This study argues that common genomic variants do not contribute importantly to risk for drug-induced Torsades de Pointes across multiple drugs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Other 5 9%
Professor 5 9%
Student > Master 5 9%
Student > Bachelor 4 8%
Other 14 26%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 18 34%
Agricultural and Biological Sciences 8 15%
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 2 4%
Psychology 1 2%
Other 3 6%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2014.
All research outputs
#3,056,389
of 25,390,970 outputs
Outputs from PLOS ONE
#37,751
of 220,561 outputs
Outputs of similar age
#27,881
of 228,118 outputs
Outputs of similar age from PLOS ONE
#911
of 5,224 outputs
Altmetric has tracked 25,390,970 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 220,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 5,224 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.