Evidence map›Paper›PMID 26318259›Full record

ArticleHeart rhythm2016

Stop-codon and C-terminal nonsense mutations are associated with a lower risk of cardiac events in patients with long QT syndrome type 1.

Martin H Ruwald, Xiaorong Xu Parks, Arthur J Moss, Wojciech Zareba, Jayson Baman, Scott McNitt, Jorgen K Kanters, Wataru Shimizu, Arthur A Wilde, Christian Jons and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Heart rhythm, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Software-based analysis of T-wave morphology: identifying the electrocardiogram signature of high-risk long QT syndrome.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Atrial fibrillation and atrial cardiomyopathies.Journal of cardiovascular electrophysiology · 2021
    Review
  6. Article
  7. Article
  8. Review
  9. From Genotype to Phenotype.Circulation. Genomic and precision medicine · 2018
    Review
  10. Review
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

Martin H RuwaldHeart Research Follow-up Program, Division of Cardiology, University of Rochester Medical Center, Rochester, New York; Department of Cardiology, Gentofte Hospital, Hellerup, Denmark.
Xiaorong Xu ParksCardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York.
Arthur J MossHeart Research Follow-up Program, Division of Cardiology, University of Rochester Medical Center, Rochester, New York.
Wojciech ZarebaHeart Research Follow-up Program, Division of Cardiology, University of Rochester Medical Center, Rochester, New York.
Jayson BamanHeart Research Follow-up Program, Division of Cardiology, University of Rochester Medical Center, Rochester, New York.
Scott McNittHeart Research Follow-up Program, Division of Cardiology, University of Rochester Medical Center, Rochester, New York.
Jorgen K KantersDepartment of Cardiology, Gentofte Hospital, Hellerup, Denmark; Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Wataru ShimizuDepartment of Cardiovascular Medicine, Nippon Medical School, Tokyo, Japan.
Arthur A WildeAMC Heart Centre, Department of Clinical and Experimental Cardiology, Academic Medical Centre, Amsterdam, The Netherlands.
Christian JonsDepartment of Cardiology, Gentofte Hospital, Hellerup, Denmark.
Coeli M LopesCardiovascular Research Institute, Department of Medicine, University of Rochester, Rochester, New York. Electronic address: coeli_lopes@urmc.rochester.edu.
University of Rochester Medical Center · USGentofte Hospital · DKUniversity of Rochester · USAcademic Medical Center · NLNippon Medical School · JPUniversity of Copenhagen · DK

Funding

cPKC Regulation of Cardiac Potassium ChannelsR01HL114792 · NHLBI · UNIVERSITY OF ROCHESTER · PI LOPES, COELI M. B. · 2013 to 2016
$1.5M
NHLBI NIH HHS R01 HL114792NHLBI NIH HHS R01HL114792
6 · The paper itself

Abstract

backgroundIn long QT syndrome type 1 (LQT1), the location and type of mutations have been shown to affect the clinical outcome. Although haploinsufficiency, including stop-codon and frameshift mutations, has been associated with a lower risk of cardiac events in patients with LQT1, nonsense mutations have been presumed functionally equivalent.

objectiveThe purpose of this study was to evaluate clinical differences between patients with nonsense mutations.

methodsThe study sample comprised 1090 patients with genetically confirmed mutations. Patients were categorized into 5 groups, depending on mutation type and location: missense not located in the high-risk cytoplasmic loop (c-loop) (n = 698), which is used as reference; missense c-loop (n = 192); stop-codon (n = 67); frameshift (n = 39); and others (n = 94). The primary outcome was a composite end point of syncope, aborted cardiac arrest, and long QT syndrome-related death (cardiac events). Outcomes were evaluated using the multivariate Cox proportional hazards regression analysis. Standard patch clamp techniques were used.

resultsCompared to patients with missense non-c-loop mutations, the risk of cardiac events was reduced significantly in patients with stop-codon mutations (hazard ratio [HR] 0.57; 95% confidence interval [CI] 0.34-0.96; P = .035), but not in patients with frameshift mutations (HR 1.01; 95% CI 0.58-1.77; P = .97). Our data suggest that currents of the most common stop-codon mutant channel (Q530X) were larger than those of haploinsufficient channels (wild type: 42 ± 6 pA/pF, n = 20; Q530X+wild type: 79 ± 14 pA/pF, n = 20; P < .05) and voltage dependence of activation was altered.

conclusionStop-codon mutations are associated with a lower risk of cardiac events in patients with LQT1, while frameshift mutations are associated with the same risk as the majority of the missense mutations. Our data indicate functional differences between these previously considered equivalent mutation subtypes.

Indexed as

AdolescentAdultCodon, NonsenseCodon, TerminatorDeath, Sudden, CardiacFemaleFrameshift MutationHeart ArrestHumansKCNQ1 Potassium ChannelMaleMutation, MissensePrognosisProportional Hazards ModelsRisk AssessmentRomano-Ward SyndromeCodon, NonsenseCodon, TerminatorKCNQ1 Potassium ChannelKCNQ1 protein, humanAborted cardiac arrestCardiac eventsFrameshiftHaploinsufficiencyLQT1MutationsNonsenseStop codonSudden cardiac deathSyncope

Identifiers

PMID26318259
PMCPMC4743743
OpenAlexW1891614122

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.