Evidence map›Paper›PMID 31440766›Full record

ReviewPediatric cardiology2019

Long QT Syndrome: Genetics and Future Perspective.

Eimear Wallace, Linda Howard, Min Liu, Timothy O'Brien, Deirdre Ward, Sanbing Shen, Terence Prendiville

Open access · hybridAbstract readReview
In one paragraph

Review in Pediatric cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
10.8field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 142 citations in OpenAlex.

  1. Review
  2. C-terminal long-QT type 1 R562S-Kv7.1 variant, the first variant in helix C impairing β-adrenergic response of the slow delayed rectifier K+ channel.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 · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Gene therapy for cardiac arrhythmias.Nature reviews. Cardiology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. COMPUTATIONAL ANALYSIS OF THE NOVEL LQT3 MUTATIONS G1481V AND Q1491H IN MYOCARDIAL AND PURKINJE CELLS.Annual Modeling and Simulation Conference (ANNSIM). Annual Modeling and Simulation Conference (Online) · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

15 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Eimear WallaceRegenerative Medicine Institute, School of Medicine, National University of Ireland (NUI) Galway, Galway, Ireland.
Linda HowardRegenerative Medicine Institute, School of Medicine, National University of Ireland (NUI) Galway, Galway, Ireland.
Min LiuRegenerative Medicine Institute, School of Medicine, National University of Ireland (NUI) Galway, Galway, Ireland.
Timothy O'BrienRegenerative Medicine Institute, School of Medicine, National University of Ireland (NUI) Galway, Galway, Ireland.
Deirdre WardDepartment of Cardiology, Tallaght University Hospital, Dublin, Ireland.
Sanbing ShenRegenerative Medicine Institute, School of Medicine, National University of Ireland (NUI) Galway, Galway, Ireland.
Terence PrendivilleDepartment of Paediatric Cardiology, Our Lady's Children's Hospital Crumlin, Dublin, Ireland. terence.prendiville@olchc.ie.ORCID http://orcid.org/0000-0002-3824-636X
Ollscoil na Gaillimhe – University of Galway · IEChildren's Health Ireland at Crumlin · IETallaght University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long QT syndrome (LQTS) is an inherited primary arrhythmia syndrome that may present with malignant arrhythmia and, rarely, risk of sudden death. The clinical symptoms include palpitations, syncope, and anoxic seizures secondary to ventricular arrhythmia, classically torsade de pointes. This predisposition to malignant arrhythmia is from a cardiac ion channelopathy that results in delayed repolarization of the cardiomyocyte action potential. The QT interval on the surface electrocardiogram is a summation of the individual cellular ventricular action potential durations, and hence is a surrogate marker of the abnormal cellular membrane repolarization. Severely affected phenotypes administered current standard of care therapies may not be fully protected from the occurrence of cardiac arrhythmias. There are 17 different subtypes of LQTS associated with monogenic mutations of 15 autosomal dominant genes. It is now possible to model the various LQTS phenotypes through the generation of patient-specific induced pluripotent stem cell-derived cardiomyocytes. RNA interference can silence or suppress the expression of mutant genes. Thus, RNA interference can be a potential therapeutic intervention that may be employed in LQTS to knock out mutant mRNAs which code for the defective proteins. CRISPR/Cas9 is a genome editing technology that offers great potential in elucidating gene function and a potential therapeutic strategy for monogenic disease. Further studies are required to determine whether CRISPR/Cas9 can be employed as an efficacious and safe rescue of the LQTS phenotype. Current progress has raised opportunities to generate in vitro human cardiomyocyte models for drug screening and to explore gene therapy through genome editing.

Indexed as

ElectrocardiographyHeart VentriclesHumansInduced Pluripotent Stem CellsLong QT SyndromeMutationMyocytes, CardiacArrhythmiasCardiacCRISPR–Cas systemsGene editingInduced pluripotent stem cellsLong QT syndrome

Identifiers

PMID31440766
PMCPMC6785594
OpenAlexW2969218775

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.