Evidence map›Paper›PMID 28800628›Full record

ArticlePloS one2017

GENomE wide analysis of sotalol-induced IKr inhibition during ventricular REPOLarization, "GENEREPOL study": Lack of common variants with large effect sizes.

Joe-Elie Salem, Marine Germain, Jean-Sébastien Hulot, Pascal Voiriot, Bruno Lebourgeois, Jean Waldura, David-Alexandre Tregouet, Beny Charbit, Christian Funck-Brentano

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00773201 (Identification of the Genetic Sources of Variability of the Adaptation of the Ventricular Repolarisation at a Pharmacological and Physiological Stimulus in an Apparently Normal Population), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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.

NCT00773201 phase1completednot on this map

Identification of the Genetic Sources of Variability of the Adaptation of the Ventricular Repolarisation at a Pharmacological and Physiological Stimulus in an Apparently Normal Population

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2008 to 2012Enrolled997ConditionsHealthy VolunteersArmsSotalol 80 mg
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Sexual Dimorphisms, Anti-Hormonal Therapy and Cardiac Arrhythmias.International journal of molecular sciences · 2021
    Review
  7. Article
  8. Article
  9. Article
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

9 authors at 4 institutions in 1 country.

Joe-Elie SalemSorbonne-Universités, UPMC Univ Paris 06, INSERM, UMRS-1166, Institute of Cardio metabolism and Nutrition (ICAN), Paris, France.
Marine GermainAP-HP, CIC-1421-Paris-Est, Pitié-Salpêtrière Hospital, Paris, France.
Jean-Sébastien HulotSorbonne-Universités, UPMC Univ Paris 06, INSERM, UMRS-1166, Institute of Cardio metabolism and Nutrition (ICAN), Paris, France.ORCID http://orcid.org/0000-0001-5463-6117
Pascal VoiriotCardiabase-Banook group, Nancy, France.
Bruno LebourgeoisSorbonne-Universités, UPMC Univ Paris 06, INSERM, UMRS-1166, Institute of Cardio metabolism and Nutrition (ICAN), Paris, France.
Jean WalduraCardiabase-Banook group, Nancy, France.
David-Alexandre TregouetSorbonne-Universités, UPMC Univ Paris 06, INSERM, UMRS-1166, Institute of Cardio metabolism and Nutrition (ICAN), Paris, France.
Beny CharbitAP-HP, CIC-1421-Paris-Est, Pitié-Salpêtrière Hospital, Paris, France.
Christian Funck-BrentanoSorbonne-Universités, UPMC Univ Paris 06, INSERM, UMRS-1166, Institute of Cardio metabolism and Nutrition (ICAN), Paris, France.
Inserm · FRSorbonne Université · FRCentre Hospitalier Universitaire Amiens-Picardie · FRCentre Hospitalier Universitaire de Grenoble · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many drugs used for non-cardiovascular and cardiovascular purposes, such as sotalol, have the side effect of prolonging cardiac repolarization, which can trigger life-threatening cardiac arrhythmias by inhibiting the potassium-channel IKr (KCNH2). On the electrocardiogram (ECG), IKr inhibition induces an increase in QTc and Tpeak-Tend (TpTe) interval and a decrease of T wave maximal amplitude (TAmp). These changes vary markedly between subjects, suggesting the existence of predisposing genetic factors. 990 healthy individuals, prospectively challenged with an oral 80mg sotalol dose, were monitored for changes in ventricular repolarization on ECG between baseline and 3 hours post dosing. QTc and TpTe increased by 5.5±3.5% and 15±19.6%, respectively, and TAmp decreased by 13.2±15.5%. A principal-component analysis derived from the latter ECG changes was performed. A random subsample of 489 individuals were subjected to a genome-wide-association analysis where 8,306,856 imputed single nucleotide polymorphisms (SNPs) were tested for association with QTc, TpTe and TAmp modulations, as well their derived principal-components, to search for common genetic variants associated with sotalol-induced IKr inhibition. None of the studied SNPs reached the statistical threshold for genome-wide significance. This study supports the lack of common variants with larger effect sizes than one would expect based on previous ECG genome-wide-association studies. CLINICAL

trial registrationClinicalTrials.gov NCT00773201.

Indexed as

Genome-Wide Association StudyAction PotentialsAdultCohort StudiesDemographyElectrocardiographyFemaleHeart VentriclesHumansMalePhenotypePolymorphism, Single NucleotidePotassium ChannelsPrincipal Component AnalysisReproducibility of ResultsSotalolPotassium ChannelsSotalol

Identifiers

PMID28800628
PMCPMC5553738
OpenAlexW2742425545

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.