Evidence map›Paper›PMID 32527199›Full record

ArticleCirculation. Genomic and precision medicine2020

Genetic Basis and Prognostic Value of Exercise QT Dynamics.

Stefan van Duijvenboden, Julia Ramírez, William J Young, Borbala Mifsud, Michele Orini, Andrew Tinker, Patricia B Munroe, Pier D Lambiase

Open access · hybridAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Heart-Type Fatty Acid Binding Protein, Cardiovascular Outcomes, and Death: Findings From the German CKD Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
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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

8 authors at 2 institutions in 3 countries.

Stefan van Duijvenboden *Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., J.R., M.O., P.D.L.).
Julia Ramírez *Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., J.R., M.O., P.D.L.).
William J YoungClinical Pharmacology, William Harvey Research Institute (S.v.D., J.R., W.J.Y., B.M., M.O., A.T., P.B.M.), Barts & The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom.
Borbala MifsudClinical Pharmacology, William Harvey Research Institute (S.v.D., J.R., W.J.Y., B.M., M.O., A.T., P.B.M.), Barts & The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom.
Michele Orini *Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., J.R., M.O., P.D.L.).
Andrew Tinker *Clinical Pharmacology, William Harvey Research Institute (S.v.D., J.R., W.J.Y., B.M., M.O., A.T., P.B.M.), Barts & The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom.
Patricia B Munroe *Clinical Pharmacology, William Harvey Research Institute (S.v.D., J.R., W.J.Y., B.M., M.O., A.T., P.B.M.), Barts & The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom.
Pier D Lambiase *Institute of Cardiovascular Science, University College London, United Kingdom (S.v.D., J.R., M.O., P.D.L.).
Queen Mary University of London · GBSt Bartholomew's Hospital · GB

Funding

British Heart Foundation FS/16/30/32162Medical Research Council MR/N025083/1Medical Research Council MR/R017468/1
6 · The paper itself

Abstract

backgroundAbnormal QT interval responses to heart rate (QT dynamics) is an independent risk predictor for cardiovascular disease in patients, but its genetic basis and prognostic value in a population-based cohort have not been investigated.

methodsQT dynamics during exercise and recovery were derived in 56 643 individuals from UK Biobank without a history of cardiovascular events. Genome-wide association studies were conducted to identify genetic variants and bioinformatics analyses were performed to prioritize candidate genes. The prognostic value of QT dynamics was evaluated for cardiovascular events (death or hospitalization) and all-cause mortality.

resultsHeritability of QT dynamics during exercise and recovery were 10.7% and 5.4%, respectively. Genome-wide association studies identified 20 loci, of which 4 loci included genes implicated in mendelian long-QT syndrome. Five loci did not overlap with previously reported resting QT interval loci; candidate genes included

conclusionsQT interval dynamics during exercise and recovery are heritable markers but do not carry independent prognostic information for clinical outcomes in the UK Biobank, a population-based cohort. Their prognostic importance may relate to cardiovascular disease cohorts where structural heart disease or ischemia may influence repolarization dynamics. The strong overlap between QT dynamics and resting QT interval loci suggests common biological pathways; however, nonoverlapping loci suggests alternative mechanisms may exist that underlie QT interval dynamics.

Indexed as

Genome-Wide Association StudyAgedElectrocardiographyExerciseFemaleGenetic LociHumansKCNQ Potassium ChannelsLong QT SyndromeMaleMiddle AgedPolymorphism, Single NucleotidePrognosisProportional Hazards ModelsRisk FactorsSurvival AnalysisKCNQ4 protein, humanKCNQ Potassium Channelscardiovascular diseaseexercisegenome-wide association studymortalityrisk factors

Identifiers

PMID32527199
PMCPMC7439940
OpenAlexW3035170475

What OpenQuestion holds

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LicenceCC BY
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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.