Evidence map›Paper›PMID 32386560›Full record

ArticleAmerican journal of human genetics2020

Common Genetic Variants Modulate the Electrocardiographic Tpeak-to-Tend Interval.

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

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  9. 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
    Article
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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

7 authors at 4 institutions in 1 country.

Julia RamírezClinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK.
Stefan van DuijvenbodenClinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK.
William J YoungClinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Barts Heart Centre, St Bartholomew's Hospital, London EC1A 7BE, UK.
Michele OriniClinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK; Barts Heart Centre, St Bartholomew's Hospital, London EC1A 7BE, UK.
Pier D LambiaseInstitute of Cardiovascular Science, University College London, London WC1E 6BT, UK; Barts Heart Centre, St Bartholomew's Hospital, London EC1A 7BE, UK.
Patricia B MunroeClinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. Electronic address: p.b.munroe@qmul.ac.uk.
Andrew TinkerClinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. Electronic address: a.tinker@qmul.ac.uk.
William Harvey Research Institute · GBUniversity College London · GBQueen Mary University of London · GBSt Bartholomew's Hospital · GB

Funding

Medical Research Council MR/N025083/1Medical Research Council MR/R017468/1
6 · The paper itself

Abstract

Sudden cardiac death is responsible for half of all deaths from cardiovascular disease. The analysis of the electrophysiological substrate for arrhythmias is crucial for optimal risk stratification. A prolonged T-peak-to-Tend (Tpe) interval on the electrocardiogram is an independent predictor of increased arrhythmic risk, and Tpe changes with heart rate are even stronger predictors. However, our understanding of the electrophysiological mechanisms supporting these risk factors is limited. We conducted genome-wide association studies (GWASs) for resting Tpe and Tpe response to exercise and recovery in ∼30,000 individuals, followed by replication in independent samples (∼42,000 for resting Tpe and ∼22,000 for Tpe response to exercise and recovery), all from UK Biobank. Fifteen and one single-nucleotide variants for resting Tpe and Tpe response to exercise, respectively, were formally replicated. In a full dataset GWAS, 13 further loci for resting Tpe, 1 for Tpe response to exercise and 1 for Tpe response to exercise were genome-wide significant (p ≤ 5 × 10

Indexed as

ElectrocardiographyGenome-Wide Association StudyAdultAgedExerciseFemaleGenetic LociGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideRestSex CharacteristicsUnited KingdomVentricular Functioncardiac conduction and contractioncardiovascular dynamicselectrocardiogramgenetic risk scoregeneticsgenome-wide association studysudden cadiac deathT-peak-to-T-end intervalventricular arrhythmiasventricular repolarization

Identifiers

PMID32386560
PMCPMC7273524
OpenAlexW3023729537

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.