ArticleAmerican journal of human genetics2020
Common Genetic Variants Modulate the Electrocardiographic Tpeak-to-Tend Interval.
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.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Polygenic risk modulates myocardial repolarization and T-wave geometry in congenital long-QT syndrome type 1: evidence from digital ECG phenotyping.Frontiers in cardiovascular medicine · 2026Article
- 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2025Review
- [Intrinsic steady-state pattern of mouse cardiac electrophysiology: analysis using a characterized quantitative electrocardiogram strategy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.Nature communications · 2023Article
- Article
- Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association.Circulation · 2023Review
- CLIN_SKAT: an R package to conduct association analysis using functionally relevant variants.BMC bioinformatics · 2022Article
- 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 · 2022Article
- ECG T-Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low- and Moderate-Risk Populations.Journal of the American Heart Association · 2022Article
- Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders.Human molecular genetics · 2021Article
- Cardiovascular waveforms - can we extract more from routine signals?JRSM cardiovascular diseaseArticle
- Analysing electrocardiographic traits and predicting cardiac risk in UK biobank.JRSM cardiovascular diseaseReview
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
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
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