Publications

Development and validation of an ECG-based 10-year risk prediction model for Major Adverse Cardiac and Cerebrovascular Events in UK Biobank

Sturge A. et al, (2026)

Deep learning to predict left ventricular hypertrophy from the electrocardiogram.

Naderi H. et al, (2026), 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, 28

Generation of a Free-Living Ground-Truth Validation Dataset for Wearable Measures of Physical Activity, Sedentary Behavior, Sleep, and Heart Rate in Adults (OxWEARS): Protocol for a Cross-Sectional Study.

Maylor BD. et al, (2025), JMIR research protocols, 14

Heart Rate Profiles During Exercise and Incident Parkinson's Disease.

van Duijvenboden S. et al, (2025), Annals of neurology, 98, 1004 - 1013

Daily steps are a predictor of, but perhaps not a risk factor for Parkinson's disease: findings from the UK Biobank.

Acquah A. et al, (2025), NPJ Parkinson's disease, 11

Relationships of Circulating Plasma Metabolites With the QT Interval in a Large Population Cohort.

Young WJ. et al, (2025), Circulation. Genomic and precision medicine, 18

Leucocyte telomere length and conduction system ageing.

van Duijvenboden S. et al, (2025), Heart (British Cardiac Society), 111, 314 - 320

Fine mapping of candidate effector genes for heart rate.

Ramírez J. et al, (2024), Human genetics, 143, 1207 - 1221

Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson’s Disease: findings from the UK Biobank

Acquah A. et al, (2024)

Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects.

van Duijvenboden S. et al, (2023), Circulation, 148, 1932 - 1944

Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning.

Naderi H. et al, (2023), European heart journal. Digital health, 4, 316 - 324

Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With Hypertrophic Cardiomyopathy.

Aung N. et al, (2023), Circulation. Genomic and precision medicine, 16

Prediction of Coronary Artery Disease and Major Adverse Cardiovascular Events Using Clinical and Genetic Risk Scores for Cardiovascular Risk Factors.

Ramírez J. et al, (2022), Circulation. Genomic and precision medicine, 15

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways.

Young WJ. et al, (2022), Nature communications, 13

ECG T-Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low- and Moderate-Risk Populations.

Ramírez J. et al, (2022), Journal of the American Heart Association, 11

Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders.

van Duijvenboden S. et al, (2021), Human molecular genetics, 30, 2513 - 2523

IDENTIFICATION OF THIRTY NOVEL LOCI FOR CARDIOVASCULAR MAGNETIC RESONANCE DERIVED AORTIC DISTENSIBILITY IN THE UK BIOBANK

Fung K. et al, (2021), HEART, 107, A6 - A8

Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.

Ntalla I. et al, (2020), Nature communications, 11

Pulse Arrival Time and Pulse Interval as Accurate Markers to Detect Mechanical Alternans.

van Duijvenboden S. et al, (2019), Annals of biomedical engineering, 47, 1291 - 1299

Beat-to-Beat Variability of Ventricular Action Potential Duration Oscillates at Low Frequency During Sympathetic Provocation in Humans.

Porter B. et al, (2018), Frontiers in physiology, 9

Cookies on this website

Search results (26)