ArticleNature cardiovascular research2022
Genetic and environmental determinants of diastolic heart function.
Article in Nature cardiovascular research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- A systematic review of GWAS on CMR imaging traits: genetic insights into cardiovascular structure, function, and diseases.EBioMedicine · 2025Pooled it
- Effects of Schizophrenia, Bipolar Disorder, and Depression on Cardiopulmonary and Abdominal Organ Structure.Biological psychiatry global open science · 2026Article
- Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.Nature biomedical engineering · 2026Article
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Translating genome-wide association studies at multiple scales: Drug target prioritization, cellular architectures, and organ imaging.Cell genomics · 2026Review
- Big Data and Trustworthy AI for Heart Failure: A Review.Circulation. Heart failure · 2026Review
- Four-dimensional left ventricular motion clustering reveals cardiovascular phenotypes at population scale.Scientific reports · 2026Article
- Multi-organ imaging and genetics show the impact of sleep patterns on the human brain and body.Communications medicine · 2026Article
- The influence of age and captivity on cardiac structure and function in rhesus macaques.GeroScience · 2026Article
- A generalizable deep learning system for cardiac MRI.Nature biomedical engineering · 2026Article
- Quantitative MRI Values for Atrial and Ventricular Parameters in Altitude-Dwelling Youth.Journal of magnetic resonance imaging : JMRI · 2026Article
- Right and Left Atrial Dysfunction as Independent Cardiovascular Risk Factors: A UK Biobank Study.Circulation. Arrhythmia and electrophysiology · 2026Article
- Mechanotyping of Organoids for Assessing Drug-Induced Injuries.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Sex-specific body fat distribution predicts cardiovascular ageing.European heart journal · 2025Article
- Sickle Cell Diastolic Cardiomyopathy and Mortality Risk: A Novel Echocardiographic Framework for Prognostic Stratification.American journal of hematology · 2025Article
- The influence of captivity on cardiac structure and function across age, in rhesus macaques.bioRxiv : the preprint server for biology · 2025Article
- New Genetic Loci Implicated in Cardiac Morphology and Function Using Three-Dimensional Population Phenotyping.Circulation. Genomic and precision medicine · 2025Article
- How to measure and model cardiovascular aging.Cardiovascular research · 2025Review
- Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.Nature cardiovascular research · 2025Article
- Cardiac Fibrosis in the Multi-Omics Era: Implications for Heart Failure.Circulation research · 2025Review
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 3 countries.
Funding
Abstract
Diastole is the sequence of physiological events that occur in the heart during ventricular filling and principally depends on myocardial relaxation and chamber stiffness. Abnormal diastolic function is related to many cardiovascular disease processes and is predictive of health outcomes, but its genetic architecture is largely unknown. Here, we use machine learning cardiac motion analysis to measure diastolic functional traits in 39,559 participants of the UK Biobank and perform a genome-wide association study. We identified 9 significant, independent loci near genes that are associated with maintaining sarcomeric function under biomechanical stress and genes implicated in the development of cardiomyopathy. Age, sex and diabetes were independent predictors of diastolic function and we found a causal relationship between genetically-determined ventricular stiffness and incident heart failure. Our results provide insights into the genetic and environmental factors influencing diastolic function that are relevant for identifying causal relationships and potential tractable targets.
Identifiers
What OpenQuestion holds
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.