SynthesisNature genetics2022
Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function.
Synthesis in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
What it found
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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.
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
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- A systematic review of GWAS on CMR imaging traits: genetic insights into cardiovascular structure, function, and diseases.EBioMedicine · 2025Pooled it
- Genome-wide analysis identifies susceptibility loci for heart failure and nonischemic cardiomyopathy subtype in the East Asian populations.PLoS genetics · 2025Pooled it
- Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure.Nature communications · 2022Pooled it
- Genetic variants in pulmonary hypertension associated with chronic obstructive pulmonary disease.Current opinion in pulmonary medicine · 2026Review
- Effects of Schizophrenia, Bipolar Disorder, and Depression on Cardiopulmonary and Abdominal Organ Structure.Biological psychiatry global open science · 2026Article
- Translating genome-wide association studies at multiple scales: Drug target prioritization, cellular architectures, and organ imaging.Cell genomics · 2026Review
- Integrative Observational and Genetic Evidence From the UK Biobank Supports Carotid Intima-Media Thickness as a Window Into Cardiac Remodeling.Journal of the American Heart Association · 2026Observational
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- Genetic Determinants of Pulmonary Artery Size in over 50,000 Subjects with and without COPD.medRxiv : the preprint server for health sciences · 2026Article
- Forecasting Alzheimer's disease progression via identity-preserved denoising diffusion generative adversarial network.NPJ digital medicine · 2026Article
- Brain-heart-eye axis revealed by multi-organ imaging genetics and proteomics.Nature biomedical engineering · 2026Article
- Advances in the pathogenesis and clinical management of pulmonary hypertension.Medical review (2021) · 2026Review
- A generalizable deep learning system for cardiac MRI.Nature biomedical engineering · 2026Article
- Genome-wide analysis of cardiac ventricular phenotypes reveals novel loci and therapeutic targets for heart failure.Nature communications · 2026Article
- Cross-organ analysis reveals associations between vascular properties of the retina, the carotid and aortic arteries, and the brain.Communications medicine · 2026Article
- Nonmuscle α-Actinin-4 Couples Sarcomere Function to Cardiac Remodeling.Circulation research · 2026Article
- Ventricular cardiac magnetic resonance traits and schizophrenia risk: a UK Biobank and Mendelian randomization study.Frontiers in psychiatry · 2026Article
- Decoding structural birth defects through genomic landscapes: Innovative frameworks for diagnosis (Review).International journal of molecular medicine · 2026Review
- Observational
- Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits.American journal of human genetics · 2025Article
Corrections and comments
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Authors and funding
15 authors at 9 institutions in 2 countries.
Funding
Abstract
Right ventricular (RV) structure and function influence the morbidity and mortality from coronary artery disease (CAD), dilated cardiomyopathy (DCM), pulmonary hypertension and heart failure. Little is known about the genetic basis of RV measurements. Here we perform genome-wide association analyses of four clinically relevant RV phenotypes (RV end-diastolic volume, RV end-systolic volume, RV stroke volume, RV ejection fraction) from cardiovascular magnetic resonance images, using a state-of-the-art deep learning algorithm in 29,506 UK Biobank participants. We identify 25 unique loci associated with at least one RV phenotype at P < 2.27 ×10
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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.