SynthesisEBioMedicine2025
A systematic review of GWAS on CMR imaging traits: genetic insights into cardiovascular structure, function, and diseases.
Synthesis in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- 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
- Atorvastatin Protects Against Deleterious Carfilzomib-Induced Transcriptional Changes in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.International journal of molecular sciences · 2026Article
- Letter regarding: "A systematic review of GWAS on CMR imaging traits: genetic insights into cardiovascular structure, function, and diseases".EBioMedicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiac magnetic resonance (CMR) imaging enables precise quantification of cardiac structure/function in biobanks, facilitating genetic investigation of cardiovascular traits. Genome-wide association studies (GWAS) have emerged as a useful tool to identify common and rare genetic variants associated with cardiovascular diseases (CVDs).
methodsWe conducted a systematic review of CMR-based cardiac trait GWAS to generate an overview of phenotypes evaluated, loci identified and relationships with CVD outcomes.
findingsWe identified 149 risk loci associated with chamber-specific cardiac traits, revealing fundamental insights into cardiac genetic architecture. Our findings demonstrate that ventricular structure and function are predominantly governed by genes such as TTN (identified in 47.1% of studies) and BAG3 (29.4%) showing consistent associations across both left and right ventricular traits. In contrast, aortic measures were strongly associated with ELN variants (23.5%), highlighting specialised genetic control of vascular properties. Notably, several genes influence multiple cardiac chambers, with TTN variants associated with both left and right ventricular volumes and function, while BAG3 and PTPN11 regulate biventricular contractility, and TBX5 impacts ventricular and atrial development.
interpretationBy identifying key genetic variants linked with CMR-derived cardiac traits, this review enhances our understanding of the genetics of CVDs and other medical conditions.
fundingBritish Heart Foundation Accelerator Award (AA/18/6/34223) and NIHR University College London Hospitals Biomedical Research Centre.
Indexed as
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.