ArticleThe EPMA journal2023
Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms.
Article in The EPMA journal, 2023. 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, 20 citations in OpenAlex.
- How Early Should I Refer My Patient? The Benefits of a Quick Ophthalmic Referral in Spinocerebellar Ataxias, a Case Series and Literature Review.Brain sciences · 2026Article
- Status, challenges, and prospects of artificial intelligence application in gout diagnosis and treatment, drug research and development, and disease monitoring.Frontiers in medicine · 2026Review
- Choroidal Vascular Fingerprints From Indocyanine Green Angiography Unveil Chorioretinal Disease State.Investigative ophthalmology & visual science · 2025Article
- Biomarkers for Personalised Primary or Secondary Prevention in Cardiovascular Diseases: A Rapid Scoping Review.International journal of molecular sciences · 2025Article
- Retinal oculomics and risk of incident aortic aneurysm and aortic adverse events: a population-based cohort study.International journal of surgery (London, England) · 2025Article
- Application of ChatGPT-4 to oculomics: a cost-effective osteoporosis risk assessment to enhance management as a proof-of-principles model in 3PM.The EPMA journal · 2024Article
- Retinal Imaging-Based Oculomics: Artificial Intelligence as a Tool in the Diagnosis of Cardiovascular and Metabolic Diseases.Biomedicines · 2024Review
- Oculomics: A Crusade Against the Four Horsemen of Chronic Disease.Ophthalmology and therapy · 2024Review
- Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES.BioData mining · 2024Article
- Retinal Vascular Measurements and Mortality Risk: Evidence From the UK Biobank Study.Translational vision science & technology · 2024Article
- Article
- Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk.Ophthalmology scienceArticle
- Population-Based Normative Reference for Retinal Microvascular Atlas.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
19 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Arterial aneurysms are life-threatening but usually asymptomatic before requiring hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus images can reflect systemic vascular properties and therefore were hypothesized to provide valuable information on detecting the risk of aneurysms. By integrating oculomics with genomics, this study aimed to (i) identify predictive RVFs as imaging biomarkers for aneurysms and (ii) evaluate the value of these RVFs in supporting early detection of aneurysms in the context of predictive, preventive and personalized medicine (PPPM). Methods: This study involved 51,597 UK Biobank participants who had retinal images available to extract oculomics of RVFs. Phenome-wide association analyses (PheWASs) were conducted to identify RVFs associated with the genetic risks of the main types of aneurysms, including abdominal aortic aneurysm (AAA), thoracic aneurysm (TAA), intracranial aneurysm (ICA) and Marfan syndrome (MFS). An aneurysm-RVF model was then developed to predict future aneurysms. The performance of the model was assessed in both derivation and validation cohorts and was compared with other models employing clinical risk factors. An RVF risk score was derived from our aneurysm-RVF model to identify patients with an increased risk of aneurysms. Results: PheWAS identified a total of 32 RVFs that were significantly associated with the genetic risks of aneurysms. Of these, the number of vessels in the optic disc ('ntreeA') was associated with both AAA ( Conclusion: We identified a significant association between certain RVFs and the risk of aneurysms and revealed the impressive capability of using RVFs to predict the future risk of aneurysms by a PPPM approach. Our finds have great potential to support not only the predictive diagnosis of aneurysms but also a preventive and more personalized screening plan which may benefit both patients and the healthcare system. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-023-00315-7.
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