ArticleGeroScience2025
Genomic determinants of biological age estimated by deep learning applied to retinal images.
Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Genome-wide association study for refractive error imputed from fundus images via deep learning: a proof-of-concept study.Japanese journal of ophthalmology · 2026Article
- Deep learning aging marker from retinal images unveils sex-specific clinical and genetic signatures.Nature communications · 2026Article
- Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits.Nature cardiovascular research · 2026Article
- A multimodal ocular aging index reveals proteomic pathways and predicts incident age-related eye diseases.npj aging · 2026Article
- Explainable retinal deep learning for cardiovascular risk stratification: a multiple modality analysis framework with vascular-centric interpretability and robustness.BMC medical informatics and decision making · 2026Article
- Modifiable risk factors associated with increased retinal age gap in an Australian population.GeroScience · 2026Article
- ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.Briefings in bioinformatics · 2026Article
- REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye disease.medRxiv : the preprint server for health sciences · 2025Article
- Ophthalmic imaging as a measure of cardiovascular and neurological health: a multi-omic analysis of deep-learning derived phenotypes.medRxiv : the preprint server for health sciences · 2025Article
- A framework of biomarkers for visual system aging: a consensus statement by the Aging Biomarker Consortium.Life medicine · 2025Article
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between chronological age and predicted retinal age has been established previously to predict the age-related disease. In this study, we performed discovery genome-wide association analysis (GWAS) on the RAG using the 31,271 UK Biobank participants and replicated our findings in 8034 GoDARTS participants. The genetic correlation between RAGs predicted from the two cohorts was 0.67 (P = 0.021). After meta-analysis, we found 13 RAG loci which might be related to retinal vessel density and other aging processes. The SNP-wide heritability (h
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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.