ArticleNature communications2025
Multi-omic spatial effects on high-resolution AI-derived retinal thickness.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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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.
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Who cites it
29 citing papers in PubMed.
- Genetic architecture of MRI-derived cervical spinal cord morphology reveals sensory-motor axis and systemic disease associations.Nature communications · 2026Article
- Genetic discovery using deep learning-derived optic nerve integrity phenotypes.medRxiv : the preprint server for health sciences · 2026Article
- Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2026Review
- Deep learning aging marker from retinal images unveils sex-specific clinical and genetic signatures.Nature communications · 2026Article
- Genome-wide association and multi-omics functional screens reveal the genetic architecture of foveal development.medRxiv : the preprint server for health sciences · 2026Article
- Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits.Nature cardiovascular research · 2026Article
- Biological age acceleration, genetic susceptibility, and incident diabetic retinopathy risk: A prospective cohort study.The journal of nutrition, health & aging · 2026Article
- Parafoveal Dark Adaptation in Early and Intermediate Age-Related Macular Degeneration.Investigative ophthalmology & visual science · 2026Article
- Haplotype-Based Analysis of OCA2 Variants in Oculocutaneous Albinism.Pigment cell & melanoma research · 2026Article
- Disease-associated microRNA, miR-9-2, regulates timing of retinal progenitor cell competence and maintenance of Müller glial identity.bioRxiv : the preprint server for biology · 2026Article
- Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine Models.bioRxiv : the preprint server for biology · 2026Article
- Multimodal AI fuses proteomic and EHR data for rational prioritization of protein biomarkers in diabetic retinopathy.medRxiv : the preprint server for health sciences · 2026Article
- Integrating AI, imaging innovations and omics for precision medicine.BMJ open ophthalmology · 2026Article
- Uncovering the Genetic Architecture of Optic Nerve Integrity Estimates through Genome-wide Association Study Meta-analyses.medRxiv : the preprint server for health sciences · 2026Article
- Deep-learning-derived glaucoma-related endophenotypes enable novel genome-wide genetic and functional discovery.Research square · 2026Article
- Neuroprotection in Diabetes Retinal Disease: An Unmet Medical Need.International journal of molecular sciences · 2026Review
- Genome-wide association study reveals genetic architecture and evolution of human retinal pigmentation.Science advances · 2026Article
- Artificial intelligence-integrated multimodal retinal imaging for early detection and risk stratification of systemic vascular and neurodegenerative diseases.Frontiers in neurology · 2026Article
- Establishing and validating a predictive model for long-term control outcomes following orthokeratology lenses wear: a five-year cohort study.Frontiers in cell and developmental biology · 2026Article
- HTRA1/lncRNA HTRA1-AS1 dominates in age-related macular degeneration reticular pseudodrusen genetic risk with no complement involvement.Nature communications · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Retinal thickness is a marker of retinal health and more broadly, is seen as a promising biomarker for many systemic diseases. Retinal thickness measurements are procured from optical coherence tomography (OCT) as part of routine clinical eyecare. We processed the UK Biobank OCT images using a convolutional neural network to produce fine-scale retinal thickness measurements across > 29,000 points in the macula, the part of the retina responsible for human central vision. The macula is disproportionately affected by high disease burden retinal disorders such as age-related macular degeneration and diabetic retinopathy, which both involve metabolic dysregulation. Analysis of common genomic variants, metabolomic, blood and immune biomarkers, disease PheCodes and genetic scores across a fine-scale macular thickness grid, reveals multiple novel genetic loci including four on the X chromosome; retinal thinning associated with many systemic disorders including multiple sclerosis; and multiple associations to correlated metabolites that cluster spatially in the retina. We highlight parafoveal thickness to be particularly susceptible to systemic insults. These results demonstrate the gains in discovery power and resolution achievable with AI-leveraged analysis. Results are accessible using a bespoke web interface that gives full control to pursue findings.
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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.