Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits.
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| Title: | Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits. |
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| Authors: | Julian TH; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. thomas.julian@manchester.ac.uk.; Centre for Computational Imaging and Modelling in Medicine (CIMIM), The Christabel Pankhurst Institute, The University of Manchester, Manchester, UK. thomas.julian@manchester.ac.uk.; Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, UK. thomas.julian@manchester.ac.uk.; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK. thomas.julian@manchester.ac.uk., Dou H; Centre for Computational Imaging and Modelling in Medicine (CIMIM), The Christabel Pankhurst Institute, The University of Manchester, Manchester, UK.; Department of Computer Science, School of Engineering, Faculty of Science and Engineering, University of Manchester, Manchester, UK., Duan J; Centre for Computational Imaging and Modelling in Medicine (CIMIM), The Christabel Pankhurst Institute, The University of Manchester, Manchester, UK.; Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.; BHF Centre of Research Excellence, University of Manchester, Manchester, UK., Huang J; Centre for Computational Imaging and Modelling in Medicine (CIMIM), The Christabel Pankhurst Institute, The University of Manchester, Manchester, UK.; Department of Computer Science, School of Engineering, Faculty of Science and Engineering, University of Manchester, Manchester, UK., Yoo E; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK., Green DJ; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Strange A; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.; NIHR Sheffield Biomedical Research Centre, Sheffield, UK., Alhathli E; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.; NIHR Sheffield Biomedical Research Centre, Sheffield, UK., Sperrin M; Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Keane PA; NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust, London, UK.; Institute of Ophthalmology, University College London, London, UK., Chew EY; Division of Epidemiology and Clinical Applications, National Eye Institute/National Institutes of Health, Bethesda, MD, USA., Keavney B; Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, UK., Fitzgerald TW; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK., Cooper-Knock J; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.; NIHR Sheffield Biomedical Research Centre, Sheffield, UK., Birney E; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK., Frangi AF; Centre for Computational Imaging and Modelling in Medicine (CIMIM), The Christabel Pankhurst Institute, The University of Manchester, Manchester, UK.; Department of Computer Science, School of Engineering, Faculty of Science and Engineering, University of Manchester, Manchester, UK.; Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.; BHF Centre of Research Excellence, University of Manchester, Manchester, UK.; NIHR Manchester Biomedical Research Centre, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.; Medical Imaging Research Center (MIRC), University Hospital Gasthuisberg. Cardiovascular Sciences and Electrical Engineering, KU Leuven, Leuven, Belgium., Sergouniotis PI; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.; Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, UK.; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK. |
| Corporate Authors: | UK Biobank Eye and Vision Consortium |
| Source: | Nature cardiovascular research [Nat Cardiovasc Res] 2026 Jun; Vol. 5 (6), pp. 541-554. Date of Electronic Publication: 2026 Jun 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 9918284280206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2731-0590 (Electronic) Linking ISSN: 27310590 NLM ISO Abbreviation: Nat Cardiovasc Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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