Sub-cellular level resolution of common genetic variation in the photoreceptor layer identifies continuum between rare disease and common variation.

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Bibliographic Details
Title: Sub-cellular level resolution of common genetic variation in the photoreceptor layer identifies continuum between rare disease and common variation.
Authors: Currant H; European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom.; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Fitzgerald TW; European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom., Patel PJ; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom., Khawaja AP; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom., Webster AR; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom., Mahroo OA; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.; Section of Ophthalmology, King's College London, St Thomas' Hospital Campus, London, United Kingdom.; Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom., Birney E; European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom.
Corporate Authors: UK Biobank Eye and Vision Consortium
Source: PLoS genetics [PLoS Genet] 2023 Feb 27; Vol. 19 (2), pp. e1010587. Date of Electronic Publication: 2023 Feb 27 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7404
DOI:10.1371/journal.pgen.1010587