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      Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank

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          Abstract

          Osteoarthritis is the most common musculoskeletal disease and the leading cause of disability globally. Here, we perform a genome-wide association study for osteoarthritis (77,052 cases and 378,169 controls), analysing 4 phenotypes: knee osteoarthritis, hip osteoarthritis, knee and/or hip osteoarthritis, and any osteoarthritis. We discover 64 signals, 52 of them novel, more than doubling the number of established disease loci. Six signals fine map to a single variant. We identify putative effector genes by integrating eQTL colocalization, fine-mapping, human rare disease, animal model, and osteoarthritis tissue expression data. We find enrichment for genes underlying monogenic forms of bone development diseases, and for the collagen formation and extracellular matrix organisation biological pathways. Ten of the likely effector genes, including TGFB1, FGF18, CTSK and IL11 have therapeutics approved or in clinical trials, with mechanisms of action supportive of evaluation for efficacy in osteoarthritis.

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          The Genotype-Tissue Expression (GTEx) Project.

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            Is Open Access

            Open Targets: a platform for therapeutic target identification and validation

            We have designed and developed a data integration and visualization platform that provides evidence about the association of known and potential drug targets with diseases. The platform is designed to support identification and prioritization of biological targets for follow-up. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources. The platform provides either a target-centric workflow to identify diseases that may be associated with a specific target, or a disease-centric workflow to identify targets that may be associated with a specific disease. Users can easily transition between these target- and disease-centric workflows. The Open Targets Validation Platform is accessible at https://www.targetvalidation.org.
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              Regulation of the catabolic cascade in osteoarthritis by the zinc-ZIP8-MTF1 axis.

              Osteoarthritis (OA), primarily characterized by cartilage degeneration, is caused by an imbalance between anabolic and catabolic factors. Here, we investigated the role of zinc (Zn2+) homeostasis, Zn2+ transporters, and Zn(2+)-dependent transcription factors in OA pathogenesis. Among Zn2+ transporters, the Zn2+ importer ZIP8 was specifically upregulated in OA cartilage of humans and mice, resulting in increased levels of intracellular Zn2+ in chondrocytes. ZIP8-mediated Zn2+ influx upregulated the expression of matrix-degrading enzymes (MMP3, MMP9, MMP12, MMP13, and ADAMTS5) in chondrocytes. Ectopic expression of ZIP8 in mouse cartilage tissue caused OA cartilage destruction, whereas Zip8 knockout suppressed surgically induced OA pathogenesis, with concomitant modulation of Zn2+ influx and matrix-degrading enzymes. Furthermore, MTF1 was identified as an essential transcription factor in mediating Zn2+/ZIP8-induced catabolic factor expression, and genetic modulation of Mtf1 in mice altered OA pathogenesis. We propose that the zinc-ZIP8-MTF1 axis is an essential catabolic regulator of OA pathogenesis. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                19 February 2019
                21 January 2019
                February 2019
                21 July 2019
                : 51
                : 2
                : 230-236
                Affiliations
                [1 ]Target Sciences - R&D, GSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, UK
                [2 ]Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
                [3 ]Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
                [4 ]Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
                [5 ]MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Oakfield Grove Clifton, Bristol, BS8 2BN, UK
                [6 ]Department of Medical Genetics, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
                [7 ]Department of Oncology and Metabolism, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK
                [8 ]5th Psychiatric Department, Dromokaiteio Psychiatric Hospital, Haidari, Athens TK 12461, Greece
                [9 ]Cancer Research Division, Cancer Council NSW, Woolloomooloo, New South Wales, Australia
                [10 ]Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1A2, Canada
                [11 ]Target Sciences - R&D, GSK, 709 Swedeland Road, King of Prussia, PA 19406, US
                [12 ]European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
                Author notes
                [+ ]Corresponding author Eleftheria Zeggini: eleftheria.zeggini@ 123456helmholtz-muenchen.de
                [13]

                A list of arcOGEN Consortium members and affiliations appears in the Supplementary Note

                Article
                EMS80782
                10.1038/s41588-018-0327-1
                6400267
                30664745
                79ab7d84-8389-4b08-8841-4a340b7b7c08

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                Genetics
                Genetics

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