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Abstract
Osteoarthritis causes pain and functional disability for over 500 million people worldwide. To develop disease-stratifying tools and modifying therapies, we need a better understanding of the molecular basis of the disease in relevant tissue and cell types. Here, we study primary cartilage and synovium from 115 patients with osteoarthritis to construct a deep molecular signature map of the disease. By integrating genetics with transcriptomics and proteomics, we discover molecular trait loci in each tissue type and omics level, identify likely effector genes for osteoarthritis-associated genetic signals and highlight high-value targets for drug development and repurposing. These findings provide insights into disease aetiopathology, and offer translational opportunities in response to the global clinical challenge of osteoarthritis.
Understanding the molecular effects of disease variants in relevant tissues is essential to understanding and treating disease. Here, the authors discover expression and protein quantitative trait loci in cartilage and synovium from 115 osteoarthritis patients to pinpoint genes of action and potential drug treatments.
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1 Helmholtz Zentrum München – German Research Center for Environmental Health, Institute of Translational Genomics, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525); Cancer Council NSW, Cancer Research Division, Sydney, Australia (GRID:grid.420082.c) (ISNI:0000 0001 2166 6280); Wellcome Sanger Institute, Hinxton, United Kingdom (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382); The University of Sydney, School of Public Health, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X)
2 Helmholtz Zentrum München – German Research Center for Environmental Health, Institute of Translational Genomics, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525); Wellcome Sanger Institute, Hinxton, United Kingdom (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382)
3 Wellcome Sanger Institute, Hinxton, United Kingdom (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382); The Institute of Cancer Research, London, United Kingdom (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623)
4 University of Sheffield, Department of Oncology and Metabolism, Sheffield, United Kingdom (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262)
5 Imperial College London, Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, London, United Kingdom (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111)
6 University of Cambridge, Division of Trauma & Orthopaedic Surgery, Department of Surgery, Cambridge, United Kingdom (GRID:grid.5335.0) (ISNI:0000000121885934)
7 University of Sheffield, Department of Oncology and Metabolism, Sheffield, United Kingdom (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262); University of Sheffield, Centre for Integrated Research into Musculoskeletal Ageing and Sheffield Healthy Lifespan Institute, Sheffield, United Kingdom (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262)
8 Helmholtz Zentrum München – German Research Center for Environmental Health, Institute of Translational Genomics, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525); Wellcome Sanger Institute, Hinxton, United Kingdom (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382); TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, Munich, Germany (GRID:grid.15474.33) (ISNI:0000 0004 0477 2438)