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

Research output: Contribution to journalArticle

  • arcOGEN Consortium
Original languageEnglish
Pages (from-to)230-236
Number of pages7
JournalNature Genetics
Volume51
Issue number2
Early online date21 Jan 2019
DOIs
DateAccepted/In press - 4 Dec 2018
DateE-pub ahead of print - 21 Jan 2019
DatePublished (current) - 1 Feb 2019

Abstract

Osteoarthritis is the most common musculoskeletal disease and the leading cause of disability globally. Here, we performed a genome-wide association study for osteoarthritis (77,052 cases and 378,169 controls), analyzing four phenotypes: knee osteoarthritis, hip osteoarthritis, knee and/or hip osteoarthritis, and any osteoarthritis. We discovered 64 signals, 52 of them novel, more than doubling the number of established disease loci. Six signals fine-mapped to a single variant. We identified putative effector genes by integrating expression quantitative trait loci (eQTL) colocalization, fine-mapping, and human rare-disease, animal-model, and osteoarthritis tissue expression data. We found enrichment for genes underlying monogenic forms of bone development diseases, and for the collagen formation and extracellular matrix organization biological pathways. Ten of the likely effector genes, including TGFB1 (transforming growth factor beta 1), FGF18 (fibroblast growth factor 18), CTSK (cathepsin K), and IL11 (interleukin 11), have therapeutics approved or in clinical trials, with mechanisms of action supportive of evaluation for efficacy in osteoarthritis.

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer Nature at https://www.nature.com/articles/s41588-018-0327-1 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1 MB, PDF document

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