Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 62,232 bioRxiv papers from 276,305 authors.
Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank
Jeremy M. Wilkinson,
Laura Yerges Armstrong,
George Davey Smith,
Tom R Gaunt,
Robert A Scott,
Linda C McCarthy,
Posted 25 Oct 2018
bioRxiv DOI: 10.1101/453530 (published DOI: 10.1038/s41588-018-0327-1)
Posted 25 Oct 2018
Osteoarthritis is the most common musculoskeletal disease and the leading cause of disability globally. Here, we perform the largest genome-wide association study for osteoarthritis to date (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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