Nature GeneticsGeneticsPeer-reviewed journal article
Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank
Ioanna TachmazidouiD, Konstantinos HatzikotoulasiD, Lorraine SouthamiD, Jorge Esparza-Gordillo, Valeriia HaberlandiD, Jie ZhengiD, Toby JohnsoniD, Mine KopruluiD, Eleni Zengini, Julia SteinbergiD, Jeremy Mark WilkinsoniD, Sahir BhatnagariD, Joshua HoffmaniD, Natalie S. Buchan, Dániel SüvegesiD, Laura M. Yerges-ArmstrongiD, George Davey SmithiD, Tom R. GauntiD, Robert A. ScottiD, Linda C. McCarthy, Eleftheria ZegginiiD
Abstract
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.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- research focus: fine-mapping
- approach: statistical model
- Citations
- 517
- FWCI
- 41.68
- Field percentile
- top 1%
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