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Translational genomics of osteoarthritis in 1,962,069 individuals

Title: Translational genomics of osteoarthritis in 1,962,069 individuals
Authors: Hatzikotoulas, K.; Southam, L.; Stefansdottir, L.; Boer, C.G.; McDonald, M.-L.; Pett, J.P.; Park, Y.-C.; Tuerlings, M.; Mulders, R.; Barysenka, A.; Arruda, A.L.; Tragante, V.; Rocco, A.; Bittner, N.; Chen, S.; Horn, S.; Srinivasasainagendra, V.; To, K.; Katsoula, G.; Kreitmaier, P.; Tenghe, A.M.M.; Gilly, A.; Arbeeva, L.; Chen, L.G.; de Pins, A.M.; Dochtermann, D.; Henkel, C.; Höijer, J.; Ito, S.; Lind, P.A.; Lukusa-Sawalena, B.; Minn, A.K.K.; Mola-Caminal, M.; Narita, A.; Nguyen, C.; Reimann, E.; Silberstein, M.D.; Skogholt, A.-H.; Tiwari, H.K.; Yau, M.S.; Yue, M.; Zhao, W.; Zhou, J.J.; Alexiadis, G.; Banasik, K.; Brunak, S.; Campbell, A.; Cheung, J.T.S.; Dowsett, J.; Faquih, T.; Faul, J.D.; Fei, L.; Fenstad, A.M.; Funayama, T.; Gabrielsen, M.E.; Gocho, C.; Gromov, K.; Hansen, T.; Hudjashov, G.; Ingvarsson, T.; Johnson, J.S.; Jonsson, H.; Kakehi, S.; Karjalainen, J.; Kasbohm, E.; Lemmelä, S.; Lin, K.; Liu, X.; Loef, M.; Mangino, M.; McCartney, D.; Millwood, I.Y.; Richman, J.; Roberts, M.B.; Ryan, K.A.; Samartzis, D.; Shivakumar, M.; Skou, S.T.; Sugimoto, S.; Suzuki, K.; Takuwa, H.; Teder-Laving, M.; Thomas, L.; Tomizuka, K.; Turman, C.; Weiss, S.; Wu, T.T.; Zengini, E.; Zhang, Y.; Babis, G.; van Heel, D.A.; Winsvold, B.; Gabrielsen, M.; Ferreira, M.A.R.; Baras, A.; Barker, T.; Carey, D.J.; Cheah, K.S.E.; Chen, Z.; Cheung, J.P.-Y.; Daly, M.; de Mutsert, R.; Eaton, C.B.; Erikstrup, C.; Furnes, O.N.; Golightly, Y.M.; Gudbjartsson, D.F.; Hailer, N.P.; Hayward, C.; Hochberg, M.C.; Homuth, G.; Huckins, L.M.; Hveem, K.; Ikegawa, S.; Ishijima, M.; Isomura, M.; Jones, M.; Kang, J.H.; Kardia, S.L.R.; Kloppenburg, M.; Kraft, P.; Kumahashi, N.; Kuwata, S.; Lee, M.T.M.; Lee, P.H.; Lerner, R.; Li, L.; Lietman, S.A.; Lotta, L.; Lupton, M.K.; Mägi, R.; Martin, N.G.; McAlindon, T.E.; Medland, S.E.; Michaëlsson, K.; Mitchell, B.D.; Mook-Kanamori, D.O.; Morris, A.P.; Nabika, T.; Nagami, F.; Nelson, A.E.; Ostrowski, S.R.; Palotie, A.; Pedersen, O.B.; Rosendaal, F.R.; Sakurai-Yageta, M.; Schmidt, C.O.; Sham, P.C.; Singh, J.A.; Smelser, D.T.; Smith, J.A.; Song, Y.-Q.; Sørensen, E.; Tamiya, G.; Tamura, Y.; Terao, C.; Thorleifsson, G.; Troelsen, A.; Tsezou, A.; Uchio, Y.; Uitterlinden, A.G.; Ullum, H.; Valdes, A.M.; Walters, R.G.; Weir, D.R.; Wilkinson, J.M.; Winsvold, B.S.; Yamamoto, M.; Zwart, J.-A.; Stefansson, K.; Meulenbelt, I.; Teichmann, S.A.; van Meurs, J.B.J.; Styrkarsdottir, U.; Zeggini, E.
Publisher Information: Springer Science and Business Media LLC
Publication Year: 2025
Collection: White Rose Research Online (Universities of Leeds, Sheffield & York)
Description: Osteoarthritis is the third most rapidly growing health condition associated with disability, after dementia and diabetes1. By 2050, the total number of patients with osteoarthritis is estimated to reach 1 billion worldwide2. As no disease-modifying treatments exist for osteoarthritis, a better understanding of disease aetiopathology is urgently needed. Here we perform a genome-wide association study meta-analyses across up to 489,975 cases and 1,472,094 controls, establishing 962 independent associations, 513 of which have not been previously reported. Using single-cell multiomics data, we identify signal enrichment in embryonic skeletal development pathways. We integrate orthogonal lines of evidence, including transcriptome, proteome and epigenome profiles of primary joint tissues, and implicate 700 effector genes. Within these, we find rare coding-variant burden associations with effect sizes that are consistently higher than common frequency variant associations. We highlight eight biological processes in which we find convergent involvement of multiple effector genes, including the circadian clock, glial-cell-related processes and pathways with an established role in osteoarthritis (TGFβ, FGF, WNT, BMP and retinoic acid signalling, and extracellular matrix organization). We find that 10% of the effector genes express a protein that is the target of approved drugs, offering repurposing opportunities, which can accelerate translation.
Document Type: article in journal/newspaper
File Description: text
Language: English
ISSN: 0028-0836
Relation: https://eprints.whiterose.ac.uk/id/eprint/225424/1/Nature%20s41586-025-08771-z.pdf; Hatzikotoulas, K. orcid.org/0000-0002-4699-3672 , Southam, L., Stefansdottir, L. et al. (174 more authors) (2025) Translational genomics of osteoarthritis in 1,962,069 individuals. Nature, 641 (8065). pp. 1217-1224. ISSN: 0028-0836
Availability: https://eprints.whiterose.ac.uk/id/eprint/225424/
Rights: cc_by_4
Accession Number: edsbas.DDBA4D57
Database: BASE