Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations

Cindy G. Boer, Konstantinos Hatzikotoulas, arcOGEN Consortium, HUNT All-In Pain, ARGO Consortium, Regeneron Genetics Center, Lorraine Southam, Lilja Stefánsdóttir, Yanfei Zhang, Rodrigo Coutinho de Almeida, Tian T. Wu, Jie Zheng, April Hartley, Maris Teder-Laving, Anne Heidi Skogholt, Chikashi Terao, Eleni Zengini, George Alexiadis, Andrei Barysenka, Gyda BjornsdottirMaiken E. Gabrielsen, Arthur Gilly, Thorvaldur Ingvarsson, Marianne B. Johnsen, Helgi Jonsson, Margreet Kloppenburg, Almut Luetge, Sigrun H. Lund, Reedik Mägi, Massimo Mangino, Rob R.G.H.H. Nelissen, Manu Shivakumar, Julia Steinberg, Hiroshi Takuwa, Laurent F. Thomas, Margo Tuerlings, John Loughlin, Nigel Arden, Fraser Birrell, Andrew Carr, Panos Deloukas, Michael Doherty, Andrew W. McCaskie, William E.R. Ollier, Ashok Rai, Stuart H. Ralston, Tim D. Spector, Gillian A. Wallis, Amy E. Martinsen, Cristen Willer, Niek Verweij, Peter Kraft, André G. Uitterlinden, Joyce B.J. van Meurs, U Styrkarsdottir, E Zeggini

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Abstract

Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated risk variants across 11 osteoarthritis phenotypes, 52 of which have not been associated with the disease before. We report thumb and spine osteoarthritis risk variants and identify differences in genetic effects between weight-bearing and non-weight-bearing joints. We identify sex-specific and early age-at-onset osteoarthritis risk loci. We integrate functional genomics data from primary patient tissues (including articular cartilage, subchondral bone, and osteophytic cartilage) and identify high-confidence effector genes. We provide evidence for genetic correlation with phenotypes related to pain, the main disease symptom, and identify likely causal genes linked to neuronal processes. Our results provide insights into key molecular players in disease processes and highlight attractive drug targets to accelerate translation.

Original languageEnglish
Pages (from-to)4784-4818.e17
JournalCell
Volume184
Issue number18
Early online date26 Aug 2021
DOIs
Publication statusPublished - 2 Sept 2021

Bibliographical note

Funding Information:
T.R.G. and J.Z. receive research funding from GlaxoSmithKline. T.R.G. receives research funding from Biogen. U.S., K.S., L. Stefánsdóttir, G.B., S.H.L., U.T., and G. T. are employed by deCODE genetics/Amgen Inc. A.M.V. is a consultant for Zoe Global Ltd. All other authors report no competing interests. All Regeneron Genetics Center banner authors are current employees and/or stockholders of Regeneron Pharmaceuticals.

Funding Information:
We thank Nigel W. Rayner and Ahmed Elhakeem for their input. This research was conducted using the UK Biobank Resource under application numbers 9979 and 23359. G.D.S. and T.R.G. work in the Medical Research Council Integrative Epidemiology Unit at the University of Bristol MC_UU_00011/1&4. A.M.V. is funded by the NIHR Nottingham BRC. J.Z. is funded by a Vice-Chancellor Fellowship from the University of Bristol. This research was also funded by the UK Medical Research Council Integrative Epidemiology Unit (MC_UU_00011/4). Study design and project coordination, E. Zeggini; Writing Group, U.S. J.B.J.v.M. J.M.W. M.T.M.L. K.S.E.C. L.S. C.G.B. K.H. Y.Z. R.C.d.A. L. Stef?nsd?ttir, E. Zeggini, A.P.M. G.T. P.C.S. J.Z. and T.R.G.; Core Analyses, C.G.B. K. Hatzikotoulas, L. Southam, L. Stef?nsd?ttir, Y.Z. R.C.d.A. T.T.W. J.Z. A.H. M.T.-L. and J.M.W.; Individual Study Design and Principal Investigators, E. Zeggini, U.S. J.B.J.v.M. M.T.M.L. I.M. J.M.W. T.E. K. Hveem, S.I. K.S.E.C. A.T. A.M.V. K.S. P.E.S. P.C. G.D.S. J.H.T. T.R.G. S.A.L. G.C.B. A.G.U. U.T. P.K. J.H.K. arcOGEN Consortium, HUNT All-In Pain, ARGO Consortium, and Regeneron Genetics Center; Analyses, Genotyping, and Phenotyping in Individual Studies, C.G.B. K.H. L. Southam, J.M.W. L. Stef?nsd?ttir, Y.Z. R.C.d.A. T.T.W. J.Z. A.H. M.T.-L. A.H.S. C.T. E. Zengini, A.B. G.T. G.B. H.J. T.I. R.M. H.T. M.K. M.T. R.R.G.H.H.N. M.M. J.P.Y.C. D.S. J.-A.Z. A.L. M.B.J. L.F.T. B.W. M.E.G. J.S. M.S. G.A. A.G. S.H.L. arcOGEN Consortium, HUNT All-In Pain, ARGO Consortium, and Regeneron Genetics Center. All authors contributed to the final version of the manuscript. T.R.G. and J.Z. receive research funding from GlaxoSmithKline. T.R.G. receives research funding from Biogen. U.S. K.S. L. Stef?nsd?ttir, G.B. S.H.L. U.T. and G. T. are employed by deCODE genetics/Amgen Inc. A.M.V. is a consultant for Zoe Global Ltd. All other authors report no competing interests. All Regeneron Genetics Center banner authors are current employees and/or stockholders of Regeneron Pharmaceuticals.

Funding Information:
We thank Nigel W. Rayner and Ahmed Elhakeem for their input. This research was conducted using the UK Biobank Resource under application numbers 9979 and 23359. G.D.S. and T.R.G. work in the Medical Research Council Integrative Epidemiology Unit at the University of Bristol MC_UU_00011/1&4. A.M.V. is funded by the NIHR Nottingham BRC . J.Z. is funded by a Vice-Chancellor Fellowship from the University of Bristol . This research was also funded by the UK Medical Research Council Integrative Epidemiology Unit ( MC_UU_00011/4 ).

Publisher Copyright:
© 2021 The Authors

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