Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations
| العنوان: | Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations |
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| المؤلفون: | Cindy G. Boer, Konstantinos Hatzikotoulas, 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 Bjornsdottir, Maiken 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, George C. Babis, Jason Pui Yin Cheung, Jae Hee Kang, Peter Kraft, Steven A. Lietman, Dino Samartzis, P. Eline Slagboom, Kari Stefansson, Unnur Thorsteinsdottir, Jonathan H. Tobias, André G. Uitterlinden, Bendik Winsvold, John-Anker Zwart, George Davey Smith, Pak Chung Sham, Gudmar Thorleifsson, Tom R. Gaunt, Andrew P. Morris, Ana M. Valdes, Aspasia Tsezou, Kathryn S.E. Cheah, Shiro Ikegawa, Kristian Hveem, Tõnu Esko, J. Mark Wilkinson, Ingrid Meulenbelt, Ming Ta Michael Lee, Joyce B.J. van Meurs, Unnur Styrkársdóttir, Eleftheria Zeggini, 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, Egil Andreas Fors, Ingunn Mundal, Knut Hagen, Kristian Bernhard Nilsen, Marie Udnesseter Lie, Sigrid Børte, Ben Brumpton, Jonas Bille Nielsen, Lars G. Fritsche, Wei Zhou, Ingrid Heuch, Kjersti Storheim, Evangelos Tyrpenou, Athanasios Koukakis, Dimitrios Chytas, Dimitrios Stergios Evangelopoulos, Chronopoulos Efstathios, Spiros Pneumaticos, Vasileios S. Nikolaou, Konstantinos Malizos, Lydia Anastasopoulou, Goncalo Abecasis, Aris Baras, Michael Cantor, Giovanni Coppola, Andrew Deubler, Aris Economides, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Katia Karalis, Katherine Siminovitch, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Xiaodong Bai, Suganthi Balasubramanian, Boris Boutkov, Gisu Eom, Lukas Habegger, Alicia Hawes, Olga Krasheninina, Rouel Lanche, Adam J. Mansfield, Evan K. Maxwell, Mona Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C. Staples, Dadong Li, Deepika Sharma, Ilanjana Banerjee, Jonas Bovijn, Adam Locke, Niek Verweij, Mary Haas, George Hindy, Tanima De, Parsa Akbari, Olukayode Sosina, Manuel A.R. Ferreira, Marcus B. Jones, Jason Mighty, Michelle G. LeBlanc, Lyndon J. Mitnaul |
| المساهمون: | Internal Medicine |
| المصدر: | Cell Cell 184, 4784-4818.e17 (2021) Cell, 184(18), 4784-4818. CELL PRESS Cell, 184(18), 4784-4818.e17. Cell Press Boer, C G, Hatzikotoulas, K, Southam, L, Stefansdottir, L, Zhang, Y, Coutinho de Almeida, R, wu, T T, Zhang, J, Hartley, A E, Teder-Laving, M, Skogholt, A H, Terao, C, Zengini, E, Alexiadis, G, Barysenka, A, Bjornsdottir, G, Gabrielsen, M, Gilly, A, Ingvarsson, T, Johnsen, M B, Jonsson, H, Kloppenburg, M, Luetge, A, Lund, S H, Mägi, R, Mangino, M, Nelissen, R, Shivakumar, M, Steinberg, J, Takuwa, H, Thomas, L, Tuerlings, M, Babis, G C, Pui Yin Cheung, J, Kang, J H, Kraft, P, Lietman, S A, Samartzis, D, Slagboom, E, Stefansson, K, Thorsteinsdottir, U, Tobias, J H, Uitterlinden, A G, Winsvold, B S, Zwart, J-A, Davey Smith, G, Sham, P C, Thorleifsson, G, Gaunt, T R, Morris, A, Valdes, A M, Tsezou, A, S.E. Cheah, K, Ikegawa, S, Hveem, K, Esko, T, Wilkinson, J M, Meulenbelt, I, Ta Michael Lee, M, van Meurs, J B J, Styrkarsdottir, U & Zeggini, E 2021, ' Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations ', Cell, vol. 184, no. 18, pp. 4784-4818.e17 . https://doi.org/10.1016/j.cell.2021.07.038Test |
| بيانات النشر: | Cell Press, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Resource, genome-wide association meta-analysis, Disease, Osteoarthritis, effector genes, Biology, Bioinformatics, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Drug Targets, Effector Genes, Functional Genomics, Genetic Architecture, Genome-wide Association Meta-analysis, Spine osteoarthritis, Risk Factors, drug targets, medicine, Humans, Genetic Predisposition to Disease, Sex Characteristics, Cartilage, Correction, medicine.disease, Phenotype, genetic architecture, Genetic architecture, ddc, osteoarthritis, Genetics, Population, medicine.anatomical_structure, Subchondral bone, Female, Functional genomics, functional genomics, Genome-Wide Association Study, Signal Transduction |
| الوصف: | Summary 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. Graphical abstract Highlights • A multicohort study identifies 52 previously unknown osteoarthritis genetic risk variants • Similarities and differences in osteoarthritis genetic risk depend on joint sites • Osteoarthritis genetic components are associated with pain-related phenotypes • High-confidence effector genes highlight potential targets for drug intervention A multicohort genome-wide association meta-analysis of osteoarthritis highlights the impact of joint site types on the features of genetic risk variants and the link between osteoarthritis genetics and pain-related phenotypes, pointing toward potential targets for therapeutic intervention. |
| وصف الملف: | application/pdf |
| تدمد: | 0092-8674 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2107ed7b2af740104437a8ef894bb702Test http://hdl.handle.net/10852/89014Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....2107ed7b2af740104437a8ef894bb702 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00928674 |
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