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Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank
Osteoarthritis is the most common musculoskeletal disease and the leading cause of disability globally. Here, we perform a genome-wide association study for osteoarthritis (77,052 cases and 378,169 controls), analysing 4 phenotypes: knee osteoarthritis, hip osteoarthritis, knee and/or hip osteoarthr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400267/ https://www.ncbi.nlm.nih.gov/pubmed/30664745 http://dx.doi.org/10.1038/s41588-018-0327-1 |
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author | Tachmazidou, Ioanna Hatzikotoulas, Konstantinos Southam, Lorraine Esparza-Gordillo, Jorge Haberland, Valeriia Zheng, Jie Johnson, Toby Koprulu, Mine Zengini, Eleni Steinberg, Julia Wilkinson, Jeremy M Bhatnagar, Sahir Hoffman, Joshua D Buchan, Natalie Süveges, Dániel Yerges-Armstrong, Laura Smith, George Davey Gaunt, Tom R Scott, Robert A McCarthy, Linda C Zeggini, Eleftheria |
author_facet | Tachmazidou, Ioanna Hatzikotoulas, Konstantinos Southam, Lorraine Esparza-Gordillo, Jorge Haberland, Valeriia Zheng, Jie Johnson, Toby Koprulu, Mine Zengini, Eleni Steinberg, Julia Wilkinson, Jeremy M Bhatnagar, Sahir Hoffman, Joshua D Buchan, Natalie Süveges, Dániel Yerges-Armstrong, Laura Smith, George Davey Gaunt, Tom R Scott, Robert A McCarthy, Linda C Zeggini, Eleftheria |
author_sort | Tachmazidou, Ioanna |
collection | PubMed |
description | Osteoarthritis is the most common musculoskeletal disease and the leading cause of disability globally. Here, we perform a genome-wide association study for osteoarthritis (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. |
format | Online Article Text |
id | pubmed-6400267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-64002672019-07-21 Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank Tachmazidou, Ioanna Hatzikotoulas, Konstantinos Southam, Lorraine Esparza-Gordillo, Jorge Haberland, Valeriia Zheng, Jie Johnson, Toby Koprulu, Mine Zengini, Eleni Steinberg, Julia Wilkinson, Jeremy M Bhatnagar, Sahir Hoffman, Joshua D Buchan, Natalie Süveges, Dániel Yerges-Armstrong, Laura Smith, George Davey Gaunt, Tom R Scott, Robert A McCarthy, Linda C Zeggini, Eleftheria Nat Genet Article Osteoarthritis is the most common musculoskeletal disease and the leading cause of disability globally. Here, we perform a genome-wide association study for osteoarthritis (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. 2019-01-21 2019-02 /pmc/articles/PMC6400267/ /pubmed/30664745 http://dx.doi.org/10.1038/s41588-018-0327-1 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Tachmazidou, Ioanna Hatzikotoulas, Konstantinos Southam, Lorraine Esparza-Gordillo, Jorge Haberland, Valeriia Zheng, Jie Johnson, Toby Koprulu, Mine Zengini, Eleni Steinberg, Julia Wilkinson, Jeremy M Bhatnagar, Sahir Hoffman, Joshua D Buchan, Natalie Süveges, Dániel Yerges-Armstrong, Laura Smith, George Davey Gaunt, Tom R Scott, Robert A McCarthy, Linda C Zeggini, Eleftheria Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank |
title | Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank |
title_full | Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank |
title_fullStr | Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank |
title_full_unstemmed | Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank |
title_short | Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank |
title_sort | identification of new therapeutic targets for osteoarthritis through genome-wide analyses of uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400267/ https://www.ncbi.nlm.nih.gov/pubmed/30664745 http://dx.doi.org/10.1038/s41588-018-0327-1 |
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