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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
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.
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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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