dc.contributor.author | Steinberg, J | |
dc.contributor.author | Southam, L | |
dc.contributor.author | Roumeliotis, TI | |
dc.contributor.author | Clark, MJ | |
dc.contributor.author | Jayasuriya, RL | |
dc.contributor.author | Swift, D | |
dc.contributor.author | Shah, KM | |
dc.contributor.author | Butterfield, NC | |
dc.contributor.author | Brooks, RA | |
dc.contributor.author | McCaskie, AW | |
dc.contributor.author | Bassett, JHD | |
dc.contributor.author | Williams, GR | |
dc.contributor.author | Choudhary, JS | |
dc.contributor.author | Wilkinson, JM | |
dc.contributor.author | Zeggini, E | |
dc.date.accessioned | 2021-03-31T13:37:32Z | |
dc.date.available | 2021-03-31T13:37:32Z | |
dc.date.issued | 2021-02-26 | |
dc.identifier.citation | Nature communications, 2021, 12 (1), pp. 1309 - ? | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/4481 | |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.doi | 10.1038/s41467-021-21593-7 | |
dc.description.abstract | Osteoarthritis causes pain and functional disability for over 500 million people worldwide. To develop disease-stratifying tools and modifying therapies, we need a better understanding of the molecular basis of the disease in relevant tissue and cell types. Here, we study primary cartilage and synovium from 115 patients with osteoarthritis to construct a deep molecular signature map of the disease. By integrating genetics with transcriptomics and proteomics, we discover molecular trait loci in each tissue type and omics level, identify likely effector genes for osteoarthritis-associated genetic signals and highlight high-value targets for drug development and repurposing. These findings provide insights into disease aetiopathology, and offer translational opportunities in response to the global clinical challenge of osteoarthritis. | |
dc.format | Electronic | |
dc.format.extent | 1309 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE PORTFOLIO | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Osteoarthritis | |
dc.subject | Genetic Predisposition to Disease | |
dc.subject | Transcription Factors | |
dc.subject | Gene Expression Profiling | |
dc.subject | Gene Expression Regulation | |
dc.subject | Phenotype | |
dc.subject | Quantitative Trait Loci | |
dc.subject | Genome-Wide Association Study | |
dc.subject | Transcriptome | |
dc.title | A molecular quantitative trait locus map for osteoarthritis. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2021-02-03 | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1038/s41467-021-21593-7 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2021-02-26 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Nature communications | |
pubs.issue | 1 | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR | |
pubs.publication-status | Published | |
pubs.volume | 12 | |
pubs.embargo.terms | Not known | |
dc.contributor.icrauthor | Roumeliotis, Theodoros | |
dc.contributor.icrauthor | Choudhary, Jyoti | |