The aim of this work is to apply an integrated systems approach to understand the biological underpinnings of large joint (hip and knee) osteoarthritis which culminates in the need for total joint replacement (TJR). We will obtain diseased and non-diseased cartilage as well as other disease-relevant tissue following TJR, coupled with a blood sample. We will generate genotype data and will characterise the pairs of diseased and non-diseased tissue samples in terms of methylation, transcription (RNASeq) and expression (quantitative proteomics). We will apply integrative approaches to combine information across the –omics levels to characterise genes, pathways, and networks that underlie osteoarthritis progression. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
- Type: Transcriptome Analysis
- Archiver: EGA European Genome-Phenome Archive
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
|EGAD00001005215||Illumina HiSeq 2500||210|
Accelerating functional gene discovery in osteoarthritis.
Nat Commun 12: 2021 467
A molecular quantitative trait locus map for osteoarthritis.
Nat Commun 12: 2021 1309
Linking chondrocyte and synovial transcriptional profile to clinical phenotype in osteoarthritis.
Ann Rheum Dis 80: 2021 1070-1074
A molecular map of long non-coding RNA expression, isoform switching and alternative splicing in osteoarthritis.
Hum Mol Genet 31: 2022 2090-2105