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Kreitmaier, P. ; Suderman, M.* ; Southam, L. ; Coutinho de Almeida, R.* ; Hatzikotoulas, K. ; Meulenbelt, I.* ; Steinberg, J. ; Relton, C.L.* ; Wilkinson, J.M.* ; Zeggini, E.

An epigenome-wide view of osteoarthritis in primary tissues.

Am. J. Hum. Genet. 109, 1255-1271 (2022)
Postprint Forschungsdaten DOI PMC
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Osteoarthritis is a complex degenerative joint disease. Here, we investigate matched genotype and methylation profiles of primary chondrocytes from macroscopically intact (low-grade) and degraded (high-grade) osteoarthritis cartilage and from synoviocytes collected from 98 osteoarthritis-affected individuals undergoing knee replacement surgery. We perform an epigenome-wide association study of knee cartilage degeneration and report robustly replicating methylation markers, which reveal an etiologic mechanism linked to the migration of epithelial cells. Using machine learning, we derive methylation models of cartilage degeneration, which we validate with 82% accuracy in independent data. We report a genome-wide methylation quantitative trait locus (mQTL) map of articular cartilage and synovium and identify 18 disease-grade-specific mQTLs in osteoarthritis cartilage. We resolve osteoarthritis GWAS loci through causal inference and colocalization analyses and decipher the epigenetic mechanisms that mediate the effect of genotype on disease risk. Together, our findings provide enhanced insights into epigenetic mechanisms underlying osteoarthritis in primary tissues.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Dna Methylation ; Ewas ; Cartilage ; Chondrocyte ; Machine Learning ; Methylation Qtl ; Osteoarthritis ; Synoviocyte ; Synovium
ISSN (print) / ISBN 0002-9297
e-ISSN 1537-6605
Quellenangaben Band: 109, Heft: 7, Seiten: 1255-1271 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort New York, NY
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Translational Genomics (ITG)
Förderungen Wellcome Trust