Language
English
Publication Date
5-1-2025
Journal
Nature
DOI
10.1038/s41586-025-08771-z
PMID
40205036
PMCID
PMC12119359
PubMedCentral® Posted Date
4-9-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Osteoarthritis is the third most rapidly growing health condition associated with disability, after dementia and diabetes1. By 2050, the total number of patients with osteoarthritis is estimated to reach 1 billion worldwide2. As no disease-modifying treatments exist for osteoarthritis, a better understanding of disease aetiopathology is urgently needed. Here we perform a genome-wide association study meta-analyses across up to 489,975 cases and 1,472,094 controls, establishing 962 independent associations, 513 of which have not been previously reported. Using single-cell multiomics data, we identify signal enrichment in embryonic skeletal development pathways. We integrate orthogonal lines of evidence, including transcriptome, proteome and epigenome profiles of primary joint tissues, and implicate 700 effector genes. Within these, we find rare coding-variant burden associations with effect sizes that are consistently higher than common frequency variant associations. We highlight eight biological processes in which we find convergent involvement of multiple effector genes, including the circadian clock, glial-cell-related processes and pathways with an established role in osteoarthritis (TGFβ, FGF, WNT, BMP and retinoic acid signalling, and extracellular matrix organization). We find that 10% of the effector genes express a protein that is the target of approved drugs, offering repurposing opportunities, which can accelerate translation.
Keywords
Humans, Osteoarthritis, Genome-Wide Association Study, Genomics, Translational Research, Biomedical, Transcriptome, Male, Female, Case-Control Studies, Single-Cell Analysis, Signal Transduction, Neuroglia, Epigenome, Proteome, Osteoarthritis, Genome-wide association studies, Genomics, Functional genomics, Translational research
Published Open-Access
yes
Recommended Citation
Hatzikotoulas, Konstantinos; Southam, Lorraine; Stefansdottir, Lilja; et al., "Translational Genomics of Osteoarthritis in 1,962,069 Individuals" (2025). Faculty and Staff Publications. 4081.
https://digitalcommons.library.tmc.edu/baylor_docs/4081