ArticleNature communications2026
Multivariate genetic analysis reveals three distinct pathological dimensions in musculoskeletal disorders.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Human hip osteoarthritis-associatedbioRxiv : the preprint server for biology · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
The substantial overlap in symptoms and pathology across musculoskeletal disorders underscores the need to investigate their shared genetic mechanism. Using multivariate genetic modeling, we identify three distinct pathological factors, including a degenerative musculoskeletal disorder factor, a bone mass factor, and an autoimmune disorder factor, which collectively explain 48.27% of the total genetic variance in musculoskeletal disorders. Genome-wide association analyses of these factors identify 795 genomic risk loci, 136 of which are novel, along with 273 candidate genes, 20 of which interact with existing drugs. All three factors exhibit significant heritability and polygenic architecture, while showing low genetic correlations and little overlap in associated loci. Polygenic enrichment analyses demonstrate the potential roles of brain-joint neural axis underlying the degenerative musculoskeletal disorder factor, which is highly enriched in mouse embryonic brain tissue (P = 1.12 × 10
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Registered trials
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