ArticleJournal of translational medicine2025
Genomic structural equation modeling decodes skeletal aging: novel loci discovery and multisystem genetic crosstalk.
Article in Journal of translational medicine, 2025. 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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Mapping the genetic landscape of suicide risk: Insights from genomic SEM.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
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Authors and funding
11 authors.
Funding
Abstract
objectiveSkeletal aging, a core determinant of systemic aging, poses a global public health challenge due to its association with chronic diseases and functional decline. This study aimed to decode the genetic architecture of skeletal aging by identifying novel loci and multi-system crosstalk using genomic structural equation modeling (Genomic SEM).
methodsWe integrated genome-wide association study (GWAS) data from five musculoskeletal-related traits (osteoporosis [OP], osteoarthritis [OA], lumbar spinal stenosis [LSS], telomere length [TL], and low back pain [LBP]) across 462,933 to 472,174 European individuals. Genomic SEM, FUMA, FUSION, and fine-mapping tools (SuSIE/FINEMAP) were applied to model latent skeletal aging ("mvSAge") and identify causal variants, enriched pathways, and tissue-specific gene expression.
resultsThe latent factor model (CFI = 0.993, SRMR = 0.065) revealed shared genetic architecture among OP, OA, LSS, TL, and LBP. We identified 514 lead SNPs (P < 5 × 10⁻
conclusionThis study establishes mvSAge as a genetically cohesive construct and uncovers novel loci, pathways, and multi-system interactions underlying skeletal aging. These findings advance precision medicine strategies for aging-related musculoskeletal disorders.
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Registered trials
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