ArticleBone & joint research2023
Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis.
Article in Bone & joint research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Quantitative evaluation of cervical muscles in patients with degenerative cervical myelopathy using diffusion tensor imaging metrics.Bone & joint research · 2026Article
- Apelin: A Promising Therapeutic Target for Degenerative Diseases of the Musculoskeletal System.Aging and disease · 2025Review
- LGR6 modulates intervertebral disc degeneration through regulation of macrophage efferocytosis.Journal of translational medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsDegenerative cervical spondylosis (DCS) is a common musculoskeletal disease that encompasses a wide range of progressive degenerative changes and affects all components of the cervical spine. DCS imposes very large social and economic burdens. However, its genetic basis remains elusive.
methodsPredicted whole-blood and skeletal muscle gene expression and genome-wide association study (GWAS) data from a DCS database were integrated, and functional summary-based imputation (FUSION) software was used on the integrated data. A transcriptome-wide association study (TWAS) was conducted using FUSION software to assess the association between predicted gene expression and DCS risk. The TWAS-identified genes were verified via comparison with differentially expressed genes (DEGs) in DCS RNA expression profiles in the Gene Expression Omnibus (GEO) (Accession Number: GSE153761). The Functional Mapping and Annotation (FUMA) tool for genome-wide association studies and Meta tools were used for gene functional enrichment and annotation analysis.
resultsThe TWAS detected 420 DCS genes with p < 0.05 in skeletal muscle, such as ribosomal protein S15A (
conclusionOur results identify putative susceptibility genes; these findings provide new ideas for exploration of the genetic mechanism of DCS development and new targets for preclinical intervention and clinical treatment.Cite this article:
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