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Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis
AIMS: Degenerative 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. METHOD...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Editorial Society of Bone & Joint Surgery
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872045/ https://www.ncbi.nlm.nih.gov/pubmed/36660900 http://dx.doi.org/10.1302/2046-3758.121.BJR-2022-0225.R1 |
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author | Xu, Jiawen Si, Haibo Zeng, Yi Wu, Yuangang Zhang, Shaoyun Liu, Yuan Li, Mingyang Shen, Bin |
author_facet | Xu, Jiawen Si, Haibo Zeng, Yi Wu, Yuangang Zhang, Shaoyun Liu, Yuan Li, Mingyang Shen, Bin |
author_sort | Xu, Jiawen |
collection | PubMed |
description | AIMS: Degenerative 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. METHODS: Predicted 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. RESULTS: The TWAS detected 420 DCS genes with p < 0.05 in skeletal muscle, such as ribosomal protein S15A (RPS15A) (PTWAS = 0.001), and 110 genes in whole blood, such as selectin L (SELL) (PTWAS = 0.001). Comparison with the DCS RNA expression profile identified 12 common genes, including Apelin Receptor (APLNR) (PTWAS = 0.001, PDEG = 0.025). In total, 148 DCS-enriched Gene Ontology (GO) terms were identified, such as mast cell degranulation (GO:0043303); 15 DCS-enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified, such as the sphingolipid signalling pathway (ko04071). Nine terms, such as degradation of the extracellular matrix (R-HSA-1474228), were common to the TWAS enrichment results and the RNA expression profile. CONCLUSION: Our 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: Bone Joint Res 2023;12(1):80–90. |
format | Online Article Text |
id | pubmed-9872045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The British Editorial Society of Bone & Joint Surgery |
record_format | MEDLINE/PubMed |
spelling | pubmed-98720452023-02-03 Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis Xu, Jiawen Si, Haibo Zeng, Yi Wu, Yuangang Zhang, Shaoyun Liu, Yuan Li, Mingyang Shen, Bin Bone Joint Res Spine AIMS: Degenerative 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. METHODS: Predicted 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. RESULTS: The TWAS detected 420 DCS genes with p < 0.05 in skeletal muscle, such as ribosomal protein S15A (RPS15A) (PTWAS = 0.001), and 110 genes in whole blood, such as selectin L (SELL) (PTWAS = 0.001). Comparison with the DCS RNA expression profile identified 12 common genes, including Apelin Receptor (APLNR) (PTWAS = 0.001, PDEG = 0.025). In total, 148 DCS-enriched Gene Ontology (GO) terms were identified, such as mast cell degranulation (GO:0043303); 15 DCS-enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified, such as the sphingolipid signalling pathway (ko04071). Nine terms, such as degradation of the extracellular matrix (R-HSA-1474228), were common to the TWAS enrichment results and the RNA expression profile. CONCLUSION: Our 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: Bone Joint Res 2023;12(1):80–90. The British Editorial Society of Bone & Joint Surgery 2023-01-23 /pmc/articles/PMC9872045/ /pubmed/36660900 http://dx.doi.org/10.1302/2046-3758.121.BJR-2022-0225.R1 Text en © 2023 Author(s) et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND 4.0) licence, which permits the copying and redistribution of the work only, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Spine Xu, Jiawen Si, Haibo Zeng, Yi Wu, Yuangang Zhang, Shaoyun Liu, Yuan Li, Mingyang Shen, Bin Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
title | Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
title_full | Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
title_fullStr | Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
title_full_unstemmed | Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
title_short | Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
title_sort | transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis |
topic | Spine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872045/ https://www.ncbi.nlm.nih.gov/pubmed/36660900 http://dx.doi.org/10.1302/2046-3758.121.BJR-2022-0225.R1 |
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