Related Experiment Video
Updated: Jul 25, 2025

05:17
Author Spotlight: Scope of LE-ULBD as a Safe, Effective, and Minimally Invasive Approach to Treat Lumbar Spinal Stenosis
Published on: February 9, 2024
666
Transcriptome-wide association study reveals candidate causal genes for lumbar spinal stenosis
Jiawen Xu1, Haibo Si1, Yi Zeng1
1Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China.
Bone & Joint Research
|June 25, 2023
Summary
This study used transcriptome-wide association studies to identify genes associated with lumbar spinal stenosis (LSS). Findings may help in early diagnosis and treatment of this common skeletal disease.
Area of Science:
- Genetics
- Skeletal Biology
- Bioinformatics
Background:
- Lumbar spinal stenosis (LSS) is a prevalent skeletal disease with a suspected genetic component.
- Current understanding of the genetic basis of LSS and its pathological changes is limited, hindering early diagnosis and treatment.
- Genetic variations are implicated in LSS, but their direct correlation with pathological changes requires further elucidation.
Purpose of the Study:
- To investigate the genetic underpinnings of lumbar spinal stenosis (LSS) using a transcriptome-wide association study (TWAS).
- To identify candidate genes associated with LSS by integrating genome-wide association study (GWAS) data with gene expression profiles.
- To explore potential genetic mechanisms contributing to LSS pathology for improved diagnostic and therapeutic strategies.
Main Methods:
- Performed a transcriptome-wide association study (TWAS) integrating GWAS summary statistics from Biobank Japan with gene expression data from skeletal muscle and whole blood.
- Validated TWAS findings by comparing candidate genes with messenger RNA (mRNA) expression profiles in LSS patients to identify common genes.
- Utilized Metascape software for enrichment analysis of candidate and common genes to understand associated biological pathways.
Main Results:
- TWAS identified 295 significant genes in skeletal muscle and 79 in whole blood associated with LSS.
- Enrichment analysis revealed associations with 112 gene ontology (GO) terms and five Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
- Eighteen overlapping genes, including IL15RA, and 71 common GO terms, such as negative regulation of cell differentiation, were identified between TWAS and mRNA expression profiles.
Conclusions:
- This study elucidates the genetic mechanisms contributing to the pathological changes observed in lumbar spinal stenosis (LSS).
- The identified genetic factors and pathways offer potential targets for novel diagnostic markers and therapeutic interventions for LSS.
- Findings provide a foundation for understanding the genetic basis of LSS and may guide future research in early detection and management.
Related Concept Videos
Genome-wide Association Studies-GWAS
13.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.6K
Single Nucleotide Polymorphisms-SNPs
15.3K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.3K
lncRNA - Long Non-coding RNAs
8.7K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.7K
