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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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...
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Related Experiment Video

Updated: Jun 8, 2025

Author Spotlight: Treating Frozen Shoulder with Small Needle Knife Therapy
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Exploring Pathogenic Genes in Frozen Shoulder through weighted gene co-expression network analysis and Mendelian

Dusu Wen1, Bin Li1, Shun Guo1

  • 1Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.

International Journal of Medical Sciences
|November 8, 2024
PubMed
Summary
This summary is machine-generated.

Genetic factors like ADAMTS1, NR4A2, PARD6G, and SMKR1 may increase frozen shoulder risk. Identifying these genes aids understanding and potential treatments for this joint capsule condition.

Keywords:
differentially expressed genesfrozen shoulderimmune cell infiltrationmendelian randomizationweighted gene co-expression network analysis

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Area of Science:

  • Genetics and Molecular Biology
  • Immunology
  • Orthopedics

Background:

  • Frozen shoulder (FS) involves joint capsule thickening and fibrosis, leading to contracture and reduced joint volume.
  • The exact causes of these pathological changes in FS remain unclear.

Purpose of the Study:

  • To investigate the potential involvement of pathogenic genes in frozen shoulder.
  • To analyze the roles of these genes in FS disease progression.
  • To identify key genes causally linked to FS.

Main Methods:

  • Differential gene expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA) identified co-expressed genes.
  • Mendelian randomization (MR) analysis, using expression quantitative trait loci (eQTL) and GWAS data, identified causal genes.
  • RT-qPCR validated key genes; nomogram and ROC curves assessed diagnostic value; CIBERSORT analyzed immune cell infiltration.

Main Results:

  • 295 overlapping co-expressed genes were identified.
  • Four genes (ADAMTS1, NR4A2, PARD6G, SMKR1) showed a positive causal relationship with FS, confirmed by RT-qPCR.
  • A nomogram model and ROC curves indicated diagnostic value; ADAMTS1 was linked to immune cell infiltration in FS.

Conclusions:

  • Higher expression levels of ADAMTS1, NR4A2, PARD6G, and SMKR1 are associated with increased frozen shoulder risk.
  • These findings suggest a genetic predisposition to FS.
  • Further research into these genes' functions could lead to targeted FS treatments.