Multi-layered functional genomics prioritizes candidate effectors and regulatory mechanisms of ankylosing spondylitis - Report - MDSpire

Multi-layered functional genomics prioritizes candidate effectors and regulatory mechanisms of ankylosing spondylitis

  • By

  • Fanyu Meng

  • Ling Chen

  • Meng Li

  • Qingqing Zhang

  • Peiying Wang

  • Ruifeng Lin

  • Jiani Liu

  • Zhao Yuan

  • Kexin Chen

  • Zhaoxia Li

  • Yetong Xie

  • Abuduwahapu Aierken

  • Furkat Yalkun

  • Chulan Li

  • Yuan Ma

  • Jianhui Chen

  • Ziwen Xu

  • Fei Zhong

  • June 1, 2026

  • 0 min

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Clinical Report: Prioritization of Candidate Effectors in Ankylosing Spondylitis

Overview

This study identifies 30 genome-wide significant loci associated with ankylosing spondylitis (AS) through a meta-analysis of over 7,500 cases. It prioritizes 64 causal-candidate genes and highlights the need for further experimental validation of these findings.

Background

Ankylosing spondylitis is a chronic inflammatory disease with a high heritability rate, yet the genetic factors contributing to its pathogenesis remain largely undefined. Understanding the genetic architecture beyond the HLA-B*27 association is crucial for developing targeted therapies and improving patient outcomes. This study employs advanced genomic techniques to elucidate the underlying mechanisms of AS.

Data Highlights

MetricValue
Genome-wide significant loci30
Significant variants26,178
Lambda GC1.09
LDSC intercept1.045 (SE = 0.009)
Attenuation ratio0.365 (SE = 0.075)

Key Findings

  • Identified 30 genome-wide significant loci associated with AS.
  • Prioritized 64 causal-candidate genes with a posterior inclusion probability > 0.5.
  • Gene expression accounted for 19.5% of AS heritability.
  • Seven genes showed convergent evidence from cTWAS and colocalization.
  • Cross-trait LDSC revealed positive genetic correlations with inflammatory bowel disease and psoriasis.
  • Functional studies indicated TBKBP1 and XCL1 as significant in Jurkat T cells.

Clinical Implications

The findings underscore the importance of integrating genomic data to identify potential therapeutic targets in AS. Clinicians should consider these candidate genes in future research and therapeutic strategies, as they may inform personalized treatment approaches.

Conclusion

This study enhances our understanding of the genetic landscape of ankylosing spondylitis and sets the stage for future experimental validation of identified candidate genes and regulatory pathways.

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  10. ASAS consensus definition of early axial spondyloarthritis - ScienceDirect
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  12. Efficacy and Safety of Interleukin-17 and Janus Kinase Inhibitors in Ankylosing Spondylitis: A Systematic Review and Network Meta-Analysis - PubMed
  13. Risk of new-onset and recurrent uveitis with different biologics for ankylosing spondylitis: a network meta-analysis - PubMed
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