ArticleArthritis & rheumatology (Hoboken, N.J.)2024
Integration of Genetic and Clinical Risk Factors for Risk Classification of Uveitis in Patients With Juvenile Idiopathic Arthritis.
Article in Arthritis & rheumatology (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Efforts towards a precision medicine approach in juvenile idiopathic arthritis.Rheumatology (Oxford, England) · 2026Review
- Serological biomarkers of JIA-associated uveitis: ANA titers, ANA AC-30 staining pattern and prefoldin 5 antibodies.Arthritis research & therapy · 2026Article
- Anti-Cell Staining Patterns in Juvenile Idiopathic Arthritis-Associated Uveitis: A Peek Behind the Curtain.Journal of clinical medicine · 2026Article
- Novel advances in juvenile idiopathic arthritis associated uveitis.Arthritis research & therapy · 2026Review
- Altered B cell activation contributes to the immunopathogenesis of childhood arthritis-associated uveitis.Nature communications · 2026Article
- Multi-omics-driven biomarker discovery in autoimmune diseases: a comprehensive review.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectiveJuvenile idiopathic arthritis (JIA)-associated uveitis (JIAU) is a serious JIA comorbidity that can result in vision impairment. This study aimed to identify genetic risk factors within the major histocompatibility complex for JIAU and evaluate their contribution for improving risk classification when combined with clinical risk factors.
methodsData on single nucleotide polymorphisms, amino acids, and classical HLA alleles were available for 2,497 patients with JIA without uveitis and 579 patients with JIAU (female 2,060, male 1,015). Analysis was restricted to patients with inferred European ancestry. Forward conditional logistic regression identified genetic markers exceeding a Bonferroni-corrected significance (6 × 10
resultsThree genetic risk factors were identified, mapping to HLA-DRB1, HLA-DPB1, and HLA-A. These markers were statistically independent from clinical risk factors and significantly improved the fit of a model when included with clinical risk factors (P = 3.3 × 10
conclusionIntegration of a genetic and clinical risk prediction model outperforms a model based solely on clinical risk factors. Future JIAU risk prediction models should include genetic risk factors.
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