ArticlePloS one2013
Association of genetic markers with CSF oligoclonal bands in multiple sclerosis patients.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 34 citations in OpenAlex.
- Genetic Prognostic Factors in Multiple Sclerosis: Key Discoveries and Unmet Needs.International journal of molecular sciences · 2026Review
- High EBV-reactive IgG levels in serum are linked to typical inflammatory cerebrospinal fluid features in multiple sclerosis.Frontiers in immunology · 2026Article
- Kappa Free Light Chain Index Correlates With Prognostic Biomarkers in Multiple Sclerosis and Decreases Slowly Following Treatment.European journal of neurology · 2025Article
- The elusive nature of the oligoclonal bands in multiple sclerosis.Journal of neurology · 2024Review
- Cerebrospinal fluid oligoclonal immunoglobulin gamma bands and long-term disability progression in multiple sclerosis: a retrospective cohort study.Scientific reports · 2021Article
- Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies.Neurology. Genetics · 2016Article
- Multiple sclerosis: genetics, biomarkers, treatments.Current opinion in neurology · 2016Review
- Body fluid biomarkers for multiple sclerosis--the long road to clinical application.Nature reviews. Neurology · 2015Review
- Genetic variants are major determinants of CSF antibody levels in multiple sclerosis.Brain : a journal of neurology · 2015Article
- Review
- Optimizing therapeutics in the management of patients with multiple sclerosis: a review of drug efficacy, dosing, and mechanisms of action.Biologics : targets & therapy · 2013Review
Corrections and comments
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Authors and funding
25 authors at 10 institutions in 6 countries.
Funding
Abstract
objectiveto explore the association between genetic markers and Oligoclonal Bands (OCB) in the Cerebro Spinal Fluid (CSF) of Italian Multiple Sclerosis patients.
methodsWe genotyped 1115 Italian patients for HLA-DRB1*15 and HLA-A*02. In a subset of 925 patients we tested association with 52 non-HLA SNPs associated with MS susceptibility and we calculated a weighted Genetic Risk Score. Finally, we performed a Genome Wide Association Study (GWAS) with OCB status on a subset of 562 patients. The best associated SNPs of the Italian GWAS were replicated in silico in Scandinavian and Belgian populations, and meta-analyzed.
resultsHLA-DRB1*15 is associated with OCB+: p = 0.03, Odds Ratio (OR) = 1.6, 95% Confidence Limits (CL) = 1.1-2.4. None of the 52 non-HLA MS susceptibility loci was associated with OCB, except one SNP (rs2546890) near IL12B gene (OR: 1.45; 1.09-1.92). The weighted Genetic Risk Score mean was significantly (p = 0.0008) higher in OCB+ (7.668) than in OCB- (7.412) patients. After meta-analysis on the three datasets (Italian, Scandinavian and Belgian) for the best associated signals resulted from the Italian GWAS, the strongest signal was a SNP (rs9320598) on chromosome 6q (p = 9.4×10(-7)) outside the HLA region (65 Mb). DISCUSSION: genetic factors predispose to the development of OCB.
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