4.2 Article

Single-nucleotide polymorphisms in HLA- and non-HLA genes associated with the development of antibodies to interferon-β therapy in multiple sclerosis patients

期刊

PHARMACOGENOMICS JOURNAL
卷 12, 期 3, 页码 238-245

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/tpj.2011.14

关键词

multiple sclerosis; neutralizing antibodies; SNPs; genetic risk; interferon-beta; association study

资金

  1. German Ministry for Education and Research (BMBF, 'German Competence Network Multiple Sclerosis' (KKNMS), Control-MS) [01GI0917]
  2. DFG [He2386/7-1]
  3. Merck Serono
  4. Bayer Vital
  5. Biogen Idec
  6. Bayer Schering
  7. Novartis
  8. Teva
  9. Roche
  10. Micromet
  11. Bayer-Schering AG

向作者/读者索取更多资源

Interferons-beta (IFN-beta) are the most widely used immunomodulatory drugs for treatment of multiple sclerosis (MS). The development of neutralizing antibodies (NABs) against IFN-beta is one of the main reasons for treatment failure. While formulation of the drug has a proven impact on the development of NABs, the genetic predisposition to develop antibodies is poorly understood. We performed genome-wide single-nucleotide polymorphism (SNP) genotyping in 362 MS patients of whom 178 had developed and 184 had not developed antibodies on IFN-beta therapy. Four candidate SNPs were validated in an independent cohort of 350 antibody-positive and 468 antibody-negative MS patients. One SNP within the human leucocyte antigen (HLA) region (rs9272105, P-value: 3.56 x 10(-10)) and one SNP in an intergenic region on chromosome 8q24.3 (rs4961252, P-value: 2.92 x 10(-8)) showed a genome-wide significant association with the anti-IFN-beta antibody titers. We found no interaction between the genome-wide significant SNPs (rs9272105 and rs4961252) in our study and the previously described HLA-DR*0401 or *0408 alleles, indicating an additive effect of SNPs and HLA alleles. Testing for these SNPs and the HLA-DR*0401 or * 0408 alleles allows to identify patients at risk to develop antibodies to IFN-b and may provide helpful information for individual treatment decisions. The Pharmacogenomics Journal (2012) 12, 238-245; doi: 10.1038/tpj.2011.14; published online 19 April 2011

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