Abstract
Background: Glatiramer acetate (GA) is widely used as a first-line disease-modifying treatment for multiple sclerosis (MS). However, a significant proportion of MS patient appears to experience modest benefit from GA-treatment. Genetic variants affecting the clinical response to GA are believed to be relevant as biomarkers of GA-treatment efficiency. Patients & methods: Nine polymorphisms in candidate genes were analyzed as possible determinants of GA response in 285 Russian MS patients. Special attention was given to identification of response-associated allelic combinations by means of the APSampler algorithm. Results: No significant associations were found for individual polymorphisms. Alleles DRB1*15, TGFB1*T, CCR5*d and IFNAR1*G were the components of the combinations, of which carriage was significantly higher in nonresponders than in responders. Carriers of the most significant combinations: DRB1*15 + TGFB1*T + CCR5*d + IFNAR1*G and DRB1*15 + TGFB1*T + CCR5*d (permutation p-values: 0.0056 and 0.013, respectively) had a 14 to 15-times increased risk of ineffective response to GA therapy. Discussion: The results suggest that the influence of immune-response genes on GA-induced response has a polygenic nature. The data are interpreted as evidence of additive and epistatic influences of the genes on GA efficiency for MS treatment. Original submitted 21 June 2011; Revision submitted 31 August 201.
Original language | English (US) |
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Pages (from-to) | 43-53 |
Number of pages | 11 |
Journal | Pharmacogenomics |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2012 |
Keywords
- APSampler
- Copaxone
- Cytokines
- Glatiramer acetate
- Multiple sclerosis
- Pharmacogenomics
- Polymorphism
- SNP
ASJC Scopus subject areas
- Molecular Medicine
- Genetics
- Pharmacology