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No evidence for association of CTLA-4 gene polymorphisms with the risk of developing multiple sclerosis: a meta-analysis.

Abstract
We conducted a meta-analysis concerning the association of cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) gene polymorphisms with the risk of developing multiple sclerosis (MS). We identified 18 eligible studies summarizing information about 3375 MS cases and 2930 healthy controls. Two polymorphisms were of interest: the exon 1 +49 A/G polymorphism (in 18 studies) and the promoter-318 C/T polymorphism (in 10 studies). Using random-effects methods we found no evidence for association of the various contrasts of genotypes (or allele frequencies) with the disease. There was significant between-studies heterogeneity that could not be explained by the ethnicity of the populations studied or by other summary measures (gender, disease course, latitude). The major finding of the meta-analysis, apart from the lack of an overall association, consists of detecting a significant time trend of the OR for the contrast of GA versus GG+AA genotypes of the exon 1 +49 A/G polymorphism. In particular, using cumulative meta-analysis we found that the large number of conflicting results on the subject was triggered by the early appearance of a highly significant published result (a study that indicated a significant association of the genotype with the disease).
AuthorsPantelis G Bagos, Anthi C Karnaouri, Georgios K Nikolopoulos, Stavros J Hamodrakas
JournalMultiple sclerosis (Houndmills, Basingstoke, England) (Mult Scler) Vol. 13 Issue 2 Pg. 156-68 (Mar 2007) ISSN: 1352-4585 [Print] England
PMID17439880 (Publication Type: Journal Article, Meta-Analysis)
Chemical References
  • Antigens, CD
  • Antigens, Differentiation
  • CTLA-4 Antigen
  • CTLA4 protein, human
Topics
  • Antigens, CD (genetics)
  • Antigens, Differentiation (genetics)
  • CTLA-4 Antigen
  • Genetic Predisposition to Disease (epidemiology)
  • Humans
  • Multiple Sclerosis (epidemiology, genetics)
  • Polymorphism, Genetic
  • Risk Factors

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