OBJECTIVE: Juvenile idiopathic arthritis (JIA) is an autoimmune disorder mediated by Th1 immune responses. CTLA-4, expressed on the T cell surface, plays a negative role in regulating T cell activation. Single-nucleotide polymorphisms (SNPs) in CTLA4 have been implicated in susceptibility to several autoimmune disorders, including JIA. This study was undertaken to test 3 functional CTLA4 variants for association with JIA. METHODS: Families of 531 children with JIA were genotyped for SNPs located in the promoter region (C-318T), exon 1 (A49G), and the 3'-untranslated region (CT60) of CTLA4 by polymerase chain reaction amplification and digestion. Family Based Association Testing (FBAT) was used to test CTLA4 SNPs and haplotypes for association with JIA. A second independent cohort of >300 children with JIA and >500 controls were genotyped for case-control analyses. Case-control analyses of the combined cohorts, as well as meta-analyses of published association studies of CTLA4 and JIA, were performed. RESULTS: There were no deviations of transmission of any of the CTLA4 variants to children with JIA, or JIA subtypes, determined by FBAT. No significant associations between CTLA4 C-318T or A49G SNPs and JIA were found in 650 JIA cases and 350 controls. Similarly, no significant associations with CT60 variants were found in >800 JIA cases and >500 controls. The meta-analysis also failed to confirm an association between JIA and CTLA4 variants. CONCLUSION: These results suggest that C-318T, A49G, CT60, and haplotypes tagged by these CTLA4 SNPs are not associated with JIA or major JIA subtypes.
OBJECTIVE:Juvenile idiopathic arthritis (JIA) is an autoimmune disorder mediated by Th1 immune responses. CTLA-4, expressed on the T cell surface, plays a negative role in regulating T cell activation. Single-nucleotide polymorphisms (SNPs) in CTLA4 have been implicated in susceptibility to several autoimmune disorders, including JIA. This study was undertaken to test 3 functional CTLA4 variants for association with JIA. METHODS: Families of 531 children with JIA were genotyped for SNPs located in the promoter region (C-318T), exon 1 (A49G), and the 3'-untranslated region (CT60) of CTLA4 by polymerase chain reaction amplification and digestion. Family Based Association Testing (FBAT) was used to test CTLA4 SNPs and haplotypes for association with JIA. A second independent cohort of >300 children with JIA and >500 controls were genotyped for case-control analyses. Case-control analyses of the combined cohorts, as well as meta-analyses of published association studies of CTLA4 and JIA, were performed. RESULTS: There were no deviations of transmission of any of the CTLA4 variants to children with JIA, or JIA subtypes, determined by FBAT. No significant associations between CTLA4 C-318T or A49G SNPs and JIA were found in 650 JIA cases and 350 controls. Similarly, no significant associations with CT60 variants were found in >800 JIA cases and >500 controls. The meta-analysis also failed to confirm an association between JIA and CTLA4 variants. CONCLUSION: These results suggest that C-318T, A49G, CT60, and haplotypes tagged by these CTLA4 SNPs are not associated with JIA or major JIA subtypes.
Authors: Hironori Ueda; Joanna M M Howson; Laura Esposito; Joanne Heward; Hywel Snook; Giselle Chamberlain; Daniel B Rainbow; Kara M D Hunter; Annabel N Smith; Gianfranco Di Genova; Mathias H Herr; Ingrid Dahlman; Felicity Payne; Deborah Smyth; Christopher Lowe; Rebecca C J Twells; Sarah Howlett; Barry Healy; Sarah Nutland; Helen E Rance; Vin Everett; Luc J Smink; Alex C Lam; Heather J Cordell; Neil M Walker; Cristina Bordin; John Hulme; Costantino Motzo; Francesco Cucca; J Fred Hess; Michael L Metzker; Jane Rogers; Simon Gregory; Amit Allahabadia; Ratnasingam Nithiyananthan; Eva Tuomilehto-Wolf; Jaakko Tuomilehto; Polly Bingley; Kathleen M Gillespie; Dag E Undlien; Kjersti S Rønningen; Cristian Guja; Constantin Ionescu-Tîrgovişte; David A Savage; A Peter Maxwell; Dennis J Carson; Chris C Patterson; Jayne A Franklyn; David G Clayton; Laurence B Peterson; Linda S Wicker; John A Todd; Stephen C L Gough Journal: Nature Date: 2003-04-30 Impact factor: 49.962
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