Accuri C6 Flow Cytometer System
A more recent version of this article appeared on March 1, 2007

Published online before print January 5, 2007
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© by The Society for Leukocyte Biology
Journal of Leukocyte Biology, doi:10.1189/jlb.0906577


Received for publication September 19, 2006.
Revised December 4, 2006.
Accepted for publication December 5, 2006.


Article

Interaction analysis of the CBLB and CTLA4 genes in type 1 diabetes

Felicity Payne , Jason D. Cooper , Neil M. Walker , Alex C. Lam , Luc J. Smink , Sarah Nutland , Helen E. Stevens , Jayne Hutchings , and John A. Todd @

Juvenile Diabetes Research Foundation/Wellcome Trust (JDRF/WT) Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK

@ To whom correspondence should be addressed. E-mail: john.todd{at}cimr.cam.ac.uk.


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Abstract

Gene-gene interaction analyses have been suggested as a potential strategy to help identify common disease susceptibility genes. Recently, evidence of a statistical interaction between polymorphisms in two negative immunoregulatory genes, CBLB and CTLA4, has been reported in type 1 diabetes (T1D). This study, in 480 Danish families, reported an association between T1D and a synonymous coding SNP in exon 12 of the CBLB gene (rs3772534 G>A; minor allele frequency, MAF=0.24; derived relative risk, RR for G allele=1.78; P=0.046). Furthermore, evidence of a statistical interaction with the known T1D susceptibility-associated CTLA4 polymorphism rs3087243 (laboratory name CT60, G>A) was reported (P<0.0001), such that the CBLB SNP rs3772534 G allele was overtransmitted to offspring with the CTLA4 rs3087243 G/G genotype. We have, therefore, attempted to obtain additional support for this finding in both large family and case-control collections. In a primary analysis, no evidence for an association of the CBLB SNP rs3772534 with disease was found in either sample set (2082 parent-child trios, P=0.33; 3453 cases and 3655 controls, P=0.69). In the case-only statistical interaction analysis between rs3772534 and rs3087243, there was also no support for an effect (1994 T1D affected offspring, P=0.21 and 3,215 cases, P=0.92). These data highlight the need for large, well-characterized populations, offering the possibility of obtaining additional support for initial observations owing to the low prior probability of identifying reproducible evidence of gene-gene interactions in the analysis of common disease-associated variants in human populations.

Key Words: CBLB • CTLA4 • Type 1 diabetes • rs3087243 • rs3772534