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Age-dependent variation of genotypes in MHC II transactivator gene (CIITA) in controls and association to type 1 diabetes

Authors :
Gyllenberg, Alexandra
Asad, Samina
Piehl, Fredrik
Swanberg, Maria
Padyukov, Leonid
van Yserloo, Brian
Graham, Jinko
Rutledge, Elizabeth
Orho-Melander, Marju
Lindholm, Eero
Graff, Caroline
Forsell, Charlotte
Åkesson, Karin
Landin-Olsson, Mona
Carlsson, Annelie
Forsander, Gun
Ivarsson, Sten
Larsson, Helena
Alfredsson, Lars
Åkesson, Kristina
Olsson, Tomas
Kockum, Ingrid
Lindblad, Bengt
Ludvigsson, Johnny
Marcus, Claude
Lernmark, Åke
McNeney, Brad
Swedish Childhood Diabetes Study Group
Diabetes Incidence in Sweden Study Group
Better Diabetes Diagnosis Study Group
Gyllenberg, Alexandra
Asad, Samina
Piehl, Fredrik
Swanberg, Maria
Padyukov, Leonid
van Yserloo, Brian
Graham, Jinko
Rutledge, Elizabeth
Orho-Melander, Marju
Lindholm, Eero
Graff, Caroline
Forsell, Charlotte
Åkesson, Karin
Landin-Olsson, Mona
Carlsson, Annelie
Forsander, Gun
Ivarsson, Sten
Larsson, Helena
Alfredsson, Lars
Åkesson, Kristina
Olsson, Tomas
Kockum, Ingrid
Lindblad, Bengt
Ludvigsson, Johnny
Marcus, Claude
Lernmark, Åke
McNeney, Brad
Swedish Childhood Diabetes Study Group
Diabetes Incidence in Sweden Study Group
Better Diabetes Diagnosis Study Group
Publication Year :
2013

Abstract

The major histocompatibility complex class II transactivator (CIITA) gene (16p13) has been reported to associate with susceptibility to multiple sclerosis, rheumatoid arthritis and myocardial infarction, recently also to celiac disease at genome-wide level. However, attempts to replicate association have been inconclusive. Previously, we have observed linkage to the CIITA region in Scandinavian type 1 diabetes (T1D) families. Here we analyze five Swedish T1D cohorts and a combined control material from previous studies of CIITA. We investigate how the genotype distribution within the CIITA gene varies depending on age, and the association to T1D. Unexpectedly, we find a significant difference in the genotype distribution for markers in CIITA (rs11074932, P=4 × 10(-5) and rs3087456, P=0.05) with respect to age, in the collected control material. This observation is replicated in an independent cohort material of about 2000 individuals (P=0.006, P=0.007). We also detect association to T1D for both markers, rs11074932 (P=0.004) and rs3087456 (P=0.001), after adjusting for age at sampling. The association remains independent of the adjacent T1D risk gene CLEC16A. Our results indicate an age-dependent variation in CIITA allele frequencies, a finding of relevance for the contrasting outcomes of previously published association studies.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1134604361
Document Type :
Electronic Resource