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

Overview of attention for article published in Genes & Immunity, October 2012
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Title
Age-dependent variation of genotypes in MHC II transactivator gene (CIITA) in controls and association to type 1 diabetes
Published in
Genes & Immunity, October 2012
DOI 10.1038/gene.2012.44
Pubmed ID
Authors

A Gyllenberg, S Asad, F Piehl, M Swanberg, L Padyukov, B Van Yserloo, E A Rutledge, B McNeney, J Graham, M Orho-Melander, E Lindholm, C Graff, C Forsell, K Åkesson, M Landin-Olsson, A Carlsson, G Forsander, S A Ivarsson, H Larsson, B Lindblad, J Ludvigsson, C Marcus, Å Lernmark, L Alfredsson, K Åkesson, T Olsson, I Kockum

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.

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Mendeley readers

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Geographical breakdown

Country Count As %
United Kingdom 1 2%
Sweden 1 2%
Denmark 1 2%
Czechia 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 7 14%
Other 5 10%
Student > Bachelor 5 10%
Professor 4 8%
Other 12 24%
Unknown 10 20%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Agricultural and Biological Sciences 5 10%
Biochemistry, Genetics and Molecular Biology 4 8%
Nursing and Health Professions 2 4%
Immunology and Microbiology 2 4%
Other 8 16%
Unknown 15 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Genes & Immunity
#638
of 736 outputs
Outputs of similar age
#130,807
of 172,673 outputs
Outputs of similar age from Genes & Immunity
#7
of 12 outputs
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