Interaction of T-cell and antigen presenting cell co-stimulatory genes in childhood IgE
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Updated: Jun 21, 2026

Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay
Published on: September 7, 2018
R W B Bottema1, D S Postma, N E Reijmerink
1Dept of Pulmonology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Abstract:
It is likely that multiple genes contribute to immunoglobulin (Ig)E production. Co-stimulatory molecules are crucial for the cross-talk between antigen presenting cells and T-lymphocytes which drives the IgE response. We evaluated gene-gene interactions of haplotype tagging polymorphisms in a pathway of 24 co-stimulatory genes in relation to serum IgE levels. We assessed this at ages 1-2 yrs and 6-8 yrs in 3,062 Dutch children from a pooled data set of three birth cohorts: PIAMA (Prevention and Incidence Asthma and Mite Allergy), PREVASC (Prevention of Asthma in Children) and KOALA (Child, parents and health: lifestyle and genetic constitution). Single- and multi-locus associations with serum IgE levels (3rd versus 1st tertile) were evaluated by Chi-squared tests and the multifactor dimensionality reduction (MDR) method in the following co-stimulatory genes: VTCN1, TNFRSF4, TNFRSF18, TNFRSF14, TNFSF18, TNFSF4, CD28, CTLA4, ICOS, PDCD1, BTLA, CD80, CD86, HLA-G, CD274, PDCD1LG2, CD276, LILRA4, LILRB1, LILRB2, LILRB4, CD40, ICOSLG, and CD40LG. We found multiple statistically significant single-locus ((S)) and multi-locus ((M)) associations for the genes VTCN1(SM), TNFSF18(SM), TNFSF4(S), CD28(S), CTLA4(M), ICOS(S), BTLA(M), CD80(M), CD86(SM), CD274(SM), PDCD1LG2(M), LILRA4(SM), LILRB4(M), and CD40(SM) with serum IgE. Two-locus interactions of CD86 with VTCN1 and CD274 with LILRA4 were confirmed by logistic regression. In conclusion, serum IgE levels are regulated by multiple gene-gene interaction effects in the co-stimulatory pathway. We suggest using research strategies that model multiple gene-gene interactions in genetic studies.
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