Association analysis of functional variants of the FcgRIIa and FcgRIIIa genes with type 1 diabetes, celiac disease and rheumatoid arthritis.
Fulltext:
52450.pdf
Embargo:
until further notice
Size:
256.6Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2007Source
Human Molecular Genetics, 16, 21, (2007), pp. 2552-9ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
Human Genetics
Psychiatry
Rheumatology
Journal title
Human Molecular Genetics
Volume
vol. 16
Issue
iss. 21
Page start
p. 2552
Page end
p. 9
Subject
DCN 1: Perception and Action; DCN 2: Functional Neurogenomics; EBP 1: Determinants in Health and Disease; IGMD 3: Genomic disorders and inherited multi-system disorders; N4i 1: Pathogenesis and modulation of inflammation; N4i 4: Auto-immunity, transplantation and immunotherapy; NCEBP 2: Evaluation of complex medical interventions; NCMLS 1: Immunity, infection and tissue repair; NCMLS 1: Infection and autoimmunity; NCMLS 6: Genetics and epigenetic pathways of disease; UMCN 4.2: Chronic inflammation and autoimmunity; UMCN 5.1: Genetic defects of metabolismAbstract
FcgRIIa and FcgRIIIa are potent modulators of the immune system which bind (auto)antibodies and activate immune cells. The FcgRIIa*A519G and FcgRIIIa*A559C functional variants have been associated with several immune-related diseases. We studied FcgRIIa*A519G and FcgRIIIa*A559C SNPs in type 1 diabetes (T1D), celiac disease (CD) and rheumatoid arthritis (RA) patients and controls and included a meta-analysis of all recent studies of FcgRIIIa*A559C and RA. Our cohorts comprised 350 T1D, 519 CD, 639 RA patients and 1359 controls, who were genotyped for FcgRIIa*A519G and FcgRIIIa*A559C variants. Regression and expectation maximization (EM) algorithm-based haplotype analyses were used for the data analysis. We found significant differences in genotype frequencies of FcgRIIa between controls and patients with T1D (P = 0.04), CD (P = 0.000005) and RA (P = 0.04). The FcgRIIa*519GG genotype showed an increased risk for both T1D [odds ratio (OR) = 1.51; 95% confidence interval (95% CI) 1.08-2.12; P = 0.015] and CD (OR = 1.81; 95% CI 1.35-2.37; P = 0.000004), but not for RA. There was no difference in the frequency of FcgRIIIa*A559C genotypes or allelotypes between controls with T1D, CD and RA. We found that FcgRIIa and FcgRIIIa haplotype frequencies differed significantly between controls and patients with T1D (P = 0.05) and with CD (P = 0.00038) but not with RA. Our meta-analysis showed a significant 1.37(95% CI 1.14-1.66)-fold increased risk of RA for the FcgRIIIa*559CC (158VV) genotype (P = 0.001). This is the first report that the FcgRIIa*519GG genotype predisposes to T1D and CD. We confirmed that the FcgRIIIa*559CC genotype is associated with RA. If replicated, our findings would suggest FcgRIIa*519G as a common risk factor for auto-immune diseases. This may have clinical implications with regard to efficacy or safety of antibody-based immuno-modulator therapies.
This item appears in the following Collection(s)
- Academic publications [244262]
- Electronic publications [131202]
- Faculty of Medical Sciences [92892]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.