CTLA4, SH2B3 and CLEC16A diversely affect the progression of early islet autoimmunity in relatives of type 1 diabetes patients.
Julie VandewalleAster K DesouterBart J Van der AuweraSylvie TenoutassePieter GillardChristophe De BlockBart KeymeulenFrans K GorusMark Van de Casteelenull nullPublished in: Clinical and experimental immunology (2023)
The HLA region is the major genetic risk determinant of type 1 diabetes. How non-HLA loci contribute to the genetic risk is incompletely understood, but there are indications that at least some impact progression of asymptomatic autoimmunity. We examined whether SNPs in 7 susceptibility loci (INS, SH2B3, PTPN2, PTPN22, CTLA4, CLEC16A and IL2RA) could improve prediction of the progression from single to multiple autoantibody positivity, and from there on to diagnosis. SNPs were genotyped in persistently autoantibody positive relatives by allelic discrimination qPCR and disease progression was studied by multivariate Cox regression analysis. In our cohort, only the CTLA4 GA genotype (rs3087243, p=0.002) and the CLEC16A AA genotype (rs12708716, p=0.021) were associated with accelerated progression from single to multiple autoantibody positivity, but their effects were restricted to presence of HLA-DQ2/DQ8, and IAA as first autoantibody, respectively. The interaction of CTLA4 and HLA-DQ2/DQ8 overruled the effect of DQ2/DQ8 alone. The HLA-DQ2/DQ8-mediated risk of progression to multiple autoantibodies nearly entirely depended on heterozygosity for CTLA4. The SH2B3 TT genotype (rs3184504) was protective for HLA-DQ8 positive subjects (p=0.003). At the stage of multiple autoantibodies, only the CTLA4 GA genotype was a minor independent risk factor for progression towards clinical diabetes (p=0.034). Our study shows that non-HLA polymorphisms impact progression of islet autoimmunity in a subgroup-, stage- and SNP-specific way, suggesting distinct mechanisms. If confirmed, these findings may help refine risk assessment, follow-up, and prevention trials in risk groups.
Keyphrases
- cardiovascular disease
- celiac disease
- genome wide
- type diabetes
- risk assessment
- end stage renal disease
- pet ct
- ejection fraction
- systemic lupus erythematosus
- dna methylation
- gene expression
- randomized controlled trial
- rheumatoid arthritis
- newly diagnosed
- skeletal muscle
- peritoneal dialysis
- insulin resistance
- ankylosing spondylitis
- weight loss
- prognostic factors
- systemic sclerosis
- genome wide association study
- study protocol
- high density