Familial clustering of beta-cell autoimmunity in initially non-diabetic children.

BACKGROUND: Type 1 diabetes is characterised by familial aggregation. We set out to explore whether beta-cell autoimmunity, which is considered to precede clinical disease, also shows familial clustering. METHODS: Tests for HLA DQB1 alleles (*02, *0301, *0302, *0602) and islet cell autoantibodies (ICA) were performed on 5836 children from 2283 families. When a child tested positive for ICA, all his/her previous or subsequent samples that were available were also tested for insulin autoantibodies (IAA), antibodies to glutamic acid decarboxylase (GADA) and antibodies to the IA-2 protein (IA-2A). RESULTS: Forty-four families were observed to have two or more children positive for at least ICA. This proportion (1.9%) was almost five times higher than expected (0.4%; p < 0.001). The frequency of multiple (>/=2) autoantibodies also showed familial aggregation, the observed proportion (0.39%) being three times that expected (0.13%; p < 0.001). In 72.7% of the families with at least two ICA-positive siblings, the children with autoantibodies had the same HLA DQB1 genotype. The median age difference between the ICA-positive children within the same family was 3.3 years (range 0.0-10.5 years), and the median time interval in the appearance of ICA within the family was 1.6 years (range 0.0-3.2). CONCLUSIONS: beta-cell autoimmunity, as defined by the appearance of ICA, demonstrates familial aggregation, although the antibodies do not appear in close temporal proximity or at an identical age within the same family. The HLA-DQB1 genotypes are more often identical in siblings with autoantibodies than in other siblings.

Geographical variation in risk HLA-DQB1 genotypes for type 1 diabetes and signs of beta-cell autoimmunity in a high-incidence country.

OBJECTIVE: To assess possible differences in the frequency of HLA-DQB1 risk genotypes and the emergence of signs of beta-cell autoimmunity among three geographical regions in Finland. RESEARCH DESIGN AND METHODS: The series comprised 4,642 children with increased HLA-DQB1-defined genetic risk of type 1 diabetes from the Diabetes Prediction and Prevention (DIPP) study: 1,793 (38.6%) born in Turku, 1,646 (35.5%) in Oulu, and 1,203 (25.9%) in Tampere. These children were examined frequently for the emergence of signs of beta-cell autoimmunity, for the primary screening of which islet cell antibodies (ICA) were used. If the child developed ICA, all samples were also analyzed for insulin autoantibodies (IAA), GAD65 antibodies (GADA), and antibodies to the IA-2 molecule (IA-2A). RESULTS: The high- and moderate-risk genotypes were unevenly distributed among the three areas (P<0.001); the high-risk genotype was less frequent in the Oulu region (20.4%) than in the Turku (28.4%; P<0.001) or Tampere regions (27.2%; P<0.001). This genotype was associated with an increased frequency of ICA seroconversion relative to the moderate risk genotypes (hazard ratio 1.89, 95% CI 1.36-2.62). Seroconversions to ICA positivity occurred less commonly in Tampere than in Turku (0.47, 0.28-0.75), whereas the seroconversion rate in Oulu did not differ from that in Turku (0.72, 0.51-1.03). The Tampere-Turku difference persisted after adjustment for risk genotypes, sex, and time of birth (before January 1998 versus later). Seroconversion for at least one additional autoantibody was also less frequent in Tampere than in Turku (0.39, 0.16-0.82). CONCLUSIONS: These data show that in Finland, the country with the highest incidence of type 1 diabetes in the world, both the frequency of the high-risk HLA-DQB1 genotype and the risk of seroconversion to autoantibody positivity show geographical variation. The difference in seroconversion rate could not be explained by the difference in HLA-DQB1-defined disease susceptibility, implying that the impact of environmental triggers of diabetes-associated autoimmunity may differ between the three regions studied.

Humoral beta-cell autoimmunity in relation to HLA-defined disease susceptibility in preclinical and clinical type 1 diabetes.

We have studied the relationship between diabetes-associated autoantibodies and various HLA genotypes and alleles in patients with newly diagnosed type 1 diabetes, in non-diabetic siblings and in children representing the general population to test the hypothesis that specific HLA genes regulate the humoral immune response to various autoantigens. Among the newly diagnosed patients we observed that those carrying the DR4-DQB1*0302 haplotype had increased levels of insulin autoantibodies (IAA) and IA-2 antibodies (IA-2A), but low levels of GAD antibodies (GADA). In contrast, those with the DR3-DQB1*02 haplotype had increased GADA titers but low IAA and IA-2 levels. DQB1*02-homozygous patients had a conspicuously low frequency and low levels of IA-2A. Among the siblings there was an apparent association between genetic risk and the prevalence of islet cell antibodies (ICA), IAA, GADA, IA-2A and multiple autoantibodies, the latter being detectable at a frequency of 24.1% in high risk siblings and at a frequency of only 0.9% in those with genotypes conferring disease protection. Among 7-16-year-old Finnish schoolchildren there was an association between GADA and the DQB1*02/*0302 genotype and the DQB1*0302 allele. Among young children identified from the general population based on high (DQB1*02/0302 heterozygosity) or moderate (DQB1*0302/x; x not equal *02, *0301, *0602, *0603) genetic risk for type 1 diabetes the high risk children seroconverted more often to positivity for ICA, GADA and IA-2A over their first 2 years of life. Among older sibs of these children we observed an obvious relationship between the degree of genetic risk and the frequency of ICA, IAA, GADA, IA-2A, and multiple antibodies. Taken together these observations suggest that HLA genes have a strong impact on the appearance of diabetes-associated autoantibodies both in first-degree relatives of affected children and in the general population. In patients with newly diagnosed disease IA-2A may be a more specific marker of beta-cell damage, whereas GADA might reflect a propensity to autoimmunity in general.