Activating mutations in the KCNJ11 gene encoding the ATP-sensitive K+ channel subunit Kir6.2 are rare in clinically defined type 1 diabetes diagnosed before 2 years.

We have recently shown that permanent neonatal diabetes can be caused by activating mutations in KCNJ11 that encode the Kir6.2 subunit of the beta-cell ATP-sensitive K(+) channel. Some of these patients were diagnosed after 3 months of age and presented with ketoacidosis and marked hyperglycemia, which could have been diagnosed as type 1 diabetes. We hypothesized that KCNJ11 mutations could present clinically as type 1 diabetes. We screened the KCNJ11 gene for mutations in 77 U.K. type 1 diabetic subjects diagnosed under the age of 2 years. One patient was found to be heterozygous for the missense mutation R201C. She had low birth weight, was diagnosed at 5 weeks, and did not have a high risk predisposing HLA genotype. A novel variant, R176C, was identified in one diabetic subject but did not cosegregate with diabetes within the family. In conclusion, we have shown that heterozygous activating mutations in the KCNJ11 gene are a rare cause of clinically defined type 1 diabetes diagnosed before 2 years. Although activating KCNJ11 mutations are rare in patients diagnosed with type 1 diabetes, the identification of a KCNJ11 mutation may have important treatment implications.

Identifying hepatic nuclear factor 1alpha mutations in children and young adults with a clinical diagnosis of type 1 diabetes.

OBJECTIVE: HNF-1alpha gene mutations (MODY3) present with marked hyperglycemia in lean young adults and may, therefore, be mistaken for type 1 diabetes, with implications for individual treatment and risk of diabetes in other family members. We examined the prevalence of HNF-1alpha mutations in families with three generations of diabetes identified in a population-based study of childhood diabetes, representing a subpopulation in which misclassification was likely. RESEARCH DESIGN AND METHODS: In a study population of 1,470 families, 36 families (2.4%) with three affected generations were identified. In the 18 families in whom DNA samples were available, islet autoantibody testing, HLA class II genotyping, and HNF-1alpha sequencing were performed. RESULTS: At least one islet autoantibody was found in 13 of 14 probands, and diabetes-associated HLA class II haplotypes were found in 17 of 18. One proband, who had no islet autoantibodies and was homozygous for the protective HLA haplotype DRB1*02-DQB1*0602, had a novel HNF-1alpha heterozygous nonsense mutation (R54X). This mutation cosegregated with diabetes in the family. The proband, his brother, mother, and maternal grandmother were diagnosed with type 1 diabetes aged 14-18 years and treated with insulin (0.39-0.74 units/kg) from diagnosis. The mother has since been successfully transferred to sulfonylurea treatment. CONCLUSIONS: Family history alone is of limited value in identification of individuals with HNF-1alpha mutations, and we propose a stepwise approach that restricts sequencing of the HNF-1alpha gene to those with a family history of diabetes who also test negative for islet autoantibodies.

Absolute risk of childhood-onset type 1 diabetes defined by human leukocyte antigen class II genotype: a population-based study in the United Kingdom.

The autoimmune disease process leading to childhood-onset type 1 diabetes appears to start in infancy, and decisions on treatment to prevent initiation of autoimmunity will need to be based on genetic susceptibility alone. We set out to quantify the absolute risk associated with human leukocyte antigen (HLA) DRB1-DQA1-DQB1 class II genotypes and to develop strategies for recruitment into primary prevention trials. HLA class II haplotype- and genotype-specific risks were derived from 753 United Kingdom families from the Bart's-Oxford population-based study of type 1 diabetes and combined with incidence data from the region to calculate the absolute risk of development of diabetes. A hierarchy of susceptibility was established for both HLA class II haplotypes and genotypes, and the sensitivity and specificity of each genotype was established relative to age at disease onset. Highest risk was conferred by the genotype DRB1*03-DQA1*0501-DQB1*0201/DRB1*0401-DQA1*0301-DQB1*0302 (5% absolute risk of diabetes by age 15 yr), although sensitivity was only 22.6%. Combining the six highest risk genotypes conferred similar risk but increased sensitivity to 36.6% and was most sensitive for diagnosis of diabetes before age 5 yr (48.4%), whereas inclusion of 11 genotypes achieved the same sensitivity for diagnosis for ages 10-14 yr. Analysis of genotype-specific risk should form the basis for design of future primary prevention trials in the general population.