Skip to main content
Top
Published in: Diabetologia 11/2007

01-11-2007 | Short Communication

Prediction of type 1 diabetes among siblings of affected children and in the general population

Authors: H. T. Siljander, R. Veijola, A. Reunanen, S. M. Virtanen, H. K. Åkerblom, M. Knip

Published in: Diabetologia | Issue 11/2007

Login to get access

Abstract

Aims/hypothesis

To compare the predictive characteristics of autoantibodies to GAD (GADA) and islet antigen 2 (IA–2A) for type 1 diabetes between siblings of affected children and children from the general population.

Methods

Seven-hundred and fifty-five siblings and 3,475 population-derived children were screened for GADA and IA–2A and observed for type 1 diabetes for 15 years. Sensitivity and cumulative disease risks from GADA, IA–2A and double positivity were compared between the cohorts.

Results

Fifty-six siblings (7.4%) tested positive for GADA, 39 (5.2%) for IA–2A and 29 (3.8%) for both autoantibodies. Thirty-four population derived participants (1.0%) had GADA, 22 (0.6%) had IA–2A and 7 (0.2%) had double positivity. Fifty-one siblings (6.8%) and 15 participants in the population cohort (0.4%) progressed to type 1 diabetes. The predictive sensitivity of GADA was 68% (95% CI 53–81%) among siblings and 50% (95% CI 23–77%) in the general population, while the corresponding values were 58 (95% CI 43–72%) and 43% (95% CI 18–71%) for IA–2A. Double-autoantibody positivity had a sensitivity of 48% (95% CI 34–63%) among siblings and 36% (95% CI 13–65%) in the population cohort. Cumulative disease risks from GADA, IA–2A and double positivity were, respectively, 61% (95% CI 48–74%), 74% (95% CI 61–88%) and 83% (95% CI 69–97%) among siblings compared with those of 24% (95% CI 9–38%), 32% (95% CI 12–51%) and 86% (95% CI 60–100%) in the general population.

Conclusions/interpretation

There were no significant differences in the disease-predictive sensitivity of GADA and IA–2A positivity or their combination between siblings and the population cohort, whereas, for each antibody, positivity was associated with a higher cumulative disease risk among siblings. Double-antibody positivity conferred similar cumulative disease risk both among siblings and in the general population.
Literature
1.
go back to reference Pietropaolo M, Yu S, Libman IM et al (2005) Cytoplasmic islet cell antibodies remain valuable in defining risk of progression to type 1 diabetes in subjects with other islet autoantibodies. Pediatr Diabetes 5:184–192CrossRef Pietropaolo M, Yu S, Libman IM et al (2005) Cytoplasmic islet cell antibodies remain valuable in defining risk of progression to type 1 diabetes in subjects with other islet autoantibodies. Pediatr Diabetes 5:184–192CrossRef
2.
go back to reference Dittler J, Seidel D, Schenker M, Ziegler AG (1998) GADIA2-combi determination as first-line screening for improved prediction of type 1 diabetes in relatives. Diabetes 47:592–597CrossRefPubMed Dittler J, Seidel D, Schenker M, Ziegler AG (1998) GADIA2-combi determination as first-line screening for improved prediction of type 1 diabetes in relatives. Diabetes 47:592–597CrossRefPubMed
3.
go back to reference Bingley PJ, Bonifacio E, Ziegler AG, Schatz DA, Atkinson MA, Eisenbarth GS (2001) Proposed guidelines on screening for risk of type 1 diabetes. Diabetes Care 24:398CrossRefPubMed Bingley PJ, Bonifacio E, Ziegler AG, Schatz DA, Atkinson MA, Eisenbarth GS (2001) Proposed guidelines on screening for risk of type 1 diabetes. Diabetes Care 24:398CrossRefPubMed
4.
go back to reference LaGasse JM, Brantley MS, Leech NJ et al (2002) Successful prospective prediction of type 1 diabetes in schoolchildren through multiple defined autoantibodies: an 8-year follow-up of the Washington State Diabetes Prediction Study. Diabetes Care 25:505–511CrossRefPubMed LaGasse JM, Brantley MS, Leech NJ et al (2002) Successful prospective prediction of type 1 diabetes in schoolchildren through multiple defined autoantibodies: an 8-year follow-up of the Washington State Diabetes Prediction Study. Diabetes Care 25:505–511CrossRefPubMed
5.
go back to reference Schlosser M, Strebelow M, Wassmuth R et al (2002) The Karlsburg type 1 diabetes risk study of a normal schoolchild population: association of beta-cell autoantibodies and human leukocyte antigen-DQB1 alleles in antibody-positive individuals. J Clin Endocrinol Metab 87:2254–2261PubMed Schlosser M, Strebelow M, Wassmuth R et al (2002) The Karlsburg type 1 diabetes risk study of a normal schoolchild population: association of beta-cell autoantibodies and human leukocyte antigen-DQB1 alleles in antibody-positive individuals. J Clin Endocrinol Metab 87:2254–2261PubMed
6.
go back to reference Kulmala P, Savola K, Petersen JS et al (1998) Prediction of insulin-dependent diabetes mellitus in siblings of children with diabetes. A population-based study. The Childhood Diabetes in Finland Study Group. J Clin Invest 101:327–336CrossRefPubMedPubMedCentral Kulmala P, Savola K, Petersen JS et al (1998) Prediction of insulin-dependent diabetes mellitus in siblings of children with diabetes. A population-based study. The Childhood Diabetes in Finland Study Group. J Clin Invest 101:327–336CrossRefPubMedPubMedCentral
7.
go back to reference Åkerblom HK, Viikari J, Raitakari OT, Uhari M (1999) Cardiovascular risk in Young Finns Study: general outline and recent developments. Ann Med 31(Suppl 1):45–54CrossRefPubMed Åkerblom HK, Viikari J, Raitakari OT, Uhari M (1999) Cardiovascular risk in Young Finns Study: general outline and recent developments. Ann Med 31(Suppl 1):45–54CrossRefPubMed
8.
go back to reference World Health Organization (1999) Definition, diagnosis and classification of diabetes mellitus and its complications: Report of a WHO consultation. WHO, Geneva (WHO/NCD/NCS 99.2) World Health Organization (1999) Definition, diagnosis and classification of diabetes mellitus and its complications: Report of a WHO consultation. WHO, Geneva (WHO/NCD/NCS 99.2)
9.
go back to reference Tuomilehto J, Virtala E, Karvonen M et al (1995) Increase in incidence of insulin-dependent diabetes mellitus among children in Finland. Int J Epidemiol 24:984–992CrossRefPubMed Tuomilehto J, Virtala E, Karvonen M et al (1995) Increase in incidence of insulin-dependent diabetes mellitus among children in Finland. Int J Epidemiol 24:984–992CrossRefPubMed
10.
go back to reference Savola K, Sabbah E, Kulmala P, Vähäsalo P, Ilonen J, Knip M (1998) Autoantibodies associated with type I diabetes mellitus persist after diagnosis in children. Diabetologia 41:1293–1297CrossRefPubMed Savola K, Sabbah E, Kulmala P, Vähäsalo P, Ilonen J, Knip M (1998) Autoantibodies associated with type I diabetes mellitus persist after diagnosis in children. Diabetologia 41:1293–1297CrossRefPubMed
11.
go back to reference Maclaren NK, Lan MS, Schatz D, Malone J, Notkins AL, Krischer J (2003) Multiple autoantibodies as predictors of type 1 diabetes in a general population. Diabetologia 46:873–874CrossRefPubMed Maclaren NK, Lan MS, Schatz D, Malone J, Notkins AL, Krischer J (2003) Multiple autoantibodies as predictors of type 1 diabetes in a general population. Diabetologia 46:873–874CrossRefPubMed
12.
go back to reference Veijola R, Reijonen H, Vähäsalo P et al (1996) HLA-DQB1-defined genetic susceptibility, beta cell autoimmunity, and metabolic characteristics in familial and nonfamilial insulin-dependent diabetes mellitus. Childhood Diabetes in Finland (DiMe) Study Group. J Clin Invest 98:2489–2495CrossRefPubMedPubMedCentral Veijola R, Reijonen H, Vähäsalo P et al (1996) HLA-DQB1-defined genetic susceptibility, beta cell autoimmunity, and metabolic characteristics in familial and nonfamilial insulin-dependent diabetes mellitus. Childhood Diabetes in Finland (DiMe) Study Group. J Clin Invest 98:2489–2495CrossRefPubMedPubMedCentral
Metadata
Title
Prediction of type 1 diabetes among siblings of affected children and in the general population
Authors
H. T. Siljander
R. Veijola
A. Reunanen
S. M. Virtanen
H. K. Åkerblom
M. Knip
Publication date
01-11-2007
Publisher
Springer Berlin Heidelberg
Published in
Diabetologia / Issue 11/2007
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-007-0799-5

Other articles of this Issue 11/2007

Diabetologia 11/2007 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine