Progression to multifactorial diseases is determined jointly by genes and environment. A valid approach for the prediction and prevention of such diseases might be to define at birth, or at an early age, the population at increased genetic risk by analysing the risk genes or risk alleles, the subsequent follow-up of those at risk, and the appropriate implementation of preventive measures at optimum time, if available. The feasibility and acceptance of population-wide genetic tests aimed at an early recognition of the risk of common multifactorial diseases with clinical presentation later in life is not known.The Type I Diabetes Prediction and Prevention project (DIPP) is an effort to predict and search for means to delay or prevent the disease in a large population-based cohort of children in Finland. The case of Type I diabetes is probably a useful model for the prediction and prevention of chronic, multifactorial Diabetologia (2001) AbstractAims/hypothesis. Population-wide genetic screening of susceptibility to multifactorial diseases will become relevant as knowledge of the pathogenesis of these diseases increases and preventive interventions are identified. Methods. Feasibility and acceptance of neonatal genetic screening for Type I (insulin-dependent) diabetes mellitus susceptibility and adherence of the atrisk children to frequent autoantibody follow-up were studied. Screening was offered to all families. The infants with HLA-DQB1 genotypes *02/*0302 and *0302/x (x¹*02, *0301, *0602) were invited to autoantibody follow-up. The children who developed signs of b-cell autoimmunity were invited to a separate prevention trial. Results. The parents of 31 526 babies born between November 1994 and April 1999 (94.4 % of those eligible) agreed to genetic screening. We found that 4651 infants (14.8 %) had increased genetic risk (2.5 to 15 times that of the general population) for Type I (insulin-dependent) diabetes mellitus, and 80 % of them joined the autoantibody surveillance. At the age of 1, 2, 3 and 4 years, 74, 69, 68 and 76 % of the at-risk children, respectively, attended the follow-up. A total of 17 of the 22 children (77 %) who were born during the study period and have developed diabetes carry the risk genotypes we currently use for screening. Conclusions/interpretation. Population-based screening of genetic susceptibility for Type I diabetes, linked with a possibility to participate later in a prevention trial, is highly accepted in Finland and identifies about 75 % of those developing diabetes at an early age. Families adhere well to the frequent measurement of signs of b-cell autoimmunity in the children at-risk. [Diabetologia (2001) 44: 290±297]

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Enterovirus infections have been associated with the manifestation of clinical type 1 diabetes in a number of reports, and recent prospective studies have suggested that enterovirus infections may initiate the autoimmune process, leading to the disease. In the present study, we analyzed the role of enterovirus infections in a Finnish birth cohort study, Diabetes Prediction and Prevention (DIPP), in which all newborn infants are screened for diabetes-associated HLA-DQB1 alleles, and those with an increased genetic risk are invited for prospective follow-up. Enterovirus infections were diagnosed by serology and reverse transcriptase-polymerase chain reaction (RT-PCR) from serum samples taken from birth every 3-6 months. Case children included 41 infants who became positive for diabetes-associated autoantibodies during the observation. Control children comprised altogether 196 infants who remained autoantibody negative and were matched for the time of birth, sex, and HLA-DQB1 alleles. Enterovirus infections were more frequent in case children than in control children (P = 0.004), and the average enterovirus antibody levels were also higher in the case children (P = 0.003). Enterovirus infections were particularly frequent during the 6-month period preceding the first detection of autoantibodies: 51% of the case children compared with 28% of the control children had an infection in that time interval (P = 0.003). There was no difference in the frequency of adenovirus infections between the groups (P = 0.9). The present results imply that enterovirus infections are associated with the appearance of beta-cell autoantibodies. A possible causal relationship is supported by the clustering of infections to the time when autoantibodies appeared.

The aim of this study was to evaluate the frequency and predictive value of diabetes-associated autoantibodies, such as islet cell antibodies (ICA) and autoantibodies to insulin (IAA), GAD65 (