| Literature DB >> 29121687 |
Angela Hommel1, Florian Haupt2, Petrina Delivani1, Christiane Winkler2, Marina Stopsack3, Pauline Wimberger4, Katharina Nitzsche4, Sophie Heinke5, Andrea Naeke5, Uta Ceglarek6, Joachim Thiery6, Renate Bergert5,7, Daniel Stadthaus8, Katrin Groeger9, Georg Heubner10, Ursula Schramm11, Ullrich Dziambor12, Agnes Zirkel13, Wieland Kiess14, Iris Mueller15, Karin Lange15, Reinhard Berner5, Ezio Bonifacio1, Anette-Gabriele Ziegler2.
Abstract
An increased risk for type 1 diabetes can be identified using genetic and immune markers. The Freder1k study introduces genetic testing for type 1 diabetes risk within the context of the newborn screening in order to identify newborns with a high risk to develop type 1 diabetes for follow-up testing of early stage type 1 diabetes and for primary prevention trials. Consent for research-based genetic testing of type 1 diabetes risk is obtained with newborn screening. Increased risk is assessed using three single nucleotide polymorphisms for HLA DRB1*03 (DR3), HLA DRB1*04 (DR4), HLA DQB1*0302 (DQ8) alleles, and defined as 1. an HLA DR3/DR4-DQ8 or DR4-DQ8/DR4-DQ8 genotype or 2. an HLA DR4-DQ8 haplotype and a first-degree family history of type 1 diabetes. Families of infants with increased risk are asked to participate in follow-up visits at infant age 6 months, 2 years, and 4 years for autoantibody testing and early diagnosis of type 1 diabetes. After 8 months, the screening rate has reached 181 per week, with 63% coverage of newborns within Freder1k-clinics and 24% of all registered births in Saxony. Of 4178 screened, 2.6% were identified to have an increased risk, and around 80% of eligible infants were recruited to follow-up. Psychological assessment of eligible families is ongoing with none of 31 families demonstrating signs of excessive burden associated with knowledge of type 1 diabetes risk. This pilot study has shown that it is feasible to perform genetic risk testing for childhood disease within the context of newborn screening programs. © Georg Thieme Verlag KG Stuttgart · New York.Entities:
Mesh:
Year: 2017 PMID: 29121687 DOI: 10.1055/s-0043-120921
Source DB: PubMed Journal: Horm Metab Res ISSN: 0018-5043 Impact factor: 2.936