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1.
Laimighofer, M. et al.: Common patterns of gene regulation associated with Cesarean section and the development of islet autoimmunity - indications of immune cell activation. Sci. Rep. 9:6250 (2019)
2.
Ungethüm, K. et al.: Physical activity is associated with lower insulin and C-peptide during glucose challenge in children and adolescents with family background of diabetes. Diabetic Med. 36, 366-375 (2019)
3.
Winkler, C.: Infantile vitamin-D-levels determine the risk for type 1-diabetes. Diabetes Stoffwechs. Herz 28, 33-35 (2019)
4.
Beyerlein, A. et al.: Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: Results from the prospective TEDDY study. J. Med. Genet., accepted (2018)
5.
Bonifacio, E.* et al.: Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children. PLoS Med. 15:e1002548 (2018)
6.
Frohnert, B.I.* et al.: Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young. Pediatr. Diabetes 19, 277-283 (2018)
7.
Hippich, M. et al.: Searching peripheral blood mononuclear cells of children with viral respiratory tract infections preceding islet autoimmunity for viruses by high-throughput sequencing. Acta Diabetol. 55, 881-884 (2018)
8.
Kick, K.* et al.: Feasibility and organization of a population-based screening for pre-symptomatic type 1 diabetes in children – Evaluation of the Fr1da study. J. Public Health, accepted (2018)
9.
Pitchika, A. et al.: Associations of maternal type 1 diabetes with childhood adiposity and metabolic health in the offspring: A prospective cohort study. Diabetologia 61, 2319–2332 (2018)
10.
Salami, F.* et al.: Reduction in white blood cell, neutrophil, and red blood cell counts related to sex, HLA, and islet autoantibodies in Swedish TEDDY children at increased risk for type 1 diabetes. Diabetes 67, 2329-2336 (2018)
11.
Sioofy-Khojine, A.* et al.: Molecular epidemiology of enteroviruses in young children at increased risk of type 1 diabetes. PLoS ONE 13:e0201959 (2018)
12.
Smith, L.B.* et al.: Family adjustment to diabetes diagnosis in children: Can participation in a study on type 1 diabetes genetic risk be helpful? Pediatr. Diabetes 19, 1025-1033 (2018)
13.
Stanfill, B.A.* et al.: Quality control analysis in real-time (QC-ART): A tool for real-time quality control assessment of mass spectrometry-based proteomics data. Mol. Cell. Proteomics 17, 1824-1836 (2018)
14.
Winkler, C. ; Kick, K.* ; Haupt, F. & Assfalg, R.: Früherkennung des Typ-1-Diabetes in der Fr1da-Studie: Diagnosestellung im asymptomatischen Stadium. Diabetologe 14, 214-220 (2018)
15.
Winkler, C. & Ziegler, A.-G.: Neue Studie zur Prävention von Typ-1-Diabetes. Diabetes akt. 16, 52-54 (2018)
16.
Beyerlein, A. et al.: Vaccinations in early life are not associated with development of islet autoimmunity in type 1 diabetes high-risk children: Results from prospective cohort data. Vaccine 35, 1735-1741 (2017)
17.
TEDDY Study Group (Beyerlein, A. ; Winkler, C. ; Ziegler, A.-G. ; Hummel, S.) et al.: Intake of energy and protein is associated with overweight risk at age 5.5 years: Results from the prospective TEDDY study. Obesity 25, 1435-1441 (2017)
18.
Hommel, A.* et al.: Screening for type 1 diabetes risk in newborns: The Freder1k pilot study in Saxony. Horm. Metab. Res. 50, 44-49 (2017)
19.
Köhler, M. et al.: Flexible Bayesian additive joint models with an application to type 1 diabetes research. Biom. J. 59, 1144-1165 (2017)
20.
Köhler, M. et al.: Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: Results from the TEDDY study. Acta Diabetol. 54, 1009–1017 (2017)