PuSH - Publication Server of Helmholtz Zentrum München

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1.
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)
2.
Sioofy-Khojine, A.* et al.: Molecular epidemiology of enteroviruses in young children at increased risk of type 1 diabetes. PLoS ONE 13:e0201959 (2018)
3.
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)
4.
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)
5.
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)
6.
Koletzko, S.* et al.: Cesarean section on the risk of celiac disease in the offspring: The Teddy Study. J. Pediatr. Gastroenterol. Nutr. 66, 417-424 (2017)
7.
Krischer, J.P.* et al.: The influence of type 1 diabetes genetic susceptibility regions, age, sex, and family history to the progression from multiple autoantibodies to type 1 diabetes: A TEDDY Study Report. Diabetes 66, 3122-3129 (2017)
8.
Lönnrot, M.* et al.: Respiratory infections are temporally associated with initiation of type 1 diabetes autoimmunity: The TEDDY study. Diabetologia 60, 1931-1940 (2017)
9.
Smith, L.B.* et al.: Psychological manifestations of celiac disease autoimmunity in young children. Pediatrics 139:e20162848 (2017)
10.
Steck, A.K.* et al.: Residual beta-cell function in diabetes children followed and diagnosed in the TEDDY study compared to community controls. Pediatr. Diabetes 18, 794-802 (2017)
11.
Amoroso, M.* et al.: 3 screen islet cell autoantibody ELISA: A sensitive and specific ELISA for the combined measurement of autoantibodies to GAD65, TO IA-2 and TO ZnT8. Clin. Chim. Acta 462, 60-64 (2016)
12.
Kirsten, H.* et al.: Genetic variants of lipase activity in chronic pancreatitis. Gut 65, 184-185 (2016)
13.
Raab, J. et al.: Capillary blood islet autoantibody screening for identifying pre-type 1 diabetes in the general population: Design and initial results of the Fr1da study. BMJ Open 6:e011144 (2016)
14.
Vehik, K.* et al.: Reversion of β-cell autoimmunity changes risk of type 1 diabetes: TEDDY study. Diabetes Care 39, 1535-1542 (2016)
15.
Ziegler, A.-G. et al.: 3 screen ELISA for high-throughput detection of beta cell autoantibodies in capillary blood. Diabetes Technol. Ther. 18, 687-693 (2016)
16.
Derikx, M.H.* et al.: Polymorphisms at PRSS1-PRSS2 and CLDN2-MORC4 loci associate with alcoholic and non-alcoholic chronic pancreatitis in a European replication study. Gut 64, 1426-1433 (2015)
17.
Giannopoulou, E.Z. et al.: Islet autoantibody phenotypes and incidence in children at increased risk for type 1 diabetes. Diabetologia 58, 2317-2323 (2015)
18.
Tönjes, A.* et al.: Genome wide meta-analysis highlights the role of genetic variation in RARRES2 in the regulation of circulating serum chemerin. PLoS Genet. 10:e1004854 (2015)
19.
Yang, Q.* ; Boehm, C.* ; Scholz, M.* ; Plant, C. & Shao, J.*: Predicting multiple functions of sustainable flood retention basins under uncertainty via multi-instance multi-label learning. Water 7, 1359-1377 (2015)
20.
Breitfeld, J.* et al.: Genome wide meta-analysis highlights the role of genetic variation in RARRES2 in regulation of circulating serum chemerin. Diabetologia 57, S67-S68 (2014)