PuSH - Publication Server of Helmholtz Zentrum München

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1.
Riedl, A. et al.: Modifying effect of metabotype on diet–diabetes associations. Eur. J. Nutr., accepted (2019)
2.
Bamberg, F.* et al.: Subclinical disease burden as assessed by whole-body MRI in subjects with prediabetes, subjects with diabetes, and normal control subjects from the general population: The KORA-MRI study. Diabetes 66, 158-169 (2017)
3.
Herder, C.* et al.: Proinflammatory cytokines predict the incidence and progression of distal sensorimotor polyneuropathy: KORA F4/FF4 Study. Diabetes Care 40, 569-576 (2017)
4.
Dietrich, S.* et al.: Random survival forest in practice: A method for modelling complex metabolomics data in time to event analysis. Int. J. Epidemiol. 45, 1406-1420 (2016)
5.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
6.
Kilpeläinen, T.O.* et al.: Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat. Commun. 7:10494 (2016)
7.
Kriebel, J. et al.: Association between DNA methylation in whole blood and measures of glucose metabolism: Kora F4 study. PLoS ONE 11:e0152314 (2016)
8.
Lessard, S.* et al.: Testing the role of predicted gene knockouts in human anthropometric trait variation. Hum. Mol. Genet. 25, 2082-2092 (2016)
9.
Rosenbauer, J. et al.: Re: Ambient air pollution and early manifestation of type 1 diabetes. Epidemiology 27, E25-E26 (2016)
10.
Schöttker, B.* et al.: HbA1c levels in non-diabetic older adults - no J-shaped associations with primary cardiovascular events, cardiovascular and all-cause mortality after adjustment for confounders in a meta-analysis of individual participant data from six cohort studies. BMC Med. 14:26 (2016)
11.
Stöckl, D. et al.: Regional variability of lifestyle factors and hypertension with prediabetes and newly diagnosed type 2 diabetes mellitus: The population-based KORA-F4 and SHIP-TREND studies in Germany. PLoS ONE 11:e0156736 (2016)
12.
Then, C. et al.: Altered relation of the renin-aldosterone system and vasoactive peptides in type 2 diabetes: The KORA F4 study. Atherosclerosis 252, 88-96 (2016)
13.
Then, C. et al.: Dataset of the associations of aldosterone to renin ratio with MR-proANP and MR-proADM. Data Brief 8, 1395-1399 (2016)
14.
von Toerne, C. et al.: MASP1, THBS1, GPLD1 and ApoA-IV are novel biomarkers associated with prediabetes: The KORA F4 study. Diabetologia 59, 1882-1892 (2016)
15.
Bartel, J. et al.: The human blood metabolome-transcriptome interface. PLoS Genet. 11:e1005274 (2015)
16.
Bongaerts, B.W.* et al.: A clinical screening score for diabetic polyneuropathy: KORA F4 and AusDiab studies. J. Diab. Complic. 29, 44-49 (2015)
17.
Herder, C.* et al.: Differential association between biomarkers of subclinical inflammation and painful polyneuropathy: Results from the KORA F4 study. Diabetes Care 38, 91-96 (2015)
18.
Herder, C.* et al.: Adiponectin may mediate the association between omentin, circulating lipids and insulin sensitivity: Results from the KORA F4 study. Eur. J. Endocrinol. 172, 423-432 (2015)
19.
Herder, C.* et al.: Low serum omentin levels in the elderly population with type 2 diabetes and polyneuropathy. Diabetic Med. 32, 1479-1483 (2015)
20.
Homuth, G.* et al.: Extensive alterations of the whole-blood transcriptome are associated with body mass index: Results of an mRNA profiling study involving two large population-based cohorts. BMC Med. Genomics 8:65 (2015)