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1.
Carstensen-Kirberg, M.* et al.: Inverse associations between serum levels of secreted frizzled-related protein-5 (SFRP5) and multiple cardiometabolic risk factors: KORA F4 study. Cardiovasc. Diabetol. 16:109 (2017)
2.
Herder, C.* et al.: Serum levels of interleukin-22, cardiometabolic risk factors and incident type 2 diabetes: KORA F4/FF4 study. Cardiovasc. Diabetol. 16:17 (2017)
3.
Herder, C.* et al.: Independent and opposite associations of serum levels of omentin-1 and adiponectin with increases of glycaemia and incident type 2 diabetes in an older population: KORA F4/FF4 Study. Eur. J. Endocrinol. 177, 277-286 (2017)
4.
Kowall, B.* et al.: Perceived risk of diabetes seriously underestimates actual diabetes risk: The KORA FF4 study. PLoS ONE 12:e0171152 (2017)
5.
Rauh, S.P.* et al.: Predicting glycated hemoglobin levels in the non-diabetic general population: Development and validation of the DIRECTDETECT prediction model-a DIRECT study. PLoS ONE 12:e0171816 (2017)
6.
Adam, J. et al.: Metformin effect on non-targeted metabolite profiles in patients with type 2 diabetes and multiple murine tissues. Diabetes 65, 3776-3785 (2016)
7.
Chen, B.H.* et al.: DNA methylation-based measures of biological age: Meta-analysis predicting time to death. Aging 8, 1844-1865 (2016)
8.
Kollerits, B.* et al.: Plasma concentrations of afamin are associated with the prevalence and incidence of type 2 diabetes mellitus. Atherosclerosis 252, E217-E218 (2016)
9.
Lee, H.S.* et al.: Identification of putative biomarkers for type 2 diabetes using metabolomics in the Korea Association REsource (KARE) cohort. Metabolomics 12:178 (2016)
10.
Wolf, K. et al.: Association between long-term exposure to air pollution and biomarkers related to insulin resistance, subclinical inflammation and adipokines. Diabetes 65, 3314-3326 (2016)
11.
Grabe, H.J.* et al.: Cohort profile: Greifswald approach to individualized medicine (GANI_MED). J. Transl. Med. 12:144 (2014)