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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)
Merz, B.* et al.: Specific metabolic markers are associated with future waist-gaining phenotype in women. PLoS ONE 11:e0157733 (2016)
Schulte, E.C. et al.: Alterations in lipid and inositol metabolisms in two dopaminergic disorders. PLoS ONE 11:e0147129 (2016)
Sekula, P.* et al.: A metabolome-wide association study of kidney function and disease in the general population. J. Am. Soc. Nephrol. 27, 1175-1188 (2016)
Suhre, K. ; Raffler, J. & Kastenmüller, G.: Biochemical insights from population studies with genetics and metabolomics. Arch. Biochem. Biophys. 589, 168-176 (2016)
Vogt, S. et al.: Characterization of the metabolic profile associated with serum 25-hydroxyvitamin D: A cross-sectional analysis in population-based data. Int. J. Epidemiol. 45, 1469-1481 (2016)
Yet, I.* et al.: Genetic influences on metabolite levels: A comparison across metabolomic platforms. PLoS ONE 11:e0153672 (2016)
Yousri, N.A.* et al.: Diagnostic and prognostic metabolites identified for joint symptoms in the KORA population. J. Proteome Res. 15, 554-562 (2016)
Zaghlool, S.B.* et al.: Mendelian inheritance of trimodal CpG methylation sites suggests distal cis-acting genetic effects. Clin. Epigenet. 8:124 (2016)
Zierer, J. et al.: Metabolomics profiling reveals novel markers for leukocyte telomere length. Aging 8, 77-94 (2016)
Ameling, S.* et al.: Associations of circulating plasma microRNAs with age, body mass index and sex in a population-based study. BMC Med. Genomics 8:61 (2015)
Arnold, M. ; Raffler, J. ; Pfeufer, A. ; Suhre, K. & Kastenmüller, G.: SNiPA: An interactive, genetic variant-centered annotation browser. Bioinformatics 31, 1334-1336 (2015)
Bartel, J. et al.: The human blood metabolome-transcriptome interface. PLoS Genet. 11:e1005274 (2015)
Brandmaier, S. et al.: Response to Comment on Xu et al. Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes. Diabetes Care 2015;38:1858-1867. Diabetes Care 38, e216-e217 (2015)
Do, K.T. et al.: Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva. J. Proteome Res. 14, 1183-1194 (2015)
Draisma, H.H.* et al.: Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels. Nat. Commun. 6:7208 (2015)
Dumas, M.E.* ; Adamski, J. & Suhre, K.: Guest editorial: Special issue on metabolomics. Arch. Biochem. Biophys. 589, 1-3 (2015)
Friedrich, N.* et al.: Sex differences in urine metabolites related with risk of diabetes using NMR spectroscopy: Results of the study of health in pomerania. Metabolomics 11, 1405-1415 (2015)
Halama, A.* et al.: Metabolic signatures differentiate ovarian from colon cancer cell lines. J. Transl. Med. 13:223 (2015)
Halama, A. et al.: Metabolic switch during adipogenesis: From branched chain amino acid catabolism to lipid synthesis. Arch. Biochem. Biophys. 589, 93-107 (2015)