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1.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
2.
Liebsch, C.* et al.: The saliva metabolome in association to oral health status. J. Dent. Res., accepted (2019)
3.
Skaaby, T.* et al.: Association of alcohol consumption with allergic disease and asthma: A multi-centre Mendelian randomization analysis. Addiction 114, 216-225 (2019)
4.
Kaul, A.* et al.: Molecular fingerprints of iron parameters among a population-based sample. Nutrients 10:1800 (2018)
5.
Lange, T.* et al.: Comprehensive metabolic profiling reveals a lipid-rich fingerprint of free thyroxine far beyond classic parameters. J. Clin. Endocrinol. Metab. 103, 2050-2060 (2018)
6.
Masuch, A.* et al.: Metabolomic profiling implicates adiponectin as mediator of a favorable lipoprotein profile associated with NT-proBNP. Cardiovasc. Diabetol. 17:120 (2018)
7.
Pietzner, M.* et al.: Hepatic steatosis is associates with adverse molecular signatures in subjects without diabetes. J. Clin. Endocrinol. Metab. 103, 3856-3868 (2018)
8.
Zaghlool, S.B.* et al.: Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation. Hum. Mol. Genet. 27, 1106-1121 (2018)
9.
Do, K.T. et al.: Phenotype-driven identification of modules in a hierarchical map of multifluid metabolic correlations. NPJ Syst. Biol. Appl. 3:28 (2017)
10.
Entenmann, L.* et al.: Comprehensive metabolic characterization of serum osteocalcin action in a large non-diabetic sample. PLoS ONE 12:e0184721 (2017)
11.
Hertel, J.* et al.: Evidence for stress-like alterations in the HPA-Axis in women taking oral contraceptives. Sci. Rep. 7:14111 (2017)
12.
Pietzner, M.* et al.: Comprehensive metabolic profiling of chronic low-grade inflammation among generally healthy individuals. BMC Med. 15:210 (2017)
13.
Piontek, U.* et al.: Sex-specific metabolic profiles of androgens and its main binding protein SHBG in a middle aged population without diabetes. Sci. Rep. 7:2235 (2017)
14.
Rueedi, R.* et al.: Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy. PLoS Comput. Biol. 13, e1005839:e1005839 (2017)
15.
Skaaby, T.* et al.: Investigating the causal effect of smoking on hay fever and asthma: A Mendelian randomization meta-analysis in the CARTA consortium. Sci. Rep. 7:2224 (2017)
16.
Wild, P.S.* et al.: Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. J. Clin. Invest. 127, 1798-1812 (2017)
17.
Budde, K.* et al.: Quality assurance in the pre-analytical phase of human urine samples by 1H-NMR spectroscopy. Arch. Biochem. Biophys. 589, 10-17 (2016)
18.
Cornelis, M.C.* et al.: Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior. Hum. Mol. Genet. 25, 5472-5482 (2016)
19.
Knacke, H.* et al.: Metabolic fingerprints of circulating IGF-I and the IGF-I/IGFBP-3 ration: A multi-fluid metabolomics study. J. Clin. Endocrinol. Metab. 101, 4730-4742:jc20162588 (2016)
20.
Lu, Y.* et al.: New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat. Commun. 7:10495 (2016)