PuSH - Publication Server of Helmholtz Zentrum München

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1.
Bentley, A.R.* et al.: Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat. Genet. 51, 636-648 (2019)
2.
de Vries, P.S.* et al.: Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol., accepted (2019)
3.
Liebsch, C.* et al.: The saliva metabolome in association to oral health status. J. Dent. Res., accepted (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.
Müller-Nurasyid, M. et al.: Pharmacogenetic effects in population-based metabolic profiles. Genet. Epidemiol. 42, 719-720 (2018)
8.
Pietzner, M.* et al.: Hepatic steatosis is associates with adverse molecular signatures in subjects without diabetes. J. Clin. Endocrinol. Metab. 103, 3856-3868 (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.
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)
15.
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)
16.
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)
17.
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)
18.
Gorski, M.* et al.: Genome-wide association study of kidney function decline in individuals of European descent. Kidney Int. 87, 1017–1029 (2015)
19.
Krumsiek, J. et al.: Gender-specific pathway differences in the human serum metabolome. Metabolomics 11, 1815-1833 (2015)
20.
Raffler, J. et al.: Genome-wide association study with targeted and non-targeted NMR metabolomics identifies 15 novel loci of urinary human metabolic individuality. PLoS Genet. 11:e1005487 (2015)