PuSH - Publication Server of Helmholtz Zentrum München

86 Records found.
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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. 188, 1033-1054 (2019)
3.
Erzurumluoglu, A.M.* et al.: Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol. Psychiatry, accepted (2019)
4.
Klinger-König, J.* et al.: Methylation of the FKBP5 gene in association with FKBP5 genotypes, childhood maltreatment and depression. Neuropsychopharmacology 44, 930-938 (2019)
5.
Liebsch, C.* et al.: The saliva metabolome in association to oral health status. J. Dent. Res. 98, 642-651 (2019)
6.
Masuch, A.* et al.: Metabolic signature associated with parameters of the complete blood count in apparently healthy individuals. J. Cell. Mol. Med., accepted (2019)
7.
Skaaby, T.* et al.: Association of alcohol consumption with allergic disease and asthma: A multi-centre Mendelian randomization analysis. Addiction 114, 216-225 (2019)
8.
Timmers, P.R.* et al.: Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife 8:e39856 (2019)
9.
Wuttke, M.* et al.: A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat. Genet. 51, 957-972 (2019)
10.
Kaul, A.* et al.: Molecular fingerprints of iron parameters among a population-based sample. Nutrients 10:1800 (2018)
11.
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)
12.
Ligthart, S.* et al.: Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. Am. J. Hum. Genet. 103, 691-706 (2018)
13.
Masuch, A.* et al.: Metabolomic profiling implicates adiponectin as mediator of a favorable lipoprotein profile associated with NT-proBNP. Cardiovasc. Diabetol. 17:120 (2018)
14.
Parmar, P.* et al.: Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216 (2018)
15.
Pietzner, M.* et al.: Hepatic steatosis is associates with adverse molecular signatures in subjects without diabetes. J. Clin. Endocrinol. Metab. 103, 3856-3868 (2018)
16.
Ptushkina, V.* et al.: Regional differences of macrovascular disease in Northeast and South Germany: The population-based SHIP-TREND and KORA-F4 studies. BMC Public Health 18:1331 (2018)
17.
Xue, A.* et al.: Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nat. Commun. 9:2941 (2018)
18.
Böger, C.A.* et al.: NFAT5 and SLC4A10 loci associate with plasma osmolality. J. Am. Soc. Nephrol. 28, 2311-2321 (2017)
19.
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)
20.
Entenmann, L.* et al.: Comprehensive metabolic characterization of serum osteocalcin action in a large non-diabetic sample. PLoS ONE 12:e0184721 (2017)