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1.
Zannas, A.S.* et al.: Epigenetic upregulation of FKBP5 by aging and stress contributes to NF-kappa B-driven inflammation and cardiovascular risk. Proc. Natl. Acad. Sci. U.S.A. 166, 11370-11379 (2019)
2.
Carmona, J.J.* et al.: Metastable DNA methylation sites associated with longitudinal lung function decline and aging in humans: An epigenome-wide study in the NAS and KORA cohorts. Epigenetics 13, 1039-1055 (2018)
3.
Do, K.T. et al.: Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 14:128 (2018)
4.
Emeny, R.T. et al.: Anxiety associated increased CpG methylation in the promoter of Asb1: A translational approach evidenced by epidemiological and clinical studies and a murine model. Neuropsychopharmacology 43, 342-353 (2018)
5.
Frey, S.* et al.: Prenatal alcohol exposure is associated with adverse cognitive effects and distinct whole-genome DNA methylation patterns in primary school children. Front. Behav. Neurosci. 12:125 (2018)
6.
Haid, M. et al.: Long-Term Stability of Human Plasma Metabolites during Storage at-80 degrees C. J. Proteome Res. 17, 203-211 (2018)
7.
Kindt, A. et al.: Allele-specific methylation of type 1 diabetes susceptibility genes. J. Autoimmun. 89, 63-74 (2018)
8.
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)
9.
Breier, M. et al.: Immediate reduction of serum citrulline but no change of steroid profile after initiation of metformin in individuals with type 2 diabetes. J. Steroid Biochem. Mol. Biol. 174, 114-119 (2017)
10.
Heinrich, H.* et al.: Attention, cognitive control and motivation in ADHD: Linking event-related brain potentials and DNA methylation patterns in boys at early school age. Sci. Rep. 7:3823 (2017)
11.
Herder, C.* et al.: Circulating levels of interleukin 1-receptor antagonist and risk of  cardiovascular disease: Meta-analysis of six population-based cohorts. Arterioscler. Thromb. Vasc. Biol. 37, 1222-1227 (2017)
12.
Jäger, S.* et al.: Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes. Sci. Rep. 7:6037 (2017)
13.
Kaess, B.M.* et al.: Ultra-sensitive troponin I is an independent predictor of incident coronary heart disease in the general population. Eur. J. Epidemiol. 32, 583–591 (2017)
14.
Lee, H.K. et al.: Allele-specific quantitative proteomics unravels molecular mechanisms modulated by cis-regulatory PPARG locus variation. Nucleic Acids Res. 45, 3266-3279 (2017)
15.
Molnos, S. et al.: Metabolite ratios as potential biomarkers for type 2 diabetes: A DIRECT study. Diabetologia 61, 117-129 (2017)
16.
Molnos, S. et al.: pulver: An R package for parallel ultra-rapid p-value computation for linear regression interaction terms. BMC Bioinformatics 18:429 (2017)
17.
Rzehak, P.* et al.: DNA-methylation and body composition in preschool children: Epigenome-wide-analysis in the European Childhood Obesity Project (CHOP)-Study. Sci. Rep. 7:14349 (2017)
18.
von Loeffelholz, C.* et al.: Increased lipogenesis in spite of upregulated hepatic 5'AMP-activated protein kinase in human non-alcoholic fatty liver. Hepatol. Res. 47, 890-901 (2017)
19.
Wahl, S. et al.: Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature 541, 81-86 (2017)
20.
Wilson, R. et al.: The dynamics of smoking-related disturbed methylation: A two time-point study of methylation change in smokers, non-smokers and former smokers. BMC Genomics 18:805 (2017)