PuSH - Publication Server of Helmholtz Zentrum München

164 Records found.
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1.
Adlam, D.* et al.: Association of the PHACTR1/EDN1 genetic locus with spontaneous coronary artery dissection. J. Am. Coll. Cardiol. 73, 58-66 (2019)
2.
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)
3.
de Vries, P.S.* et al.: Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol., accepted (2019)
4.
Fiorito, G.* et al.: Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: A multi-cohort analysis. Aging 11, 2045-2070 (2019)
5.
Gängler, S.* et al.: Exposure to disinfection byproducts and risk of type 2 diabetes: A nested case–control study in the HUNT and Lifelines cohorts. Metabolomics 15:60 (2019)
6.
Hawe, J. et al.: Reconstructing regulatory networks from multi-omics data using prior information. Poster: RECOMB 2019, 4-8 May 2019, Washington D.C.. (2019)
7.
Huth, C. et al.: Protein markers and risk of type 2 diabetes and prediabetes: A targeted proteomics approach in the KORA F4/FF4 study. Eur. J. Epidemiol. 34, 409-422 (2019)
8.
Imboden, M.* et al.: Epigenome-wide association study of lung function level and its change. Eur. Respir. J., accepted (2019)
9.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
10.
Klinger-König, J.* et al.: Methylation of the FKBP5 gene in association with FKBP5 genotypes, childhood maltreatment and depression. Neuropsychopharmacology 44, 930-938 (2019)
11.
Laaksonen, J.* et al.: Discovery of mitochondrial DNA variants associated with genome-wide blood cell gene expression: A population-based mtDNA sequencing study. Hum. Mol. Genet. 28, 1381-1391 (2019)
12.
van Setten, J.* et al.: Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. Eur. J. Hum. Genet. 27, 952-962 (2019)
13.
Ward-Caviness, C.K. et al.: Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. PLoS ONE 14:e0216222 (2019)
14.
Zannas, A.S.* et al.: Epigenetic upregulation of FKBP5 by aging and stress contributes to NF-κB-driven inflammation and cardiovascular risk. Proc. Natl. Acad. Sci. U.S.A., accepted (2019)
15.
Aslibekyan, S.* et al.: Association of methylation signals with incident coronary heart disease in an epigenome-wide assessment of circulating tumor necrosis factor. JAMA Cardiol. 3, 463-472 (2018)
16.
Barrios, C.* et al.: Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Sci. Rep. 8:15249 (2018)
17.
Bihlmeyer, N.A.* et al.: ExomeChip-wide analysis of 95 626 individuals identifies 10 novel loci associated with QT and JT intervals. Circ. Genom. Precis. Med. 11:e001758 (2018)
18.
de F C Lichtenfels, A.J.* et al.: Long-term air pollution exposure, genome-wide DNA methylation and lung function in the lifelines cohort study. Environ. Health Perspect. 126:027004 (2018)
19.
Elhadad, M.A. et al.: Using the plasma proteome to decipher metabolic syndrome pathophysiology and discover a diagnostic biomarker panel. Eur. Heart J. 39, 998-998 (2018)
20.
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)