PuSH - Publication Server of Helmholtz Zentrum München

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1.
Gonzalez-Jaramillo, V.* et al.: Epigenetics and inflammatory markers: A systematic review of the current evidence. Int. J. Inflam. 2019:6273680 (2019)
2.
Liu, J.* et al.: An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis. Nat. Commun. 10:2581 (2019)
3.
Ma, J.* et al.: A peripheral blood DNA methylation signature of hepatic fat reveals a potential causal pathway for non-alcoholic fatty liver disease. Diabetes 68, 1073-1083 (2019)
4.
Tzoulaki, I.* et al.: Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease. Eur. Heart J., accepted (2019)
5.
Ward-Caviness, C.K. et al.: Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. PLoS ONE 14:e0216222 (2019)
6.
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)
7.
Yu, B.* et al.: The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 prospective cohort studies. Am. J. Epidemiol. 188, 991-1012 (2019)
8.
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)
9.
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)
10.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
11.
Mahajan, A.* et al.: Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 50, 1505-1513 (2018)
12.
Ward-Caviness, C.K. et al.: DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood 132, 1842-1850 (2018)
13.
‘t Hart, L.M.* et al.: Blood metabolomic measures associate with present and future glycemic control in type 2 diabetes. J. Clin. Endocrinol. Metab. 103, 4569-4579 (2018)
14.
Böger, C.A.* et al.: NFAT5 and SLC4A10 loci associate with plasma osmolality. J. Am. Soc. Nephrol. 28, 2311-2321 (2017)
15.
Braenne, I.* et al.: Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk. PLoS ONE 12:e0182999 (2017)
16.
Braenne, I.* et al.: A genomic exploration identifies mechanisms that may explain adverse cardiovascular effects of COX-2 inhibitors. Sci. Rep. 7:10252 (2017)
17.
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
18.
Gregson, J.M.* et al.: Genetic invalidation of Lp-PLA2 as a therapeutic target: Large-scale study of five functional Lp-PLA2-lowering alleles. Eur. J. Prev. Cardiol. 24, 492-504 (2017)
19.
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)
20.
Li, M.* et al.: SOS2 and ACP1 loci identified through large-scale exome chip analysis regulate kidney development and function. J. Am. Soc. Nephrol. 28, 981-994 (2017)