PuSH - Publication Server of Helmholtz Zentrum München

22 Records found.
Zum Exportieren der Ergebnisse bitte einloggen.
Lay all publications on this page into basket
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.
Brazel, D.M.* et al.: Exome chip meta-analysis fine maps causal variants and elucidates the genetic architecture of rare coding variants in smoking and alcohol use. Biol. Psychiatry, accepted (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.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
5.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
6.
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)
7.
Schlicht, K.* et al.: The metabolic network coherence of human transcriptomes is associated with genetic variation at the cadherin 18 locus. Hum. Genet. 138, 375–388 (2019)
8.
Ward-Caviness, C.K. et al.: Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. PLoS ONE 14:e0216222 (2019)
9.
Haljas, K.* et al.: Bivariate genome-wide association study of depressive symptoms with type 2 diabetes and quantitative glycemic traits. Psychosom. Med. 80, 242-251 (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.
Sung, Y.J.* et al.: A large-scale multi-ancestry genome-wide study accounting for smoking behavior identifies multiple significant loci for blood pressure. Am. J. Hum. Genet. 102, 375-400 (2018)
13.
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)
14.
Böger, C.A.* et al.: NFAT5 and SLC4A10 loci associate with plasma osmolality. J. Am. Soc. Nephrol. 28, 2311-2321 (2017)
15.
Direk, N.* et al.: An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype. Biol. Psychiatry 82, 322-329 (2017)
16.
Justice, A.E.* et al.: Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat. Commun. 8:14977 (2017)
17.
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)
18.
Ligthart, S.* et al.: DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol. 17:255 (2016)
19.
Kraja, A.T.* et al.: Pleiotropic genes for metabolic syndrome and inflammation. Mol. Genet. Metab. 112, 317-338 (2014)
20.
Chasman, D.I.* et al.: Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. Hum. Mol. Genet. 21, 5329-5343 (2012)