PuSH - Publication Server of Helmholtz Zentrum München

15 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.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
4.
Sung, Y.J.* et al.: A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum. Mol. Genet., accepted (2019)
5.
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)
6.
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)
7.
Böger, C.A.* et al.: NFAT5 and SLC4A10 loci associate with plasma osmolality. J. Am. Soc. Nephrol. 28, 2311-2321 (2017)
8.
Nolte, I.M.* et al.: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat. Commun. 8:15805 (2017)
9.
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
10.
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
11.
Coffee and Caffeine Genetics Consortium et al.: Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol. Psychiatry 20, 647-656 (2015)
12.
Keller, M.F.* et al.: Trans-ethnic meta-analysis of white blood cell phenotypes. Hum. Mol. Genet. 23, 6944-6960 (2014)
13.
Ng, M.C.Y.* et al.: Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet. 10:e100451 (2014)
14.
Hek, K.* et al.: A genome-wide association study of depressive symptoms. Biol. Psychiatry 73, 667-678 (2013)
15.
Smith, J.G.* et al.: Genome-wide association studies of the PR interval in African Americans. PLoS Genet. 7:e1001304 (2011)