PuSH - Publication Server of Helmholtz Zentrum München

34 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.: Multiancestry 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.
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)
5.
Noordam, R.* et al.: Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals. J. Am. Coll. Cardiol. 73, 3118-3131 (2019)
6.
Evangelou, E.* et al.: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat. Genet. 50, 1412-1425 (2018)
7.
Evangelou, E.* et al.: Erratum to: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (Nature Genetics, (2018), 50, 10, (1412-1425), 10.1038/s41588-018-0205-x). Nat. Genet., accepted (2018)
8.
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)
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.
Liu, C.* et al.: A DNA methylation biomarker of alcohol consumption. Mol. Psychiatry 23, 422-433 (2018)
11.
Nicolas, A.* et al.: Genome-wide analyses identify KIF5A as a novel ALS gene. Neuron 97, 1268-1283.e6 (2018)
12.
Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
13.
Zeller, T.* et al.: Transcriptome-wide analysis identifies novel associations with blood pressure. Hypertension 70, 713-750 (2017)
14.
Joehanes, R.* et al.: Epigenetic signatures of cigarette smoking. Circ. Cardiovasc. Genet. 9, 436-447 (2016)
15.
Lesage, S.* et al.: Loss of VPS13C function in autosomal-recessive parkinsonism causes mitochondrial dysfunction and increases PINK1/Parkin-dependent mitophagy. Am. J. Hum. Genet. 98, 500-513 (2016)
16.
Lin, H.* et al.: Gene-gene interaction analyses for atrial fibrillation. Sci. Rep. 6:35371 (2016)
17.
Okbay, A.* et al.: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624-633 (2016)
18.
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)
19.
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
20.
Gorski, M.* et al.: Genome-wide association study of kidney function decline in individuals of European descent. Kidney Int. 87, 1017–1029 (2015)