PuSH - Publication Server of Helmholtz Zentrum München

46 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., accepted (2019)
3.
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)
4.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
5.
Kunkle, B.W.* et al.: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 51, 414-430 (2019)
6.
Jovanova, O.S.* et al.: DNA methylation signatures of depressive symptoms in middle-aged and elderly persons meta-analysis of multiethnic epigenome-wide studies. JAMA psychiatry 75, 949-959 (2018)
7.
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)
8.
Liu, C.* et al.: A DNA methylation biomarker of alcohol consumption. Mol. Psychiatry 23, 422-433 (2018)
9.
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)
10.
Aschard, H.* et al.: Evidence for large-scale gene-by-smoking interaction effects on pulmonary function. Int. J. Epidemiol. 46, 894-904 (2017)
11.
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)
12.
Liu, D.J.* et al.: Exome-wide association study of plasma lipids in >300,000 individuals. Nat. Genet. 49, 1758-1766 (2017)
13.
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)
14.
Wild, P.S.* et al.: Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. J. Clin. Invest. 127, 1798-1812 (2017)
15.
Chen, B.H.* et al.: DNA methylation-based measures of biological age: Meta-analysis predicting time to death. Aging 8, 1844-1865 (2016)
16.
Cheng, Y.C.* et al.: Genome-wide association analysis of young onset stroke identifies a locus on chromosome 10q25 near HABP2. Stroke 47, 307-316 (2016)
17.
Ehret, G.B.* et al.: The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat. Genet. 48, 1171-1184 (2016)
18.
Joehanes, R.* et al.: Epigenetic signatures of cigarette smoking. Circ. Cardiovasc. Genet. 9, 436-447 (2016)
19.
Ligthart, S.* et al.: DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol. 17:255 (2016)
20.
Holmes, M.V.* et al.: Mendelian randomization of blood lipids for coronary heart disease. Eur. Heart J. 36, 539-550 (2015)