PuSH - Publication Server of Helmholtz Zentrum München

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1.
Czamara, D.* et al.: Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nat. Commun. 10:2548 (2019)
2.
Karasik, D.* et al.: Disentangling the genetics of lean mass. Am. J. Clin. Nutr. 109, 276-287 (2019)
3.
Zannas, A.S.* et al.: Epigenetic upregulation of FKBP5 by aging and stress contributes to NF-kappa B-driven inflammation and cardiovascular risk. Proc. Natl. Acad. Sci. U.S.A. 166, 11370-11379 (2019)
4.
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)
5.
Felix, J.F.* et al.: Cohort profile: Pregnancy and childhood epigenetics (PACE) consortium. Int. J. Epidemiol. 47, 22-23u (2018)
6.
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)
7.
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)
8.
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)
9.
Reese, S.E.* et al.: Epigenome-wide meta-analysis of DNA methylation and childhood asthma. J. Allergy Clin. Immunol. 143, 2062-2074 (2018)
10.
Karlsoon Linner, R.* et al.: An epigenome-wide association study meta-analysis of educational attainment. Mol. Psychiatry 22, 1680-1690 (2017)
11.
Zillikens, M.C.* et al.: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:80 (2017)
12.
Zillikens, M.C.* et al.: Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:1414 (2017)
13.
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
14.
de Vries, P.S.* et al.: A meta-analysis of 120,246 individuals identifies 18 new loci for fibrinogen concentration. Hum. Mol. Genet. 25, 358-370 (2016)
15.
Marinelli, M.* et al.: Heritability and genome-wide association analyses of sleep duration in children: The EAGLE Consortium. Sleep 39, 1859-1869 (2016)
16.
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)
17.
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)
18.
Baumert, J.J. et al.: No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: Results from meta-analyses of 80,607 subjects. PLoS ONE 9:e111156 (2014)
19.
Medici, M.* et al.: Identification of novel genetic loci associated with thyroid peroxidase antibodies and clinical thyroid disease. PLoS Genet. 10:e1004123 (2014)
20.
Hek, K.* et al.: A genome-wide association study of depressive symptoms. Biol. Psychiatry 73, 667-678 (2013)