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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)
de Vries, P.S.* et al.: Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol., accepted (2019)
Erzurumluoglu, A.M.* et al.: Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol. Psychiatry, accepted (2019)
Klinger-König, J.* et al.: Methylation of the FKBP5 gene in association with FKBP5 genotypes, childhood maltreatment and depression. Neuropsychopharmacology 44, 930-938 (2019)
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)
Hertel, J.* et al.: Dilution correction for dynamically influenced urinary analyte data. Anal. Chim. Acta 1032, 18-31 (2018)
Parmar, P.* et al.: Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216 (2018)
Rotter, M. et al.: Night shift work affects urine metabolite profiles of nurses with early chronotype. Metabolites 8:45 (2018)
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)
Hertel, J.* et al.: Evidence for stress-like alterations in the HPA-Axis in women taking oral contraceptives. Sci. Rep. 7:14111 (2017)
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)
Power, R.A.* et al.: Genome-wide association for major depression through age at onset stratification: Major depressive disorder working group of the Psychiatric Genomics Consortium. Biol. Psychiatry 81, 325-335 (2017)
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
Cornelis, M.C.* et al.: Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior. Hum. Mol. Genet. 25, 5472-5482 (2016)
Huan, T.* et al.: A whole-blood transcriptome meta-analysis identifies gene expression signatures of cigarette smoking. Hum. Mol. Genet. 25, 4611-4623 (2016)
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)
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)
Friedrich, N.* et al.: Sex differences in urine metabolites related with risk of diabetes using NMR spectroscopy: Results of the study of health in pomerania. Metabolomics 11, 1405-1415 (2015)
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
Peters, M.J.* et al.: The transcriptional landscape of age in human peripheral blood. Nat. Commun. 6:8570 (2015)