PuSH - Publication Server of Helmholtz Zentrum München

18 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.
Brazel, D.M.* et al.: Exome chip meta-analysis fine maps causal variants and elucidates the genetic architecture of rare coding variants in smoking and alcohol use. Biol. Psychiatry, accepted (2019)
3.
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)
4.
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)
5.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
6.
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)
7.
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)
8.
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)
9.
Li, M.* et al.: SOS2 and ACP1 loci identified through large-scale exome chip analysis regulate kidney development and function. J. Am. Soc. Nephrol. 28, 981-994 (2017)
10.
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
11.
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)
12.
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)
13.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat. Genet. 47, 1294-1303 (2015)
14.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility, and BRCA1-mediated DNA repair. Obstet. Gynecol. 70, 758-762 (2015)
15.
Joshi, P.K.* et al.: Directional dominance on stature and cognition in diverse human populations. Nature 523, 459-462 (2015)
16.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
17.
Nead, K.T.* et al.: Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: A systematic review and meta-analysis with evidence from up to 331 175 individuals. Hum. Mol. Genet. 24, 3582-3594 (2015)
18.
Rietveld, C.A.* et al.: GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 340, 1467-1471 (2013)