PuSH - Publication Server of Helmholtz Zentrum München

42 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. 188, 1033-1054 (2019)
3.
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)
4.
Timmers, P.R.* et al.: Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife 8:e39856 (2019)
5.
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)
6.
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)
7.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
8.
Parmar, P.* et al.: Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216 (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.
Wahl, A. et al.: IgG glycosylation and DNA methylation are interconnected with smoking. Biochim. Biophys. Acta-Gen. Subj. 1862, 637-648 (2018)
11.
Xue, A.* et al.: Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nat. Commun. 9:2941 (2018)
12.
Day, F.R.* et al.: Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk. Nat. Genet. 49, 834-841 (2017)
13.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
14.
Karlsoon Linner, R.* et al.: An epigenome-wide association study meta-analysis of educational attainment. Mol. Psychiatry 22, 1680-1690 (2017)
15.
Manning, A.* et al.: A low-frequency inactivating Akt2 variant enriched in the Finnish population is associated with fasting insulin levels and type 2 diabetes risk. Diabetes 66, 2019-2032 (2017)
16.
Wahl, S. et al.: Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature 541, 81-86 (2017)
17.
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
18.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
19.
Gormley, P.* et al.: Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. Nat. Genet. 48, 856-866 (2016)
20.
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)