PuSH - Publication Server of Helmholtz Zentrum München

53 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.
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.
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.
Jiang, X.* et al.: Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat. Commun. 9:260 (2018)
8.
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)
9.
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)
10.
Liu, D.J.* et al.: Exome-wide association study of plasma lipids in >300,000 individuals. Nat. Genet. 49, 1758-1766 (2017)
11.
Shungin, D.* et al.: Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions. PLoS Genet. 13:e1006812 (2017)
12.
Winkler, T.W.* et al.: Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation. PLoS ONE 12:e0181038 (2017)
13.
Lu, Y.* et al.: New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat. Commun. 7:10495 (2016)
14.
Scott, R.A.* et al.: A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci. Transl. Med. 8:341ra76 (2016)
15.
Smith, J.G.* et al.: Discovery of genetic variation on chromosome 5q22 associated with mortality in heart failure. PLoS Genet. 12:e1006034 (2016)
16.
Winkler, T.W.* et al.: Correction: The influence of age and sex on genetic associations with adult body size and shape: A large-scale genome-wide interaction study. PLoS Genet. 12:e1006166 (2016)
17.
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)
18.
Joshi, P.K.* et al.: Directional dominance on stature and cognition in diverse human populations. Nature 523, 459-462 (2015)
19.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
20.
Shungin, D.* et al.: New genetic loci link adipose and insulin biology to body fat distribution. Nature 518, 187-196 (2015)