PuSH - Publication Server of Helmholtz Zentrum München

20 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., accepted (2019)
3.
Kilpeläinen, T.O.* et al.: Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat. Commun. 10:376 (2019)
4.
Feitosa, M.F.* et al.: Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLoS ONE 13:e0198166 (2018)
5.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
6.
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)
7.
Saleheen, D.* et al.: Loss of cardioprotective effects at the ADAMTS7 locus as a result of gene-smoking interactions. Circulation 135, 2336-2353 (2017)
8.
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)
9.
Kraja, A.T.* et al.: Pleiotropic genes for metabolic syndrome and inflammation. Mol. Genet. Metab. 112, 317-338 (2014)
10.
Ng, M.C.Y.* et al.: Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet. 10:e100451 (2014)
11.
Berndt, S.I.* et al.: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat. Genet. 45, 501-512 (2013)
12.
Randall, J.C.* et al.: Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet. 9:e1003500 (2013)
13.
Billings, L.K.* et al.: Impact of common variation in bone-related genes on type 2 diabetes and related traits. Diabetes 61, 2176-2186 (2012)
14.
Boraska, V.* et al.: Genome-wide association study to identify common variants associated with brachial circumference: A meta-analysis of 14 cohorts. PLoS ONE 7:e31369 (2012)
15.
Manning, A.K.* et al.: A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat. Genet. 44, 659-669 (2012)
16.
O'Donnell, C.J.* et al.: Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction. Circulation 124, 2855-2864 (2012)
17.
Scott, R.A.* et al.: Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat. Genet. 44, 991-1005 (2012)
18.
Yang, J.* et al.: FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272 (2012)
19.
Allen, H.L.* et al.: Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838 (2010)
20.
Dupuis, J.* et al.: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat. Genet. 42, 105-116 (2010)