PuSH - Publication Server of Helmholtz Zentrum München

28 Records found.
Zum Exportieren der Ergebnisse bitte einloggen.
Lay all publications on this page into basket
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.
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)
5.
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)
6.
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)
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.
Wain, L.V.* et al.: Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney. Hypertension 70, e4-e19 (2017)
9.
Walford, G.A.* et al.: Genome-wide association study of the modified Stumvoll Insulin Sensitivity Index identifies BCL2 and FAM19A2 as novel insulin sensitivity loci. Diabetes 65, 3200-3211 (2016)
10.
Ganesh, S.K.* et al.: Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. Am. J. Hum. Genet. 95, 49-65 (2014)
11.
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)
12.
Simino, J.* et al.: Gene-age interactions in blood pressure regulation: A large-scale investigation with the CHARGE, Global BPgen, and ICBP consortia. Am. J. Hum. Genet. 95, 24-38 (2014)
13.
Hek, K.* et al.: A genome-wide association study of depressive symptoms. Biol. Psychiatry 73, 667-678 (2013)
14.
Reiner, A.P.* et al.: Genome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia. Hum. Mol. Genet. 22, 3381-3393 (2013)
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.
Murabito, J.M.* et al.: Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. Circ. Cardiovasc. Genet. 5, 100-112 (2012)
17.
Bis, J.C.* et al.: Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque. Nat. Genet. 43, 940-947 (2011)
18.
Dehghan, A.* et al.: Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels. Circulation 123, 731-738 (2011)
19.
Kaplan, R.C.* et al.: A genome-wide association study identifies novel loci associated with circulating IGF-I and IGFBP-3. Hum. Mol. Genet. 20, 1241-1251 (2011)
20.
Barbalic, M.* et al.: Large-scale genomic studies reveal central role of ABO in sP-selectin and sICAM-1 levels. Hum. Mol. Genet. 19, 1863-1872 (2010)