PuSH - Publication Server of Helmholtz Zentrum München

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1.
Warren, H.R.* et al.: Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat. Genet. 49, 403-415 (2017)
2.
Lu, Y.* et al.: New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat. Commun. 7:10495 (2016)
3.
Gorski, M.* et al.: Genome-wide association study of kidney function decline in individuals of European descent. Kidney Int. 87, 1017–1029 (2015)
4.
Joshi, P.K.* et al.: Directional dominance on stature and cognition in diverse human populations. Nature 523, 459-462 (2015)
5.
Lieb, W.* et al.: Genome-wide meta-analyses of plasma renin activity and concentration reveal association with the kininogen 1 and prekallikrein genes. Circ. Cardiovasc. Genet. 8, 131-140 (2015)
6.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
7.
Shungin, D.* et al.: New genetic loci link adipose and insulin biology to body fat distribution. Nature 518, 187-196 (2015)
8.
Winkler, T.W.* et al.: The influence of age and sex on genetic associations with adult body size and shape: A large-scale genome-wide interaction study. PLoS Genet. 11:e1005378 (2015)
9.
Emerging Risk Factors Collaboration (Meisinger, C.) et al.: Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA 311, 1225-1233 (2014)
10.
Wood, A.R.* et al.: Defining the role of common variation in the genomic and biological architecture of adult human height. Nat. Genet. 46, 1173-1186 (2014)
11.
Köttgen, A.* et al.: Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat. Genet. 45, 145-154 (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.
Abbasi, A.* et al.: External validation of the KORA S4/F4 prediction models for the risk of developing type 2 diabetes in older adults: The PREVEND study. Eur. J. Epidemiol. 27, 47-52 (2012)
14.
Emerging Risk Factors Collaboration (Döring, A. ; Meisinger, C.) et al.: C-reactive protein, fibrinogen, and cardiovascular disease prediction. N. Engl. J. Med. 367, 1310-1320 (2012)
15.
Schumann, G.* et al.: Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proc. Natl. Acad. Sci. U.S.A. 108, 7119-7124 (2011)