PuSH - Publication Server of Helmholtz Zentrum München

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1.
Ittermann, T.* et al.: Changes in fat mass and fat-free-mass are associated with incident hypertension in four population-based studies from Germany. Int. J. Cardiol. 274, 372-377 (2019)
2.
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)
3.
Ward-Caviness, C.K. et al.: Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. PLoS ONE 14:e0216222 (2019)
4.
Bihlmeyer, N.A.* et al.: ExomeChip-wide analysis of 95 626 individuals identifies 10 novel loci associated with QT and JT intervals. Circ. Genom. Precis. Med. 11:e001758 (2018)
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.
Herrmann, W.J.* et al.: Assessing incident cardiovascular and metabolic diseases in epidemiological cohort studies in Germany. Bundesgesundheitsbl.-Gesund. 61, 420-431 (2018)
8.
Lin, H.* et al.: Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circ. Genom. Precis. Med. 11:e002037 (2018)
9.
Markus, M.R.P.* et al.: Prediabetes is associated with microalbuminuria, reduced kidney function and chronic kidney disease in the general population The KORA (Cooperative Health Research in the Augsburg Region) F4-Study. Nutr. Metab. Cardiovasc. Dis. 28, 234-242 (2018)
10.
Masuch, A.* et al.: Metabolomic profiling implicates adiponectin as mediator of a favorable lipoprotein profile associated with NT-proBNP. Cardiovasc. Diabetol. 17:120 (2018)
11.
Roselli, C.* et al.: Multi-ethnic genome-wide association study for atrial fibrillation. Nat. Genet. 50, 1225–1233 (2018)
12.
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)
13.
van Setten, J.* et al.: PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. Nat. Commun. 9:2904 (2018)
14.
Christophersen, I.E.* et al.: Fifteen genetic loci associated with the electrocardiographic P wave. Circ. Cardiovasc. Genet. 10:e001667 (2017)
15.
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)
16.
Weng, L.C.* et al.: Genetic interactions with age, sex, body mass index, and hypertension in relation to atrial fibrillation: The AFGen Consortium. Sci. Rep. 7:11303 (2017)
17.
Zeller, T.* et al.: Transcriptome-wide analysis identifies novel associations with blood pressure. Hypertension 70, 713-750 (2017)
18.
Lin, H.* et al.: Gene-gene interaction analyses for atrial fibrillation. Sci. Rep. 6:35371 (2016)
19.
McCarthy, S.* et al.: A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279-1283 (2016)
20.
Neuhauser, H.* et al.: Bluthochdruck in Deutschland. Dtsch. Ärztebl. 113, 809-815 (2016)