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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)
Ligthart, S.* et al.: Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. Am. J. Hum. Genet. 103, 691-706 (2018)
Lin, H.* et al.: Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circ. Genom. Precis. Med. 11:e002037 (2018)
Masuch, A.* et al.: Metabolomic profiling implicates adiponectin as mediator of a favorable lipoprotein profile associated with NT-proBNP. Cardiovasc. Diabetol. 17:120 (2018)
Parmar, P.* et al.: Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216 (2018)
Prins, B.P.* et al.: Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 19:87 (2018)
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)
Christophersen, I.E.* et al.: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. Nat. Genet. 49, 946-952 (2017)
Christophersen, I.E.* et al.: Fifteen genetic loci associated with the electrocardiographic P wave. Circ. Cardiovasc. Genet. 10:e001667 (2017)
van den Berg, M.* et al.: Discovery of novel heart rate-associated loci using the Exome Chip. Hum. Mol. Genet. 26, 2346-2363 (2017)
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)
Wild, P.S.* et al.: Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. J. Clin. Invest. 127, 1798-1812 (2017)
Zeller, T.* et al.: Transcriptome-wide analysis identifies novel associations with blood pressure. Hypertension 70, 713-750 (2017)
Neuhauser, H.* et al.: Bluthochdruck in Deutschland. Dtsch. Ärztebl. 113, 809-815 (2016)
van der Harst, P.* et al.: 52 Genetic loci influencing myocardial mass. J. Am. Coll. Cardiol. 68, 1435-1448 (2016)
Friedrich, N.* et al.: Sex differences in urine metabolites related with risk of diabetes using NMR spectroscopy: Results of the study of health in pomerania. Metabolomics 11, 1405-1415 (2015)
Huan, T.* et al.: A meta-analysis of gene expression signatures of blood pressure and hypertension. PLoS Genet. 11:e1005035 (2015)
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
Arking, D.E.* et al.: Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. Nat. Genet. 46, 826-836 (2014)
Grabe, H.J.* et al.: Cohort profile: Greifswald approach to individualized medicine (GANI_MED). J. Transl. Med. 12:144 (2014)