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1.
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)
2.
Pulit, S.L.* et al.: Atrial fibrillation genetic risk differentiates cardioembolic stroke from other stroke subtypes. Neurol. Genet. 4:e293 (2018)
3.
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)
4.
Nolte, I.M.* et al.: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat. Commun. 8:15805 (2017)
5.
Smith, J.G.* et al.: Discovery of genetic variation on chromosome 5q22 associated with mortality in heart failure. PLoS Genet. 12:e1006034 (2016)
6.
van der Harst, P.* et al.: 52 Genetic loci influencing myocardial mass. J. Am. Coll. Cardiol. 68, 1435-1448 (2016)
7.
Thiele, I. et al.: Associations between calcium and vitamin D supplement use as well as their serum concentrations and subclinical cardiovascular disease phenotypes. Atherosclerosis 241, 743-751 (2015)
8.
Voss, A.* ; Schroeder, R.* ; Heitmann, A.* ; Peters, A. & Perz, S.: Short-term heart rate variability-influence of gender and age in healthy subjects. PLoS ONE 10:e0118308 (2015)
9.
Ziegler, D.* et al.: Increased prevalence of cardiac autonomic dysfunction at different degrees of glucose intolerance in the general population: The KORA S4 survey. Diabetologia 58, 1118-1128 (2015)
10.
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)
11.
Röhrig, N.* et al.: Directed acyclic graphs helped to identify confounding in the association of disability and electrocardiographic findings: Results from the KORA-Age study. J. Clin. Epidemiol. 67, 199-206 (2014)
12.
Voss, A.* et al.: Influence of age and gender on complexity measures for short term heart rate variability analysis in healthy subjects. In: Conf. Proc. IEEE Eng. Med. Biol. Soc. (35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, 3 - 7 July 2013, Osaka, Japan). Piscataway, NJ: IEEE, 2013. 5574-5577:6610813 ( ; 2013)
13.
Ziegler, D.* et al.: Prevalence and risk factors of cardiac autonomic nerve dysfunction in the elderly population with diabetes and prediabetes: The KORA S4 survey. Diabetologia 56, S492 (2013)
14.
Ellinor, P.T.* et al.: Meta-analysis identifies six new susceptibility loci for atrial fibrillation. Nat. Genet. 44, 670-675 (2012)
15.
Kääb, S.* et al.: A large candidate gene survey identifies the KCNE1 D85N polymorphism as a possible modulator of drug-induced torsades de pointes. Circ. Cardiovasc. Genet. 5, 91-99 (2012)
16.
Sinner, M.F.* et al.: A meta-analysis of genome-wide association studies of the electrocardiographic early repolarization pattern. Heart Rhythm 9, 1627-1634 (2012)
17.
Voss, A.* ; Heitmann, A.* ; Schroeder, R.* ; Peters, A. & Perz, S.: Short-term heart rate variability - age dependence in healthy subjects. Physiol. Meas. 33, 1289-1311 (2012)
18.
Heitmann, A.* ; Huebner, T.* ; Schroeder, R.* ; Perz, S. & Voss, A.*: Multivariate short-term heart rate variability: A pre-diagnostic tool for screening heart disease. Med. Biol. Eng. Comput. 49, 41-50 (2011)
19.
Peters, A. et al.: Multimorbidität und erfolgreiches Altern. Ein Blick auf die Bevölkerung im Rahmen der KORA-Age-Studie. Z. Gerontol. Geriatr. 44, Suppl. 2, 2, 41-54 (2011)
20.
Sinner, M.F.* et al.: Lack of replication in polymorphisms reported to be associated with atrial fibrillation. Heart Rhythm 8, 403-409 (2011)