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1.
van Setten, J.* et al.: Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits. Eur. J. Hum. Genet. 27, 952-962 (2019)
2.
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)
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.
van den Berg, M.* et al.: Discovery of novel heart rate-associated loci using the Exome Chip. Hum. Mol. Genet. 26, 2346-2363 (2017)
5.
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)
6.
Lin, H.* et al.: Gene-gene interaction analyses for atrial fibrillation. Sci. Rep. 6:35371 (2016)
7.
van der Harst, P.* et al.: 52 Genetic loci influencing myocardial mass. J. Am. Coll. Cardiol. 68, 1435-1448 (2016)
8.
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)
9.
Lubitz, S.A.* et al.: Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese. J. Am. Coll. Cardiol. 63, 1200-1210 (2014)
10.
Lundby, A.* et al.: Annotation of loci from genome-wide association studies using tissue-specific quantitative interaction proteomics. Nat. Methods 11, 868-874 (2014)
11.
Sinner, M.F.* et al.: Integrating genetic, transcriptional, and functional analyses to identify five novel genes for atrial fibrillation. Circulation 130, 1225-1235 (2014)
12.
Willems, J.L. et al.: Effect of combining electrocardiographic interpretation results on diagnostic accuracy. Eur. Heart J. 9, 1348-1355 (1988)
13.
Willems, J.L. et al.: Testing the Performance of ECG Computer Programs: The CSE Diagnostic Pilot Study. J. Electrocardiology Suppl.Oct., 73-77 (1987)