PuSH - Publication Server of Helmholtz Zentrum München

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1.
Flannick, J.* et al.: Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature 570, 71-76 (2019)
2.
Malik, R.* et al.: Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes (Nature Genetics, (2018), 50, 4, (524-537), 10.1038/s41588-018-0058-3). Nat. Genet. (2019)
3.
Noordam, R.* et al.: Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals. J. Am. Coll. Cardiol. 73, 3118-3131 (2019)
4.
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)
5.
Ashar, F.N.* et al.: A comprehensive evaluation of the genetic architecture of sudden cardiac arrest. Eur. Heart J. 39, 3961-3969 (2018)
6.
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)
7.
Demenais, F.* et al.: Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat. Genet. 50, 42-53 (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.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
10.
Malik, R.* et al.: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat. Genet. 50, 524-537 (2018)
11.
Prins, B.P.* et al.: Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 19:87 (2018)
12.
Roselli, C.* et al.: Multi-ethnic genome-wide association study for atrial fibrillation. Nat. Genet. 50, 1225–1233 (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.
Aschard, H.* et al.: Evidence for large-scale gene-by-smoking interaction effects on pulmonary function. Int. J. Epidemiol. 46, 894-904 (2017)
15.
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)
16.
Christophersen, I.E.* et al.: Fifteen genetic loci associated with the electrocardiographic P wave. Circ. Cardiovasc. Genet. 10:e001667 (2017)
17.
Nolte, I.M.* et al.: Genetic loci associated with heart rate variability and their effects on cardiac disease risk. Nat. Commun. 8:15805 (2017)
18.
van den Berg, M.* et al.: Discovery of novel heart rate-associated loci using the Exome Chip. Hum. Mol. Genet. 26, 2346-2363 (2017)
19.
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)
20.
Lin, H.* et al.: Gene-gene interaction analyses for atrial fibrillation. Sci. Rep. 6:35371 (2016)