PuSH - Publication Server of Helmholtz Zentrum München

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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.
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)
3.
Lin, H.* et al.: Common and rare coding genetic variation underlying the electrocardiographic PR interval. Circ. Genom. Precis. Med. 11:e002037 (2018)
4.
Prins, B.P.* et al.: Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 19:87 (2018)
5.
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)
6.
Christophersen, I.E.* et al.: Fifteen genetic loci associated with the electrocardiographic P wave. Circ. Cardiovasc. Genet. 10:e001667 (2017)
7.
van den Berg, M.* et al.: Discovery of novel heart rate-associated loci using the Exome Chip. Hum. Mol. Genet. 26, 2346-2363 (2017)
8.
Wahl, S. et al.: Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature 541, 81-86 (2017)
9.
Amin, N.* et al.: Genetic variants in RBFOX3 are associated with sleep latency. Eur. J. Hum. Genet. 24, 1488-1495 (2016)
10.
Kilpeläinen, T.O.* et al.: Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat. Commun. 7:10494 (2016)
11.
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
12.
van der Harst, P.* et al.: 52 Genetic loci influencing myocardial mass. J. Am. Coll. Cardiol. 68, 1435-1448 (2016)
13.
Benyamin, B.* et al.: Corrigendum: Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis. Nat. Commun. 6:6542 (2015)
14.
Draisma, H.H.* et al.: Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels. Nat. Commun. 6:7208 (2015)
15.
Horikoshi, M.* et al.: Discovery and fine-mapping of glycaemic and obesity-related trait loci using high-density imputation. PLoS Genet. 11:e1005230 (2015)
16.
Kato, N.* et al.: Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat. Genet. 47, 1282-1293 (2015)
17.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
18.
Shungin, D.* et al.: New genetic loci link adipose and insulin biology to body fat distribution. Nature 518, 187-196 (2015)
19.
Surakka, I.* et al.: The impact of low-frequency and rare variants on lipid levels. Nat. Genet. 47, 589-597 (2015)
20.
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)