Title |
Common variants at ten loci modulate the QT interval duration in the QTSCD Study
|
---|---|
Published in |
Nature Genetics, March 2009
|
DOI | 10.1038/ng.362 |
Pubmed ID | |
Authors |
Arne Pfeufer, Serena Sanna, Dan E Arking, Martina Müller, Vesela Gateva, Christian Fuchsberger, Georg B Ehret, Marco Orrú, Cristian Pattaro, Anna Köttgen, Siegfried Perz, Gianluca Usala, Maja Barbalic, Man Li, Benno Pütz, Angelo Scuteri, Ronald J Prineas, Moritz F Sinner, Christian Gieger, Samer S Najjar, W H Linda Kao, Thomas W. Mühleisen, Mariano Dei, Christine Happle, Stefan Möhlenkamp, Laura Crisponi, Raimund Erbel, Karl-Heinz Jöckel, Silvia Naitza, Gerhard Steinbeck, Fabio Marroni, Andrew A Hicks, Edward Lakatta, Bertram Müller-Myhsok, Peter P Pramstaller, H-Erich Wichmann, David Schlessinger, Eric Boerwinkle, Thomas Meitinger, Manuela Uda, Josef Coresh, Stefan Kääb, Gonçalo R Abecasis, Aravinda Chakravarti |
Abstract |
The QT interval, a measure of cardiac repolarization, predisposes to ventricular arrhythmias and sudden cardiac death (SCD) when prolonged or shortened. A common variant in NOS1AP is known to influence repolarization. We analyze genome-wide data from five population-based cohorts (ARIC, KORA, SardiNIA, GenNOVA and HNR) with a total of 15,842 individuals of European ancestry, to confirm the NOS1AP association and identify nine additional loci at P < 5 x 10(-8). Four loci map near the monogenic long-QT syndrome genes KCNQ1, KCNH2, SCN5A and KCNJ2. Two other loci include ATP1B1 and PLN, genes with established electrophysiological function, whereas three map to RNF207, near LITAF and within NDRG4-GINS3-SETD6-CNOT1, respectively, all of which have not previously been implicated in cardiac electrophysiology. These results, together with an accompanying paper from the QTGEN consortium, identify new candidate genes for ventricular arrhythmias and SCD. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 2% |
Switzerland | 2 | 1% |
United Kingdom | 2 | 1% |
Italy | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
New Zealand | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 181 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 52 | 27% |
Student > Ph. D. Student | 39 | 20% |
Other | 17 | 9% |
Professor | 16 | 8% |
Student > Master | 11 | 6% |
Other | 36 | 18% |
Unknown | 24 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 30% |
Medicine and Dentistry | 55 | 28% |
Biochemistry, Genetics and Molecular Biology | 32 | 16% |
Computer Science | 3 | 2% |
Earth and Planetary Sciences | 2 | 1% |
Other | 14 | 7% |
Unknown | 31 | 16% |