z-logo
open-access-imgOpen Access
Genome- and Phenome-Wide Analyses of Cardiac Conduction Identifies Markers of Arrhythmia Risk
Author(s) -
Marylyn D. Ritchie,
Joshua C. Denny,
Rebecca L. Zuvich,
Dana C. Crawford,
Jonathan S. Schildcrout,
Lisa Bastarache,
Andrea H. Ramirez,
Jonathan D. Mosley,
Jill M. Pulley,
Melissa Basford,
Yuki Bradford,
Luke V. Rasmussen,
Jyotishman Pathak,
Christopher G. Chute,
Iftikhar J. Kullo,
Catherine A. McCarty,
Rex L. Chisholm,
Abel Kho,
Christopher S. Carlson,
Eric B. Larson,
Gail P. Jarvik,
a Sotoodehnia,
Teri A. Manolio,
Rongling Li,
Daniel R. Masys,
Jonathan L. Haines,
Dan M. Roden
Publication year - 2013
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/circulationaha.112.000604
Subject(s) - phenome , medicine , cardiac arrhythmia , genome , electrical conduction system of the heart , cardiology , computational biology , genetics , electrocardiography , atrial fibrillation , gene , biology
ECG QRS duration, a measure of cardiac intraventricular conduction, varies ≈2-fold in individuals without cardiac disease. Slow conduction may promote re-entrant arrhythmias.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom