Ontology highlight
ABSTRACT:
SUBMITTER: Lubitz SA
PROVIDER: S-EPMC4009240 | biostudies-literature | 2014 Apr
REPOSITORIES: biostudies-literature
Lubitz Steven A SA Lunetta Kathryn L KL Lin Honghuang H Arking Dan E DE Trompet Stella S Li Guo G Krijthe Bouwe P BP Chasman Daniel I DI Barnard John J Kleber Marcus E ME Dörr Marcus M Ozaki Kouichi K Smith Albert V AV Müller-Nurasyid Martina M Walter Stefan S Agarwal Sunil K SK Bis Joshua C JC Brody Jennifer A JA Chen Lin Y LY Everett Brendan M BM Ford Ian I Franco Oscar H OH Harris Tamara B TB Hofman Albert A Kääb Stefan S Mahida Saagar S Kathiresan Sekar S Kubo Michiaki M Launer Lenore J LJ MacFarlane Peter W PW Magnani Jared W JW McKnight Barbara B McManus David D DD Peters Annette A Psaty Bruce M BM Rose Lynda M LM Rotter Jerome I JI Silbernagel Guenther G Smith Jonathan D JD Sotoodehnia Nona N Stott David J DJ Taylor Kent D KD Tomaschitz Andreas A Tsunoda Tatsuhiko T Uitterlinden Andre G AG Van Wagoner David R DR Völker Uwe U Völzke Henry H Murabito Joanne M JM Sinner Moritz F MF Gudnason Vilmundur V Felix Stephan B SB März Winfried W Chung Mina M Albert Christine M CM Stricker Bruno H BH Tanaka Toshihiro T Heckbert Susan R SR Jukema J Wouter JW Alonso Alvaro A Benjamin Emelia J EJ Ellinor Patrick T PT
Journal of the American College of Cardiology 20140130 12
<h4>Objectives</h4>This study sought to identify nonredundant atrial fibrillation (AF) genetic susceptibility signals and examine their cumulative relations with AF risk.<h4>Background</h4>AF-associated loci span broad genomic regions that may contain multiple susceptibility signals. Whether multiple signals exist at AF loci has not been systematically explored.<h4>Methods</h4>We performed association testing conditioned on the most significant, independently associated genetic markers at 9 esta ...[more]