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Genetic Risk Prediction of Atrial Fibrillation
Author(s) -
Steven A. Lubitz,
Xiaoyan Yin,
Henry J. Lin,
Matthew J. Kolek,
J. G. Smith,
Stella Trompet,
Michiel Rienstra,
Natalia S. Rost,
Pedro L. Teixeira,
Peter Almgren,
Christopher D. Anderson,
Lin Y. Chen,
Gunnar Engström,
Ian Ford,
Karen L. Furie,
Xiuqing Guo,
Martin G. Larson,
Kathryn L. Lunetta,
Peter W. Macfarlane,
Bruce M. Psaty,
Elsayed Z. Soliman,
a Sotoodehnia,
David J. Stott,
Kent D. Taylor,
LuChen Weng,
Jie Yao,
Bastiaan Geelhoed,
Niek Verweij,
Joylene E. Siland,
Sekar Kathiresan,
Carolina Roselli,
Dan M. Roden,
Pim van der Harst,
Dawood Darbar,
J. Wouter Jukema,
Olle Melander,
Jonathan Rosand,
Jerome I. Rotter,
Susan R. Heckbert,
Patrick T. Ellinor,
Álvaro Alonso,
Emelia J. Benjamin
Publication year - 2016
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.116.024143
Subject(s) - medicine , quartile , confidence interval , atrial fibrillation , hazard ratio , odds ratio , stroke (engine) , prospective cohort study , incidence (geometry) , genetic model , cardiology , genetics , mechanical engineering , physics , optics , biology , engineering , gene
Atrial fibrillation (AF) has a substantial genetic basis. Identification of individuals at greatest AF risk could minimize the incidence of cardioembolic stroke.

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