Genomic Risk Prediction of Incident Atrial Fibrillation in Older Individuals Without Prior Cardiovascular Disease

The use of an AF-PRS improves risk prediction of incident AF above clinical risk factors in older individuals without cardiovascular disease.

Authors

Paul Lacaze (ORCID: https://orcid.org/0000-0002-0902-6798)
Peter Fransquet (ORCID: https://orcid.org/0000-0002-3515-0557)
Franz‐Josef Neumann (ORCID: https://orcid.org/0000-0002-9478-2757)
Jocasta Ball (ORCID: https://orcid.org/0000-0002-1512-4255)
Tian Lin (ORCID: https://orcid.org/0000-0002-5981-1911)
Chenglong Yu (ORCID: https://orcid.org/0000-0002-0546-2779)
Sultana Monira Hussain (ORCID: https://orcid.org/0000-0001-7894-2485)
Lawrence J. Beilin (ORCID: https://orcid.org/0000-0003-4853-7360)
Andrew Tonkin (ORCID: https://orcid.org/0000-0001-5291-0610)
Amy G. Brodtmann (ORCID: https://orcid.org/0000-0001-9466-2862)
John J. McNeil (ORCID: https://orcid.org/0000-0002-1049-5129)
Cammie Tran (ORCID: https://orcid.org/0000-0003-3997-6118)
Diane Fatkin (ORCID: https://orcid.org/0000-0002-9010-9856)
Zhen Zhou (ORCID: https://orcid.org/0000-0002-0835-8686)
Mark Nelson (ORCID: https://orcid.org/0000-0002-5944-6096)
Kevan R. Polkinghorne

University of Tasmania (AU)
Baker Heart and Diabetes Institute (AU)
Universität Hamburg (DE)
The University of Queensland (AU)
The University of Western Australia (AU)
Victor Chang Cardiac Research Institute (AU)
Royal Perth Hospital (AU)
MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE)
Monash Alfred Psychiatry Research centre (AU)
University Medical Center Hamburg-Eppendorf (DE)
Monash Health (AU)
Monash University (AU)