The AORTA Gene score for detection and risk stratification of ascending aortic dilation
Article 2024 en
Authors
JP
James P. Pirruccello
SK
Shaan Khurshid
HL
Honghuang Lin
Abstract
1 min read
A comprehensive model incorporating polygenic information and clinical risk factors explained 34.9%-41.8% of the variation in ascending aortic diameter, improving the identification of ascending aortic dilation and adverse thoracic aortic events compared to clinical risk factors.
James P. Pirruccello, Shaan Khurshid, Honghuang Lin, Lu‐Chen Weng, Siavash Zamirpour, Shinwan Kany, Avanthi Raghavan, Satoshi Koyama, Ramachandran S. Vasan, Emelia Benjamin, Mark E. Lindsay, Patrick T. Ellinor
James P. Pirruccello, Mark Chaffin, Stephen J. Fleming, Alessandro Arduini, Honghuang Lin, Shaan Khurshid, Elizabeth L. Chou, Sam Friedman, Alexander G. Bick, Lu‐Chen Weng, Seung Hoan Choi, Amer-Denis Akkad, Puneet Batra, Nathan R. Tucker, Amelia Weber Hall, Carolina Roselli, Emelia Benjamin, Shamsudheen Karuthedath Vellarikkal, Rajat M. Gupta, Christian M. Stegman, Jennifer E. Ho, Udo Hoffmann, Steven A. Lubitz, Anthony Philippakis, Mark E. Lindsay, Patrick T. Ellinor
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