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Get Free AccessA 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 (2024). The AORTA Gene score for detection and risk stratification of ascending aortic dilation. , 45(40), DOI: https://doi.org/10.1093/eurheartj/ehae474.
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Type
Article
Year
2024
Authors
12
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1093/eurheartj/ehae474
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