Article

Unbiased characterization of atrial fibrillation phenotypic architecture provides insight to genetic liability and clinically relevant outcomes

2024-02-14

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Atrial Fibrillation (AF) is a common and clinically heterogeneous arrythmia. Machine learning (ML) algorithms can define data-driven disease subtypes in an unbiased fashion, but whether the AF subgroups defined in this way align with underlying mechanisms, such as high polygenic liability to AF or inflammation, and associate with clinical outcomes is unclear. <h4>Methods</h4>...

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Literature Corpus work: 1e7c4bfd-7e87-5ffc-a339-ae8f5da003c3
DOI: 10.1101/2024.02.13.24302788

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