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Article

Unbiased Characterization of Atrial Fibrillation Phenotypic Architecture Provides Insight Into Genetic Liability and Clinically Relevant Outcomes.

Circulation. Genomic and precision medicine - 1 Feb 2026

Davogustto Giovanni, Zhao Shilin, Li Yajing, Farber-Eger Eric, Lowery Brandon D, Shaffer Lauren Lee, Mosley Jonathan D, Shoemaker M Benjamin, Xu Yaomin, Roden Dan M, Wells Quinn S

Abstract excerpt

BACKGROUND: Atrial fibrillation (AF) is a common and clinically heterogeneous arrhythmia. Machine learning algorithms can define data-driven disease subtypes in an unbiased fashion, but whether these AF subgroups align with underlying mechanisms, such as polygenic liability to AF or inflammation, and associate with clinical outcomes is unclear. METHODS: We identified individuals with AF in a large biobank linked...

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PMID: 41603049
DOI: 10.1161/CIRCGEN.124.004853
PMCID: PMC12880694

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