Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation

Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation

Abstract Atrial fibrillation (AF) is a common cardiac arrhythmia with strong genetic components, yet its underlying molecular mechanisms and potential therapeutic targets remain incompletely understood. We conducted a cross-population genome-wide meta-analysis of 168,007 AF cases and identified 525...

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Main Authors: Shuai Yuan, Jie Chen, Xixin Ruan, Yuying Li, Sarah A. Abramowitz, Lijuan Wang, Fangyuan Jiang, Ying Xiong, Michael G. Levin, Benjamin F. Voight, Dipender Gill, Stephen Burgess, Agneta Åkesson, Karl Michaëlsson, Xue Li, Scott M. Damrauer, Susanna C. Larsson
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-61720-2
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https://doi.org/10.1038/s41467-025-61720-2

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