Genomic data-driven framework for drug target discovery in atrial fibrillation.

Abstract excerpt

BACKGROUND: Atrial fibrillation (AF) is the most common type of arrhythmia and is linked to an increased risk of death, stroke, and other complications. Although studies have explored the pathophysiology of AF, its genetic mechanisms remain poorly understood, limiting the development of effective treatments. METHODS: We conducted a large-scale meta-analysis of genome-wide association study (GWAS) data from...

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