Key result
RYR2 and KCNN3 variants disrupt electrical stability while polygenic scores improve AF prediction in NICM.
Why the study?
Translating genetic discoveries into mechanistic understanding and clinical risk stratification remains challenging, as the pathways linking genetic variants, altered cardiomyocyte function, and clinical arrhythmias are incompletely understood.
Integrating human in vitro disease modeling with genetic epidemiology provides a framework for understanding arrhythmia mechanisms and supports incorporating genetic information into arrhythmia risk prediction.
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Hypothesis-generating for arrhythmia genetic pathways; leaves open clinical translation to risk stratification.
Saif Faris Salih Dababneh (2026) studied Cardiac arrhythmias (Calcium Release Deficiency Syndrome, Atrial Fibrillation). Genetic variation (RYR2 variants, KCNN3 locus, Polygenic Risk Score) was evaluated. Rare RYR2 variants and common KCNN3 variants disrupt cardiac electrical stability, while a polygenic risk score improves the prediction of new-onset atrial fibrillation in non-ischemic cardiomyopathy.
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