Fresh research suggests genetic testing should be recommended for early-onset atrial fibrillation

Atrial Fibrillation (AF) affects more than 33 million people worldwide

AF is the most common type of arrhythmia and can be the initial manifestation of more serious underlying inherited heart diseases, such as cardiomyopathy or arrhythmia syndromes.

Automated AI-based classification to accelerate genetic research

The study analyzed whole-genome sequencing data from participants in 145 genes found in typical commercial arrhythmia and cardiomyopathy gene panels.

Flow chart from the publication, from 1293 WGS to just 400 classified variants in need of manual review

Disease-associated rare variants were found in patients with diagnosed AF

Franklin’s automated AI-based variant classification was a key player in helping Dr. Shoemaker and his team achieve this goal, significantly reducing their workload and allowing the team to focus on manually reviewing the critical variants’ pathogenicity in depth.

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Franklin by Genoox

Franklin by Genoox

The world’s largest, most diverse real-world genetic evidence database. We believe that community data-sharing is the future of genomics