American Heart Association, Circulation: Genomic and Precision Medicine, 10(11), 2018
DOI: 10.1161/circgen.117.001797
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Background: Accurate estimates of survival are indispensable for cardiologists, clinical geneticists, and genetic counselors dealing with families with an inherited cardiac disease. However, a bias towards a more severe disease with a worse outcome in the first publications may not accurately represent the actual survival forecast. We, therefore, evaluated the effect of ascertainment bias on survival in 3 different inherited cardiac diseases (idiopathic ventricular fibrillation, SCN5A overlap syndrome, and arrhythmogenic cardiomyopathy) caused by a founder mutation. Methods: We collected mortality data from mutation-positive subjects with either DPP6 -associated idiopathic ventricular fibrillation, SCN5A overlap syndrome, and PLN -R14del-mediated arrhythmogenic cardiomyopathy >2 to 10 years of ongoing clinical/cascade genetic screening. Results: The median age of survival in DPP6 mutation-positive subjects increased from 44.6 years in the original cohort from 2008 (n=60; 95% CI, 36.8–52.4 years) to 68.2 years in the extended cohort from 2012 (n=235; 95% CI, 64.6–71.7 years; P <0.001). In the SCN5A overlap syndrome, survival increased from 56.1 years in 1999 (n=86; 95% CI, 48.0–64.2 years) to 69.7 years in 2009 (n=197; 95% CI, 61.3–78.2 years; P =0.049). In PLN -R14del positive patients, the median age of survival increased from 63.5 years in 2010 (n=89; 95% CI, 59.1–68.0 years) to 65.2 years in 2012 (n=370; 95% CI, 62.0–68.3 years; P =0.046). Conclusions: The median age of survival in 3 different inherited cardiac diseases with an established pathogenic substrate significantly increased once genetic testing and cascade screening extended, after the first publication that elucidated the discovery of the disease-susceptibility gene/mutation. This underscores the direct and negative influence of ascertainment bias on survival forecasts and the importance of ongoing clinical/genetic follow-up to establish the most accurate disease prognosis for genetically mediated heart diseases.