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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
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Evaluating the Utility of a New Pathogenicity Predictor for Pediatric Cardiomyopathy
Alyssa L Rippert1, Sarah Trackman2, Danielle Burstein3
1Division of Human Genetics, Children's Hospital of Philadelphia, Pennsylvania, USA.
Human Mutation
|April 14, 2025
Summary
CardioBoost scores did not predict major adverse cardiac events in pediatric cardiomyopathy patients. This suggests caution is needed when using this tool for risk stratification in children.
Area of Science:
- Cardiology
- Genetics
- Pediatrics
Background:
- Pediatric cardiomyopathy (CM) contributes to significant childhood morbidity and mortality.
- Genetic factors are key contributors to pediatric CM, but variant interpretation for risk stratification remains challenging.
- Previous studies linked CardioBoost (CB) scores to severe outcomes in adult CM, prompting investigation in pediatric populations.
Purpose of the Study:
- To evaluate the association between CardioBoost (CB) scores and clinical outcomes in pediatric cardiomyopathy patients.
- To determine if CB-classified disease-causing variants can stratify risk for severe clinical outcomes in children with CM.
- To assess the utility of the CardioBoost tool in the pediatric CM population.
Main Methods:
- Retrospective, single-center cohort study of 104 pediatric CM patients evaluated at Children's Hospital of Philadelphia.
- CardioBoost (CB) scores were calculated and categorized (≤0.1, 0.1-0.9, ≥0.9).
- Major adverse cardiac event (MACE) served as the composite endpoint to assess clinical outcomes.
Main Results:
- No significant association was found between CB score categories and the risk of MACE in pediatric CM patients.
- The study included diverse pediatric CM types: 31% dilated CM (DCM), 43% hypertrophic CM (HCM), and 26% other CM.
- The findings indicate limitations in applying adult-derived variant interpretation tools to pediatric populations.
Conclusions:
- The CardioBoost scoring system did not demonstrate significant predictive value for clinical outcomes in pediatric cardiomyopathy.
- This study underscores the ongoing challenges and deficits in interpreting genetic variants for risk stratification in pediatric CM.
- Caution is advised when utilizing the CardioBoost tool for clinical outcome stratification in pediatric CM patients.

