Algorithm for the identification of relevant novel variants in Cardiograph

Familial cardiopathies are a form of cardiovascular disease that is transmitted across generations within families. In most cases, these diseases are caused by novel variants, i.e., variants newly discovered and often specific to individual families. Being newly discovered, the data available about these variants in data sources is very limited. Consequently, geneticists specializing in familial cardiopathies struggle to determine whether a novel variant is truly responsible for a cardiopathy. Here we present an algorithm for prioritization of novel variants for familial cardiopathies that is compliant with the VarClaM conceptual model. This algorithm has been incorporated in CardioGraph (\url{https://genomics-hub.pros.dsic.upv.es:3090/home}), a tool designed to analyze all novel variants in a familial cardiopathy patient's VCF file and prioritize those with a higher likelihood of causing disease.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-02
DOI
https://doi.org/10.5281/zenodo.16723029
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
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article

Algorithm for the identification of relevant novel variants in Cardiograph

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Rare Diseases
article

Algorithm for the identification of relevant novel variants in Cardiograph

article en

Abstract

Familial cardiopathies are a form of cardiovascular disease that is transmitted across generations within families. In most cases, these diseases are caused by novel variants, i.e., variants newly discovered and often specific to individual families. Being newly discovered, the data available about these variants in data sources is very limited. Consequently, geneticists specializing in familial cardiopathies struggle to determine whether a novel variant is truly responsible for a cardiopathy. Here we present an algorithm for prioritization of novel variants for familial cardiopathies that is compliant with the VarClaM conceptual model. This algorithm has been incorporated in CardioGraph (\url{https://genomics-hub.pros.dsic.upv.es:3090/home}), a tool designed to analyze all novel variants in a familial cardiopathy patient's VCF file and prioritize those with a higher likelihood of causing disease.

Zenodo (CERN European Organization for Nuclear Research)
Universitat Politècnica de València (ES)
Good health and well-being
Openalex Percentile: Top 40%
Genomics and Rare Diseases
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