The promises and pitfalls of automated variant interpretation: a comprehensive review

The interpretation of DNA variants enables personalized medicine through precise diagnosis and treatment selection. To address the challenges of manual interpretation, a wide range of automated tools has been created. This study evaluates these tools through a comprehensive analysis of their features, methodologies, and performance assessment against the interpretations of the ClinGen Expert Panel for 256 variants associated with cardiomyopathies, hereditary cancer, or monogenic diabetes. Although the tools demonstrated high accuracy for clearly pathogenic/benign variants, they showed significant limitations with variants of uncertain significance (VUS). Despite current advances in automation for variant interpretation, our findings show that expert oversight is still needed when using these tools in a clinical context, particularly for VUS interpretation.

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Publication Details

Journal
Briefings in Bioinformatics
Published
2025-08-31
DOI
https://doi.org/10.1093/bib/bbaf545
Citations
5
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
4.03

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article

The promises and pitfalls of automated variant interpretation: a comprehensive review

Mireia Costa, Alberto García S., Óscar Pastor, Ana León Palacio
5 citations
Briefings in Bioinformatics
Biomedical Text Mining and Ontologies
4.03
article

The promises and pitfalls of automated variant interpretation: a comprehensive review

Mireia Costa, Alberto García S., Óscar Pastor, Ana León Palacio
article en
5 citations

Abstract

The interpretation of DNA variants enables personalized medicine through precise diagnosis and treatment selection. To address the challenges of manual interpretation, a wide range of automated tools has been created. This study evaluates these tools through a comprehensive analysis of their features, methodologies, and performance assessment against the interpretations of the ClinGen Expert Panel for 256 variants associated with cardiomyopathies, hereditary cancer, or monogenic diabetes. Although the tools demonstrated high accuracy for clearly pathogenic/benign variants, they showed significant limitations with variants of uncertain significance (VUS). Despite current advances in automation for variant interpretation, our findings show that expert oversight is still needed when using these tools in a clinical context, particularly for VUS interpretation.

Briefings in BioinformaticsVol. 26(5)
Universitat Politècnica de València (ES)
American Concrete Institute Foundation, European Commission, Generalitat Valenciana, HORIZON EUROPE Framework Programme, Universitat Politècnica de València
Openalex Percentile: Top 6%
Biomedical Text Mining and Ontologies
4.03
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