CANVAR: A Tool for Clinical Annotation of Variants Using ClinVar Databases

ABSTRACT Background Genomic medicine has transformed clinical genetics by utilizing high‐throughput sequencing technologies to analyze genetic variants associated with diseases. Accurate variant classification is crucial for diagnosis and treatment decisions, and various tools and software such as the Ion Reporter Software and the Illumina Nirvana Software often used in a clinical setting utilize information from the ClinVar database/archive to aid in variant interpretation. However, these existing annotation tools may lack access to the latest ClinVar data, necessitating manual variant inspection. Aims To address this gap in developing a tool providing the latest ClinVar data for variant annotation in clinical and research settings. Materials and Methods We introduce CANVAR, a Python‐based script that efficiently annotates variants identified from next‐generation sequencing in a clinical or research context, offering comprehensive information from the latest ClinVar database. Results CANVAR provides accurate, up‐to‐date variant annotations, streamlining variant analysis. Discussion The rise in genomic data requires accurate variant annotation for clinical decision‐making. Misclassification poses risks, and current tools may not always access the latest data, challenging variant interpretation. Conclusion CANVAR contributes to enhancing variant annotation by offering comprehensive information from the latest ClinVar database for genetic variants identified through next‐generation sequencing. Genomic medicine employs DNA high‐throughput sequencing for disease‐related variant analysis. Accurate classification is vital, and outdated information may hinder variant interpretation. Addressing this, CANVAR is introduced, a Python script providing current ClinVar‐based variant annotation to assist variant interpretation.