Queries and interprets NCBI ClinVar genetic variant data to provide clinical significance classifications and genomic annotations.
This skill enables Claude to interact with the NCBI ClinVar database, the primary archive for human genetic variation and its relationship to health phenotypes. It provides specialized guidance on querying variants by gene or position using E-utilities, interpreting ACMG/AMP pathogenicity classifications, and processing large-scale genomic data from VCF, XML, and tab-delimited formats. It is essential for bioinformaticians and researchers needing to automate variant annotation, resolve conflicting interpretations, or build local genomic data pipelines while adhering to best practices in clinical genetics.
Key Features
01Programmatic access to NCBI E-utilities API for real-time variant querying
02Conflict resolution strategies for disparate variant pathogenicity interpretations
03Standardized interpretation of ACMG/AMP clinical significance and star-rated review statuses
04Integration with bioinformatic tools like bcftools and Python for variant annotation
058 GitHub stars
06Bulk data processing workflows for VCF, XML, and tab-delimited ClinVar datasets
Use Cases
01Annotating patient VCF files with high-confidence clinical significance ratings
02Building automated pipelines to track updates in variant classifications for specific gene panels
03Researching the clinical evidence and phenotypes associated with specific genetic mutations