scientific-variant-interpretation

To automate ACMG variant interpretation, you provide an HGVS notation or rsID, and the system annotates the variant and aggregates evidence from ClinVar, gnomAD, and COSMIC. It then evaluates clinical evidence and outputs a standardized variant interpretation report.

Pharmacogenomics interpretation integrates clinical data from ClinVar, PharmGKB, and scientific literature to evaluate genetic variants. It predicts drug-response outcomes by applying standardized workflows to generate a comprehensive pharmacogenomics interpretation report.

Yes, this variant interpretation workflow supports both germline and somatic pathogenicity assessment. It enforces ACMG and AMP criteria to classify variants and synthesizes multi-database evidence for accurate clinical interpretation.

You need to provide a genetic variant identifier, specifically either an HGVS notation or an rsID. The system uses this input to automatically annotate the variant, aggregate population and functional data, and enforce ACMG criteria.

Evidence integration across COSMIC and ClinVar improves oncogenicity evaluation by synthesizing somatic mutation data and clinical assertions. This multi-database approach enforces ACMG criteria to standardize pathogenicity classification.

An ACMG-aligned report enforces strict guideline criteria systematically rather than relying on manual classification. It integrates population data from gnomAD and functional evidence to produce a standardized, reproducible pathogenicity assessment.