AutoGVP

AutoGVP classifies germline sequence variants from exome and whole-genome sequencing using modified ACMG-AMP criteria and integrated ClinVar and InterVar annotations for pathogenicity assessment.

Key Features:

• Integration with ClinVar and InterVar: Leverages ClinVar germline variant pathogenicity annotations and sequence classifications from a modified InterVar implementation for variant interpretation.
• Modified ACMG-AMP criteria: Applies a tailored ACMG-AMP framework including PVS1 strength adjustments and the exclusion of PP5 and BP6 criteria.
• Dockerized workflow: Packaged as a dockerized workflow to provide reproducible computational environments.
• Implemented in R: Core classification computations and criteria implementations are implemented in R.

Scientific Applications:

• Population genetics: Scalable classification of germline variants in population-scale exome and whole-genome datasets.
• Genetic epidemiology: Identification and stratification of variants associated with disease risk in cohort studies.
• Personalized medicine: Prioritization of clinically relevant germline variants for potential clinical assessment and follow-up.
• Large-scale variant curation: High-throughput pathogenicity assessment for studies requiring clinically relevant variant classification.

Methodology:

Integration of ClinVar annotations and a modified InterVar implementation, application of customized ACMG-AMP criteria with PVS1 strength modifications and removal of PP5/BP6, implemented in R and distributed as a dockerized workflow.