BioinformaticsBioinformaticsPeer-reviewed journal article
AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification
Jung KimiD, Ammar S. NaqviiD, Ryan J. CorbettiD, Rebecca KaufmaniD, Zalman VaksmaniD, Miguel BrowniD, Daniel P. MilleriD, Saksham PhuliD, Zhuangzhuang GengiD, Phillip B. StormiD, Adam Cain ResnickiD, Douglas R. StewartiD, Jo Lynne RokitaiD, Sharon J. DiskiniD
Abstract
SummaryWith the increasing rates of exome and whole genome sequencing, the ability to classify large sets of germline sequencing variants using up-to-date American College of Medical Genetics - Association for Molecular Pathology (ACMG-AMP) criteria is crucial. Here, we present Automated Germline Variant Pathogenicity (AutoGVP), a tool that integrates germline variant pathogenicity annotations from ClinVar and sequence variant classifications from a modified version of InterVar (PVS1 strength adjustments, removal of PP5/BP6). This tool facilitates large-scale, clinically-focused classification of germline sequence variants in a research setting. Availability and ImplementationAutoGVP is an open-source dockerized workflow implemented in R and freely available on GitHub at https://github.com/diskin-lab-chop/AutoGVP.
- assay: whole-exome sequencing
- assay: whole-genome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 17
- FWCI
- 4.52
- Field percentile
- top 4%
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