2020
DOI: 10.1002/humu.24051
|View full text |Cite
|
Sign up to set email alerts
|

AutoPVS1: An automatic classification tool for PVS1 interpretation of null variants

Abstract: Null variants are prevalent within the human genome, and their accurate interpretation is critical for clinical management. In 2018, the ClinGen Sequence Variant Interpretation (SVI) Working Group refined the only criterion with a very strong pathogenicity rating (PVS1). To streamline PVS1 interpretation, we have developed an automatic classification tool with a graphical user interface called AutoPVS1. The performance of AutoPVS1 was assessed using 56 variants manually curated by the ClinGen's SVI Working Gro… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
44
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
2

Relationship

3
4

Authors

Journals

citations
Cited by 46 publications
(48 citation statements)
references
References 47 publications
0
44
0
Order By: Relevance
“…ClinGen HL-EP did not perform a systematic review of mutational hot spots or functional domains for all genes associated with hearing loss, and proposed that PM1 can be applied for KCNQ4 pore-forming region. 7 In this study, we used the enrichment of pathogenic/likely pathogenic variants to construct a set of important regions 19 which includes the KCNQ4 pore-forming region. Additionally, although HL-EP did not elaborate on the cutoff for BS2, we used a conservative cutoff to automate this rule.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…ClinGen HL-EP did not perform a systematic review of mutational hot spots or functional domains for all genes associated with hearing loss, and proposed that PM1 can be applied for KCNQ4 pore-forming region. 7 In this study, we used the enrichment of pathogenic/likely pathogenic variants to construct a set of important regions 19 which includes the KCNQ4 pore-forming region. Additionally, although HL-EP did not elaborate on the cutoff for BS2, we used a conservative cutoff to automate this rule.…”
Section: Discussionmentioning
confidence: 99%
“…clarified before. 19,20 PM1 can be applied when a variant is in a mutational hotspot region or well-studied functional domain without benign variation. 5,7 The hotspot region/domain was determined based on the enrichment of pathogenic variants, as clarified in our recent work.…”
Section: Rule Selection Optimization and Implementationmentioning
confidence: 99%
See 1 more Smart Citation
“…The parameterization of nine computational criteria (PVS1, PS1, PM1, PM4, PM5, PP3, BP3, BP4, and BP7) was described as follows. The specifications of PVS1 were clarified before (Abou Tayoun et al, 2018;Xiang, Peng, Baxter, & Peng, 2020). PM1 can be applied when a variant is in a mutational hotspot region or well-studied functional domain without benign variation (Oza et al, 2018;Richards et al, 2015).…”
Section: Rule Selection Optimization and Implementationmentioning
confidence: 99%
“…PM1 can be applied when a variant is in a mutational hotspot region or well-studied functional domain without benign variation (Oza et al, 2018;Richards et al, 2015). The hotspot region was determined based on the enrichment of pathogenic variants, as clarified in our recent work (Xiang, Peng, et al, 2020). Pathogenic/likely pathogenic variants from ClinVar 20200629 release were retrieved to determine the existence of the same amino acid changes (PS1) and the different amino acid changes (PM5).…”
Section: Rule Selection Optimization and Implementationmentioning
confidence: 99%