2017
DOI: 10.1186/s13073-016-0391-z
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ClinGen Pathogenicity Calculator: a configurable system for assessing pathogenicity of genetic variants

Abstract: BackgroundThe success of the clinical use of sequencing based tests (from single gene to genomes) depends on the accuracy and consistency of variant interpretation. Aiming to improve the interpretation process through practice guidelines, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) have published standards and guidelines for the interpretation of sequence variants. However, manual application of the guidelines is tedious and prone to human erro… Show more

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Cited by 59 publications
(47 citation statements)
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“…Such well-known examples in the HRF genes are c.442G>C encoding p.Glu148Gln in the MEFV gene,25 26 c.362G>A encoding p.Arg121Gln (historically named R92Q) in the TNFRSF1A gene27–29 and c.592G>A and c.2107C>A encoding p.Val198Met and p.Gln703Lys in the NLRP3 gene, respectively 30–32. Patel et al 33 recently configured a pathogenicity calculator that stores and summarises input collected from single or several classifiers, according to the ACMG guidelines. This transparency-based web tool, designed to organise and harmonise the methodology and resources of pathogenicity assessment, will help to sort conflicting interpretations, yet ultimately the final classification requires a process supporting and leading to expert consensus.…”
Section: Discussionmentioning
confidence: 99%
“…Such well-known examples in the HRF genes are c.442G>C encoding p.Glu148Gln in the MEFV gene,25 26 c.362G>A encoding p.Arg121Gln (historically named R92Q) in the TNFRSF1A gene27–29 and c.592G>A and c.2107C>A encoding p.Val198Met and p.Gln703Lys in the NLRP3 gene, respectively 30–32. Patel et al 33 recently configured a pathogenicity calculator that stores and summarises input collected from single or several classifiers, according to the ACMG guidelines. This transparency-based web tool, designed to organise and harmonise the methodology and resources of pathogenicity assessment, will help to sort conflicting interpretations, yet ultimately the final classification requires a process supporting and leading to expert consensus.…”
Section: Discussionmentioning
confidence: 99%
“…Similar efforts are ongoing for other disease‐gene sets . Secondly, the ClinGen project and the recently published InterVar have both developed automated pathogenicity tools, which allows researchers to partly automate the formal reasoning, which can eliminate the subjective process of deciding related to rule application and calculates conclusions based on latest evidence on a given variant.…”
Section: Future Perspectivesmentioning
confidence: 99%
“…While the approach cannot currently replicate manual curation efforts, it is nevertheless well suited to support the work of manual curators in improving and extending existing variant databases. Blending the AVADA automatic variant curation approach with manual verification should facilitate rapid variant classification 42 and the cost-effective annotation of patient variants.…”
Section: Discussionmentioning
confidence: 99%