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ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation
PURPOSE: Standardized and accurate variant assessment is essential for effective medical care. To that end, Clinical Genome (ClinGen) Resource clinical domain working groups (CDWG) are systematically reviewing disease-associated genes for sufficient evidence to support disease causality and creating...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119537/ https://www.ncbi.nlm.nih.gov/pubmed/29493581 http://dx.doi.org/10.1038/gim.2018.3 |
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author | Gelb, Bruce D. Cavé, Hélène Dillon, Mitchell W. Gripp, Karen W. Lee, Jennifer A. Mason-Suares, Heather Rauen, Katherine A. Williams, Bradley Zenker, Martin Vincent, Lisa M. |
author_facet | Gelb, Bruce D. Cavé, Hélène Dillon, Mitchell W. Gripp, Karen W. Lee, Jennifer A. Mason-Suares, Heather Rauen, Katherine A. Williams, Bradley Zenker, Martin Vincent, Lisa M. |
author_sort | Gelb, Bruce D. |
collection | PubMed |
description | PURPOSE: Standardized and accurate variant assessment is essential for effective medical care. To that end, Clinical Genome (ClinGen) Resource clinical domain working groups (CDWG) are systematically reviewing disease-associated genes for sufficient evidence to support disease causality and creating disease-specific specifications of ACMG-AMP guidelines for consistent and accurate variant classification. METHODS: The ClinGen RASopathy CDWG established an expert panel (EP) to curate gene information and generate gene and disease-specific specifications to ACMG-AMP variant classification framework. These specifications were tested by classifying 37 exemplar pathogenic variants plus an additional 66 variants in ClinVar distributed across nine RASopathy genes. RESULTS: RASopathy-related specifications were applied to sixteen ACMG-AMP criteria, with five also having adjustable strength with availability of additional evidence. Another five criteria were deemed not applicable. Key adjustments to minor allele frequency thresholds, multiple de novo occurrence events and/or segregation, and strength adjustments impacted 60% of variant classifications. Unpublished case-level data from participating laboratories impacted 45% of classifications supporting the need for data sharing. CONCLUSIONS: RAS-specific ACMG-AMP specifications optimized the utility of available clinical evidence and Ras/MAPK pathway-specific characteristics to consistently classify RASopathy-associated variants. These specifications highlight how grouping genes by shared features promotes rapid multi-genic variant assessment without sacrificing specificity and accuracy. |
format | Online Article Text |
id | pubmed-6119537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-61195372018-09-01 ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation Gelb, Bruce D. Cavé, Hélène Dillon, Mitchell W. Gripp, Karen W. Lee, Jennifer A. Mason-Suares, Heather Rauen, Katherine A. Williams, Bradley Zenker, Martin Vincent, Lisa M. Genet Med Article PURPOSE: Standardized and accurate variant assessment is essential for effective medical care. To that end, Clinical Genome (ClinGen) Resource clinical domain working groups (CDWG) are systematically reviewing disease-associated genes for sufficient evidence to support disease causality and creating disease-specific specifications of ACMG-AMP guidelines for consistent and accurate variant classification. METHODS: The ClinGen RASopathy CDWG established an expert panel (EP) to curate gene information and generate gene and disease-specific specifications to ACMG-AMP variant classification framework. These specifications were tested by classifying 37 exemplar pathogenic variants plus an additional 66 variants in ClinVar distributed across nine RASopathy genes. RESULTS: RASopathy-related specifications were applied to sixteen ACMG-AMP criteria, with five also having adjustable strength with availability of additional evidence. Another five criteria were deemed not applicable. Key adjustments to minor allele frequency thresholds, multiple de novo occurrence events and/or segregation, and strength adjustments impacted 60% of variant classifications. Unpublished case-level data from participating laboratories impacted 45% of classifications supporting the need for data sharing. CONCLUSIONS: RAS-specific ACMG-AMP specifications optimized the utility of available clinical evidence and Ras/MAPK pathway-specific characteristics to consistently classify RASopathy-associated variants. These specifications highlight how grouping genes by shared features promotes rapid multi-genic variant assessment without sacrificing specificity and accuracy. 2018-03-01 2018-11 /pmc/articles/PMC6119537/ /pubmed/29493581 http://dx.doi.org/10.1038/gim.2018.3 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Gelb, Bruce D. Cavé, Hélène Dillon, Mitchell W. Gripp, Karen W. Lee, Jennifer A. Mason-Suares, Heather Rauen, Katherine A. Williams, Bradley Zenker, Martin Vincent, Lisa M. ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation |
title | ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation |
title_full | ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation |
title_fullStr | ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation |
title_full_unstemmed | ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation |
title_short | ClinGen’s RASopathy Expert Panel Consensus Methods for Variant Interpretation |
title_sort | clingen’s rasopathy expert panel consensus methods for variant interpretation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119537/ https://www.ncbi.nlm.nih.gov/pubmed/29493581 http://dx.doi.org/10.1038/gim.2018.3 |
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