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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 |
Sumario: | 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 Unpublished case-level data from participating laboratories impacted 45% of classifications supporting the need for data sharing.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. |
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