Resumen
Purpose: Standardized and accurate variant assessment is essential for effective medical care. To that end, Clinical Genome (ClinGen) Resource clinical domain working groups (CDWGs) are systematically reviewing disease-associated genes for sufficient evidence to support disease causality and creating disease-specific specifications of American College of Medical Genetics and Genomics–Association for Molecular Pathology (ACMG-AMP) guidelines for consistent and accurate variant classification. Methods: The ClinGen RASopathy CDWG established an expert panel 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 16 ACMG-AMP criteria, with 5 also having adjustable strength with availability of additional evidence. Another 5 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 Unpublished case-level data from participating laboratories impacted 45% of classifications supporting the need for data sharing. Conclusion: 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 multigenic variant assessment without sacrificing specificity and accuracy.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 1334-1345 |
| Número de páginas | 12 |
| Publicación | Genetics in Medicine |
| Volumen | 20 |
| N.º | 11 |
| DOI | |
| Estado | Published - 1 nov 2018 |
Huella
Profundice en los temas de investigación de 'ClinGen’s RASopathy Expert Panel consensus methods for variant interpretation'. En conjunto forman una huella única.Citar esto
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