Next-generation sequencing in Charcot-Marie-Tooth: a proposal for improvement of ACMG guidelines for variant evaluation

医学遗传学 鉴定(生物学) 基因组学 计算生物学 基因检测 计算机科学 疾病 基因组测序 医学 生物信息学 生物 遗传学 病理 基因组 基因 植物
作者
Alessandro Geroldi,Alessia Mammi,Andrea Gaudio,Serena Patrone,Andrea La Barbera,Paola Origone,Clarissa Ponti,Francesca Sanguineri,Sara Massucco,Lucio Marinelli,Marina Grandis,Angelo Schenone,Paola Mandich,Emilia Bellone,Fabio Gotta
出处
期刊:Journal of Medical Genetics [BMJ]
卷期号:61 (9): 847-852 被引量:4
标识
DOI:10.1136/jmg-2024-110019
摘要

Background The application of massive parallel sequencing technologies in the molecular analysis of Charcot-Marie-Tooth (CMT) has enabled the rapid and cost-effective identification of numerous potentially significant variants for diagnostic purposes. The objective is to reduce the number of variants, focusing only on those with pathogenic significance. The 2015 American College of Medical Genetics and Genomics (ACMG) guidelines aid in achieving this goal, but it is now evident that a pathology or gene-specific review of these rules is essential to avoid misinterpretations that may result from blindly applying the criteria. This study demonstrates how revised ACMG criteria, combined with CMT-specific literature data and expertise, can alter the final classification of a variant. Methods We reviewed ACMG criteria based on current knowledge of CMT and provided suggestions for adapting them to the specificities of CMT. Results Of the 226 index patients analysed, a diagnostic yield of 20% was obtained. It is worth noting that the 9% of cases had their final diagnosis changed with the application of the revised criteria, often resulting in the loss of the pathogenic classification of a variant. Conclusions The widespread availability of high-throughput sequencing technologies has enabled genetic testing even for laboratories without specific disease expertise. Disease-specific ACMG criteria can be a valuable tool to prevent the proliferation of variants of uncertain significance and the misinterpretation of variants.

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