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Clinical validity assessment of genes for inclusion in multi‐gene panel testing: A systematic approach

机译:基因临床有效性评估纳入多基因面板检测:系统方法

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Background Advances in sequencing technology have led to expanded use of multi‐gene panel tests (MGPTs) for clinical diagnostics. Well‐designed MGPTs must balance increased detection of clinically significant findings while mitigating the increase in variants of uncertain?significance (VUS). To maximize clinical utililty, design of such panels should include comprehensive gene vetting using a standardized clinical validity (CV) scoring system. Methods To assess the impact of CV‐based gene vetting on MGPT results, data from MGPTs for cardiovascular indications were retrospectively analyzed. Using our CV scoring system, genes were categorized as having definitive, strong, moderate, or limited evidence. The rates of reported pathogenic or likely pathogenic variants and VUS were then determined for each CV category. Results Of 106 total genes, 42% had definitive, 17% had strong, 29% had moderate, and 12% had limited CV. The detection rate of variants classified as pathogenic or likely pathogenic was higher for genes with greater CV, while the VUS rate showed an inverse relationship with CV score. No pathogenic or likely pathogenic findings were observed in genes with a limited CV. Conclusion These results demonstrate the importance of a standardized, evidence‐based vetting process to establish CV for genes on MGPTs. Using our proposed system may help to increase the detection rate while mitigating higher VUS rates.
机译:测序技术的背景进步导致扩展使用多基因面板测试(MGPT)进行临床诊断。精心设计的MGPT必须平衡临床显着发现的检测,同时减轻了不确定的变异性的增加(VUS)。为了最大限度地利用临床利用,这些面板的设计应包括使用标准化的临床有效性(CV)评分系统的综合基因吐温。方法评估基于CV的基因对MGPT结果影响的影响,回顾性分析了来自MGPT的MGPT的数据。使用我们的CV评分系统,基因分类为具有明确,强,中等或有限的证据。然后针对每个CV类别确定报告的致病或可能的致病变体和VUS的速率。结果106个总基因,42%患有最终的,17%强,29%具有中等,12%有限的CV。对于具有更高CV的基因,分类为致病或可能致病的变体的检出率较高,而VUS率显示与CV评分的反比关系。在具有有限CV的基因中没有观察到致病或可能的致病结果。结论这些结果证明了标准化,基于证据的审查过程的重要性,以在MGPT上建立CV的基因。使用我们所提出的系统可能有助于提高检测率,同时缓解更高的VUS速率。

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