ClinVar数据库的进化及其对肿瘤综合基因组分析中潜在致病性种系变异报告的影响。

IF 3.3 Q3 ONCOLOGY
Allison W Kurian, Erica Gornstein, Lisa Heppler, Kali Chatham Dougherty, Rachel B Keller-Evans
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引用次数: 0

摘要

尽管建议对高比例的癌症患者进行生殖系基因检测,但它的应用却普遍不足。潜在种系起源的致病变异分类(潜在致病种系变异;来自肿瘤综合基因组分析(CGP)的PPGV能够通过临床种系评估的替代途径识别高癌症风险的患者和家庭。基础医学利用ClinVar数据库中的证据对ppgv进行分类。我们调查了ClinVar数据库在两年期间的发展对实体肿瘤中ppgv分类的影响。数据库的大幅增长(24种癌症易感基因的分类变异增加了52.2%)导致PPGV患病率适度增加(组织和液体活检合计增加0.5%)。虽然由于致病分类证据不足导致ppgv的过滤在所有祖先群体中都有所下降,但仍然观察到南亚(40.0%)、混合美洲(36.5%)和非洲(36.3%)患者与欧洲基因组血统(33.8%,所有比较P≤0.01)患者的变异过滤不成比例。需要继续改进基因检测的获取和数据共享,以缩小差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ClinVar Database Evolution and Impact on Potential Pathogenic Germline Variant Reporting from Tumor Comprehensive Genomic Profiling.

Although recommended for a high percentage of patients with cancer, germline genetic testing is widely underutilized. Classification of pathogenic variants of potential germline origin (potential pathogenic germline variants; PPGV) from tumor comprehensive genomic profiling enables identification of patients and families with high cancer risk via an alternative pathway to clinical germline evaluation. Foundation Medicine utilizes evidence in the ClinVar database to classify PPGVs. We investigated the impact of ClinVar database evolution over a 2-year period on the classification of PPGVs across solid tumors. Substantial growth in the database (a 52.2% increase in classified variants across 24 cancer susceptibility genes) yielded a modest increase in PPGV prevalence (+0.5% across tissue and liquid biopsies combined). Whereas filtering of PPGVs because of insufficient evidence for pathogenic classification decreased across all ancestry groups, disproportionate filtering of variants in patients of South Asian (40.0%), admixed American (36.5%), and African (36.3%) versus European genomic ancestry (33.8%, P ≤ 0.01 for all comparisons) was still observed. Continuing improvements to genetic testing access and data sharing are needed to mitigate disparities.

Significance: Whereas efforts to improve data sharing have led to the growth of public genomic databases (e.g., ClinVar) over time, underutilization of genetic testing and persistent racial and ethnic disparities are limitations that continue to affect these important resources.

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