使用gnomAD 4.1.0和AllofUs人口参考数据集对报告不确定显著性变异的实际影响。

IF 6.2 1区 医学 Q1 GENETICS & HEREDITY
Runjun D Kumar, Sarah A Paolucci, Brittany Williams, Daniel W Serber, Claire L Wittowski, Ankita Jhuraney, Dru F Leistritz, Jillian G Buchan
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引用次数: 0

摘要

目的:罕见遗传变异的临床检测依赖于群体基因组数据集作为证据来源。来自基因组聚集数据库(gnomAD)和AllofUs研究计划的新数据集比以前的数据集大许多倍,后者包括非常详细的表型数据。这些数据集对高渗透性儿科发病疾病的变异分类和报告的影响尚未得到很好的表征,但一个可能的影响是减少了不确定意义变异(VUS)的报告。方法:我们回顾性地鉴定了之前由CAP/CLIA认证的实验室报告的VUS,并评估它们是否仍然可报告,从而提供新的参考数据集。结果:通过检查新数据集中的等位基因计数,我们确定了24个可能不再报告的变异。此外,AllofUs表型数据表明,另外10例VUS不再报告。总的来说,我们发现近五分之一的VUS(34/173, 19.6%)不再报告。结论:我们得出结论,这些新数据集的使用可能会减少报道的高渗透儿科发病疾病的VUS。这可能通过更新基因特异性阈值和改进AllofUs表型数据的可及性进一步增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-world effects of using gnomAD 4.1.0 and AllofUs population reference datasets on reporting of variants of uncertain significance.

Purpose: Clinical testing of rare genetic variants relies on population genomic datasets as a source of evidence. New datasets from the Genome Aggregation Database (gnomAD) and AllofUs Research Program are many-fold larger than prior datasets, and the latter includes highly detailed phenotype data. The effect of these datasets on variant classification and reporting for highly-penetrant pediatric-onset disease is not well characterized, but one likely effect is to reduce reporting of variants of uncertain significance (VUS).

Methods: We retrospectively identified VUS previously reported by our CAP/CLIA certified laboratory and evaluated whether they are still reportable provided new reference datasets.

Results: By examining allele counts in new datasets, we identified 24 variants that are likely no longer reportable. Additionally, the AllofUs phenotype data suggest an additional 10 VUS are no longer reportable. Overall, we find that nearly one fifth of VUS (34/173, 19.6%) are no longer reportable.

Conclusion: We conclude that the use of these new datasets is likely to reduce reported VUS for highly-penetrant pediatric-onset disease. This may be further augmented through updated gene-specific thresholds and improved accessibility of AllofUs phenotype data.

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来源期刊
Genetics in Medicine
Genetics in Medicine 医学-遗传学
CiteScore
15.20
自引率
6.80%
发文量
857
审稿时长
1.3 weeks
期刊介绍: Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health. GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.
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