从专家判断到结构化指南:DNA变异解释的简史和光明前景。

IF 1.2 4区 生物学 Q4 GENETICS & HEREDITY
Andreas Laner, Bin Alwi Zilfalil, Sherifa Ahmed Hamed, Huy Do, Iscia Lopes-Cendes, Tilak Shrestha, Edward Tobias, Angela Solano, Ada Hamosh, Dhavendra Kumar
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引用次数: 0

摘要

背景:序列变异的分类是人类遗传诊断的核心,是临床指导的基础,错误的序列变异分类可能对患者及其家属造成极大的伤害。方法:我们概述了思想和算法的演变,这些思想和算法在过去几十年中导致了复杂分类系统的制定,最终形成了ACMG/AMP分类系统。此外,我们在DNA分析的临床翻译中解决了一个尚未解决的问题:不明确意义的变异(VUS)。结果:严格的数据共享和VUS的子分类有助于更清晰地解释VUS。结论:这篇综述强调了HUGO教育委员会的努力,赋予专业人员——特别是在资源有限的环境中——高质量变异解释所需的专业知识,促进公平获取基因组医学的变革潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From Expert Judgment to Structured Guidelines: A Brief History and Bright Future of DNA Variant Interpretation

From Expert Judgment to Structured Guidelines: A Brief History and Bright Future of DNA Variant Interpretation

Background

The classification of sequence variants is at the core of human genetic diagnostics and is the basis for clinical guidance - incorrectly classified variants may cause great harm to patients and their families.

Methods

We provide an overview of the evolution of ideas and algorithms that have led to the formulation of elaborate classification systems over the last decades, culminating in the ACMG/AMP classification system. Furthermore, we address a still unsolved problem in the clinical translation of DNA analyses: variants of unclear significance (VUS).

Results

Rigorous data sharing and the sub-categorisation of VUS could facilitate a clearer interpretation of VUS.

Conclusion

This review underscores the efforts of the HUGO Education Committee to empower professional—sespecially in resource-limited settings—with the expertise needed for high-quality variant interpretation, fostering equitable access to the transformative potential of genomic medicine.

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来源期刊
Annals of Human Genetics
Annals of Human Genetics 生物-遗传学
CiteScore
4.20
自引率
0.00%
发文量
34
审稿时长
3 months
期刊介绍: Annals of Human Genetics publishes material directly concerned with human genetics or the application of scientific principles and techniques to any aspect of human inheritance. Papers that describe work on other species that may be relevant to human genetics will also be considered. Mathematical models should include examples of application to data where possible. Authors are welcome to submit Supporting Information, such as data sets or additional figures or tables, that will not be published in the print edition of the journal, but which will be viewable via the online edition and stored on the website.
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