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Updated: Jul 4, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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良性误解变异的可用性"真相集"用于功能分析的验证:当前状态和系统方法

Charlie F Rowlands1, Sophie Allen1, Alice Garrett2

  • 1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.

American journal of human genetics
|September 9, 2025
PubMed
概括

构建全面的良性变异真相集对于准确地使用变异效应多重测试 (MAVEs) 来分类遗传变异至关重要. 本研究提出了一个框架,以最大限度地提高MAVE的功能证据,提高变体分类准确度.

关键词:
在ACMG中,ACMG就是ACMG.布林尼赫 (Brnich Brnich) 是一个古老的城市.克林瓦尔 (ClinVar) 是一个马维 (MAVE) 是一个非常强大的企业.对于PS3来说,这是一个很好的选择.测试验证测试验证功能数据 功能数据真理设定了真理,设定了真理.变体解释变体解释

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