通过和基因组编辑精确分类BRCA1变异
Gregory M Findlay1, Riza M Daza1, Beth Martin1
1Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Nature
|September 14, 2018
概括
这项研究使用和基因组编辑来分析BRCA1基因变异. 这些发现有助于对数千种新发现的BRCA1变种进行乳腺和卵巢癌风险分类.
科学领域:
- 基因组学
- 癌症遗传学
- 分子生物学
背景情况:
- 不确定意义的变异 (VUS) 限制了基因检测的临床使用.
- BRCA1基因变异与遗传性乳腺癌和卵巢癌有关.
- 大多数新发现的BRCA1变体缺乏确切的临床风险评估.
研究的目的:
- 系统地评估单核酸变体 (SNV) 在关键BRCA1域中的功能影响.
- 改善BRCA1变异的临床解释.
- 在可操作的基因中开发可扩展的VUS评估方法.
主要方法:
- 用和基因组编辑测试了13个关键BRCA1表原体中的96.5%可能的SNV.
- 评估了近4000个SNV的功能影响.
- 结果与已建立的致病性分类进行了比较.
主要成果:
- 在SNV的功能效应中显示出双模分布,与已知的致病性保持一致.
- 发现了400多种非功能性SNV.
- 发现了大约300种影响基因表达的SNV.
结论:
- 这项研究对BRCA1变异的临床解释提供了即时的实用性.
- 和基因组编辑方法可以解决其他临床重要基因的VUS.
- 这种方法提高了基因组数据用于癌症风险评估的临床可行性.
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