DEVOUR:在全表皮体测序中发现区域的有害变体
Erdem Türk1,2, Akif Ayaz3, Ayhan Yüksek1
1Department of Computer Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey.
PeerJ
|September 20, 2023
概括
在低覆盖率的全外体序列测序 (WES) 数据中识别与疾病相关的变异对于临床诊断至关重要. DEVOUR 工具有助于在这些未被发现的基因组区域中找到临床意义上的变异.
科学领域:
- 基因组学就是基因组学.
- 临床诊断 临床诊断 临床诊断
- 生物信息学是一种生物信息学.
背景情况:
- 全外体测序 (WES) 对于临床诊断至关重要.
- 在WES数据中覆盖率较低的地区可能存在临床上显著的变异.
- 识别这些变异对于准确的患者诊断至关重要.
研究的目的:
- 开发一种工具,用于识别低覆盖率的WES地区的临床重要变异.
- 为分析 WES 数据引入 DEVOUR (未覆盖地区的有害变体).
- 加强在具有挑战性的基因组领域的变种检测.
主要方法:
- DEVOUR分析了来自WES实验的读取对齐.
- 它确定了基因组区域的覆盖率很低或不存在 (阅读深度<5).
- 在覆盖率较低的地区的已知变体使用临床数据库进行注释.
主要成果:
- 在Hirschsprung病 WES项目的28个样本中应用了DEVOUR.
- 该工具在覆盖率较低的地区发现了98种潜在的疾病相关变异.
- 这证明了DEVOUR在发现关键遗传信息方面的实用性.
结论:
- DEVOUR 是一种有效的桌面应用程序,用于检测低覆盖率 WES 数据中的变体.
- 该工具有助于识别标准分析中遗漏的临床显著变异.
- 在基于WES的临床环境中,DEVOUR可以提高诊断产量.
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