CHARR有效地估计了来自DNA测序数据的污染
Wenhan Lu1, Laura D Gauthier2, Timothy Poterba1
1Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
American journal of human genetics
|November 24, 2023
概括
测序中的DNA样本污染可能导致错误. 一个新的指标CHARR (来自同卵性替代参考读数的污染) 使用变异数据估计了污染,为大型数据集提供了具有成本效益和效率的解决方案.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 在全基因组和全外基因组测序中,DNA样本的污染是一个重大挑战.
- 污染会导致基因定型错误并影响变体呼叫质量.
研究的目的:
- 开发一种用于估计DNA样本污染的新型指标.
- 为大规模测序项目提供成本效益高效的污染评估方法.
主要方法:
- 引入CHARR (来自同卵性替代参考读数的污染),这是利用变异级数据进行衡量的指标.
- 使用单样gVCF,VCF/BCF调用集或Hail变体数据集格式进行计算.
主要成果:
- CHARR准确地估计了污染水平,与现有方法相比.
- 该CHARR指标显著降低了存储和计算成本.
结论:
- 查尔为DNA样本污染评估提供了准确有效的方法.
- 这种方法可以改善超大全基因组和外基因组测序数据集的下游分析.
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