.png){kind=icon}
.png){kind=icon}
Return
A Differential Depth Sequencing Method, SPRE-Seq, for Enhancing Targeted Region Coverage in Hybridization Capture-Based NGS
.png){kind=icon}
OA
AI
H
B
Y
X
C
H
L
D
Q
DOI：10.1002/elsc.70047.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Sequencing depth is a crucial parameter for variant calling accuracy and sensitivity. The trade-off between sequencing breadth and depth is a well-known limitation in capture-based targeted next-generation sequencing (NGS). Herein, we propose a differential depth sequencing method, SPRE-Seq, to acquire different sequencing depths for different targeted regions in an NGS panel. The SPRE-Seq performance was evaluated using a panel of reference standards and clinical samples based on our custom-designed homologous recombination deficiency (HRD) assay. By applying SPRE-Seq, the effective sequencing depths of the homologous recombination repair (HRR) and HRD regions of all seven HRD reference standards met the required thresholds with only half the sequencing data volume (reduced from 12 to 6 GB). The results for the HRR genes and HRD showed 100% consistency with the expected results. In clinical samples, the effective sequencing depth of the HRR regions was significantly higher, with a sequencing data volume of 6 GB using the SPRE-Seq approach compared with 6 GB using a regular capture approach. However, there was no significant difference between a data volume of 6 GB using SPRE-Seq and 12 GB using a regular capture method. The SPRE-Seq approach was feasible and reliable for determining the HRD status and HRR somatic variants in reference standards and clinical samples at a low sequencing volume. SPRE-Seq is a reliable, feasible, and cost-effective method that can acquire an adequate sequencing depth of an NGS panel at a low sequencing data volume.
Keywords:
hybridization capture-based next-generation sequencing
oligonucleotide probes
sequencing depth
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
1.7K
Citations:
3.2K
Organization
Cited Papers