Performance testing for the sensitivity and resolution of low-pass WGS for small CNV detection

Window selection, together with sequencing depth, could influence CNV detection sensitivity and resolution of LP GS for small CNVs. This study provided a set of evaluation methods and pathways based on simulated samples and clinical cases. For CNVs < = 30 kb, 10-Kb window in 1-Kb increments and >= 50 M reads were recommended for LP GS. It would be advisable for clinical labs conducting LP GS to determine the range of sensitivity and resolution for different sliding windows and sequencing depth for CNV detection.

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Publication Details

Journal
BMC Medical Genomics
Published
2025-11-22
DOI
https://doi.org/10.1186/s12920-025-02263-9
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Performance testing for the sensitivity and resolution of low-pass WGS for small CNV detection

Yeqing Qian, Huizhen Yuan, Tng Danny Jian Hang, Guiqin Bai et al.
BMC Medical Genomics
Advanced MRI Techniques and Applications
article

Performance testing for the sensitivity and resolution of low-pass WGS for small CNV detection

Yeqing Qian, Huizhen Yuan, Tng Danny Jian Hang, Guiqin Bai, Hao Li, Juan Li, Yongyi Zou, Shuhui Huang, Yan Sun, Danping Liu, Minyue Dong, Chuan Huang, Yun Yang
article en

Abstract

Window selection, together with sequencing depth, could influence CNV detection sensitivity and resolution of LP GS for small CNVs. This study provided a set of evaluation methods and pathways based on simulated samples and clinical cases. For CNVs < = 30 kb, 10-Kb window in 1-Kb increments and >= 50 M reads were recommended for LP GS. It would be advisable for clinical labs conducting LP GS to determine the range of sensitivity and resolution for different sliding windows and sequencing depth for CNV detection.

BMC Medical GenomicsVol. 18(1)
BGI Group (China) (CN), Tianjin University of Traditional Chinese Medicine (CN), Ministry of Education (TH), Women's Hospital, School of Medicine, Zhejiang University (CN), Wuhan Children's Hospital (CN), Third Affiliated Hospital of Zhengzhou University (CN), BGI Genomics, Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 49%
Advanced MRI Techniques and Applications
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