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Identification of copy number variants by NGS-based NIPT at low sequencing depth

拷贝数变化 医学 染色体 产科 遗传学 基因组 生物 基因
作者
Xiaoqing Ye,Sheng Mou Lin,Xiwei Song,Meihua Tan,Jia Li,Jiayan Wang,Huanchen Yan,Huimin Zhang,Shaoying Li,Dunjin Chen,Min Chen
出处
期刊:European Journal of Obstetrics & Gynecology and Reproductive Biology [Elsevier]
卷期号:256: 297-301 被引量:14
标识
DOI:10.1016/j.ejogrb.2020.11.026
摘要

Abstract Objective To explore the clinical utility of detecting chromosome copy number variants (CNVs) in the fetus by noninvasive prenatal testing (NIPT) using the low-pass whole-genome sequencing. Methods Eight hundred and seventy-three singleton pregnancies with chromosomal microarray analysis (CMA) available between January 2017 to December 2019 and stored enough plasma sample for NIPT testing were included in this study. The CMA results show that forty-eight pregnancies with CNVs and eight hundred and twenty-five pregnancies are normal. Each pregnancy's plasma sample was blindly tested with NIPT at a depth of 0.51-1.19x for CNVs detection. The performance of the NIPT method for CNVs detection compared with the CMA method is evaluated. Results A total of fifty-two CNVs ranging from 0.1–47.3 Mb identified in forty-eight samples were identified by NIPT, of which thirty-four CNVs were consistent with CMA results. Additionally, eighteen CNVs were missed by NIPT. The overall sensitivity and specificity for the detection of CNVs were 65.38% (95% CI: 51.76%-76.89%) and 97.45% (95% CI: 96.12%-98.35%), respectively. However, for the detection of CNVs larger than 2 Mb and CNVs less than 2Mb, the sensitivities were 81.58% (95% CI: 66.27%-91.09%) and 21.43% (95% CI: 6.84%-48.32%), respectively. Conclusion Our study demonstrated that the NIPT might be an alternative method for screening CNVs comparable with other studies. However, CNVs less than 2Mb in length shows poor sensitivity by NIPT. Noninvasive CNVs detection based on the NIPT method still needs more clinical validation studies and technical improvement to achieve clinically acceptable accuracy.
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