Literature DB >> 33310305

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

Xiaoqing Ye1, Shengmou Lin2, Xiwei Song3, Meihua Tan3, Jia Li3, Jiayan Wang1, Huanchen Yan1, Huimin Zhang4, Shaoying Li4, Dunjin Chen1, Min Chen5.   

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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Chromosomal microarray analysis; Copy number variants; Noninvasive prenatal testing; Sensitivity; Specificity; lOw-Pass whole-genome sequencing

Mesh:

Year:  2020        PMID: 33310305     DOI: 10.1016/j.ejogrb.2020.11.026

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol        ISSN: 0301-2115            Impact factor:   2.435


  6 in total

1.  Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants.

Authors:  Wenli Wang; Fengying Lu; Bin Zhang; Qin Zhou; Yingping Chen; Bin Yu
Journal:  Orphanet J Rare Dis       Date:  2022-07-08       Impact factor: 4.303

2.  Maternal Xp22.31 copy-number variations detected in non-invasive prenatal screening effectively guide the prenatal diagnosis of X-linked ichthyosis.

Authors:  Xinxin Tang; Zhiwei Wang; Shuting Yang; Min Chen; Yue Zhang; Fang Zhang; Juan Tan; Ting Yin; Leilei Wang
Journal:  Front Genet       Date:  2022-08-31       Impact factor: 4.772

3.  A retrospective single-center analysis of prenatal diagnosis and follow-up of 626 chinese patients with positive non-invasive prenatal screening results.

Authors:  Xiufen Bu; Shihao Zhou; Xu Li; Shihong Li; Hongyu Li; Siyi Ding; Jun He; Siyuan Linpeng
Journal:  Front Genet       Date:  2022-09-19       Impact factor: 4.772

Review 4.  Non-invasive Prenatal Testing, What Patients Do Not Learn, May Be Due to Lack of Specialist Genetic Training by Gynecologists and Obstetricians?

Authors:  Thomas Liehr
Journal:  Front Genet       Date:  2021-06-17       Impact factor: 4.599

5.  Inherited unbalanced reciprocal translocation with 3q duplication and 5p deletion in a foetus revealed by cell-free foetal DNA (cffDNA) testing: a case report.

Authors:  Taccyanna M Ali; Emilia Mateu-Brull; Nuria Balaguer; Camila Dantas; Haline Risso Borges; Mariana Quintans Guerra de Oliveira; Lorena Rodrigo; Inmaculada Campos-Galindo; Roser Navarro; Miguel Milán
Journal:  Eur J Med Res       Date:  2021-06-29       Impact factor: 2.175

6.  Comprehensive Evaluation of Non-invasive Prenatal Screening to Detect Fetal Copy Number Variations.

Authors:  Jing Wang; Bin Zhang; Lingna Zhou; Qin Zhou; Yingping Chen; Bin Yu
Journal:  Front Genet       Date:  2021-07-16       Impact factor: 4.599

  6 in total

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