The Comprehensive Comparison of Bacterial Artificial Chromosomes (BACs)-on-Beads Assay and Copy Number Variation Sequencing in Prenatal Diagnosis of Southern Chinese Women.

J Mol Diagn

Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou City, China; Annoroad Gene Technology (Beijing) Co., Ltd., Beijing, China. Electronic address:

Published: November 2020


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Article Abstract

Bacterial artificial chromosomes (BACs)-on-Beads (BoBs) assay and copy number variation sequencing (CNV-seq) are two frequently used methods in today's prenatal diagnosis. Several studies were conducted to investigate the performance of each approach, but they were never compared side by side. In this article, a comprehensive comparison of BoBs and CNV-seq was conducted using 1876 amniotic fluid and umbilical cord blood samples collected from Fujian Maternity and Child Health Hospital between 2015 and 2019. Karyotyping was used as the gold standard for chromosome structure variation, and chromosomal microarray analysis was performed to validate inconsistent results. Overall, 174 cases of confirmed chromosome anomalies were detected, including 73 chromosomal aneuploidies, 10 mosaics, 30 pathogenic CNVs, and 61 other structural anomalies. BoBs and CNV-seq achieved a 100% concordance in all 55 pathogenic euchromosome aneuploidies, but CNV-seq had a higher detection rate in sex chromosome aneuploidy and mosaic identification. For CNV detection, all of the 20 pathogenic CNVs discovered by the BoBs assay also were identified by CNV-seq and 10 additional pathogenic CNVs were observed by CNV-seq. The results of this study showed that CNV-seq was a reliable and more favorable method in terms of detection rate, costs, and disease range. In combination with karyotyping, CNV-seq could improve the efficiency and accuracy of a prenatal diagnosis to alleviate maternal emotional anxiety and deduce birth defects.

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http://dx.doi.org/10.1016/j.jmoldx.2020.07.005DOI Listing

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