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Next-Generation Sequencing Is More Efficient at Detecting Mosaic Embryos and Improving Pregnancy Outcomes than Single-Nucleotide Polymorphism Array Analysis

Authors :
Jing Zhou
Junping Wu
Xiong Li
Shuo Zhang
Min Xiao
Sai-Juan Zhu
Caixia Lei
Yu-Lin Lu
Xiao-Yu Li
Yan-Ping Xi
Xiaoxi Sun
Yue-ping Zhang
Source :
The Journal of Molecular Diagnostics. 23:710-718
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

We compared chromosomal mosaicism, detected by next-generation sequencing (NGS), during preimplantation genetic testing (PGT) with that detected by single-nucleotide polymorphism (SNP) array-based PGT to assess the pregnancy outcomes associated with both platforms in a retrospective cohort study of patients undergoing in vitro fertilization in a single university-based assisted reproduction center. In total, 6427 blastocysts biopsied from 1513 patients who underwent 2833 oocyte retrievals from January 2017 to February 2019 were identified. The incidence of mosaicism was significantly higher in the NGS-based PGT group than in the SNP array-based PGT group. Furthermore, some aneuploid specimens were affected by mosaicism. The total mosaicism detection rate with NGS-based PGT (23.3%) was significantly higher than that with SNP array-based PGT (7.7%). Mosaicism rates were similar when stratified by maternal age or PGT type. The SNP array cohort showed a significantly higher spontaneous abortion rate than the NGS cohort (10.07% versus 6.33%; P = 0.0403). The ongoing pregnancy/live birth rate was higher in the NGS cohort (44.1%) than in the SNP array cohort (42.28%). Our results confirm that NGS-based PGT can detect mosaicism more frequently than SNP array-based PGT in trophectoderm specimens. Therefore, clinical application of NGS for PGT may improve pregnancy outcomes compared with that of SNP array-based PGT. More detailed blastocyst detection and classification is necessary to prioritize embryo transfers.

Details

ISSN :
15251578
Volume :
23
Database :
OpenAIRE
Journal :
The Journal of Molecular Diagnostics
Accession number :
edsair.doi.dedup.....a30f6e421fa5816ed699d1b86ee308b7
Full Text :
https://doi.org/10.1016/j.jmoldx.2021.02.011