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A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests

During the period of 2018–2020, we first combined reported low-pass whole genome sequencing and NGS-based STR tests for miscarriage samples analysis. Compared with G-banding karyotyping, the system increased the detection rate of chromosomal abnormalities in miscarriage samples to 56.4% in 500 unexp...

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Autores principales: Lei, Caixia, Liao, Kai, Zhao, Yuwei, Long, Zhoukai, Zhu, Saijuan, Wu, Junping, Xiao, Min, Zhou, Jing, Zhang, Shuo, Li, Lianbin, Zhu, Yijian, Lu, Daru, Yang, Jingmin, Sun, Xiaoxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003649/
https://www.ncbi.nlm.nih.gov/pubmed/36902595
http://dx.doi.org/10.3390/jcm12051809
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author Lei, Caixia
Liao, Kai
Zhao, Yuwei
Long, Zhoukai
Zhu, Saijuan
Wu, Junping
Xiao, Min
Zhou, Jing
Zhang, Shuo
Li, Lianbin
Zhu, Yijian
Lu, Daru
Yang, Jingmin
Sun, Xiaoxi
author_facet Lei, Caixia
Liao, Kai
Zhao, Yuwei
Long, Zhoukai
Zhu, Saijuan
Wu, Junping
Xiao, Min
Zhou, Jing
Zhang, Shuo
Li, Lianbin
Zhu, Yijian
Lu, Daru
Yang, Jingmin
Sun, Xiaoxi
author_sort Lei, Caixia
collection PubMed
description During the period of 2018–2020, we first combined reported low-pass whole genome sequencing and NGS-based STR tests for miscarriage samples analysis. Compared with G-banding karyotyping, the system increased the detection rate of chromosomal abnormalities in miscarriage samples to 56.4% in 500 unexplained recurrent spontaneous abortions. In this study, a total of 386 STR loci were developed on twenty-two autosomes and two sex chromosomes (X and Y chromosomes), which can help to distinguish triploidy, uniparental diploidy and maternal cell contamination and can trace the parental origin of erroneous chromosomes. It is not possible to accomplish this with existing methods of detection in miscarriage samples. Among the tested aneuploid errors, the most frequently detected error was trisomy (33.4% in total and 59.9% in the error chromosome group). In the trisomy samples, 94.7% extra chromosomes were of maternal origin and 5.31% were of paternal origin. This novel system improves the genetic analysis method of miscarriage samples and provides more reference information for clinical pregnancy guidance.
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spelling pubmed-100036492023-03-11 A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests Lei, Caixia Liao, Kai Zhao, Yuwei Long, Zhoukai Zhu, Saijuan Wu, Junping Xiao, Min Zhou, Jing Zhang, Shuo Li, Lianbin Zhu, Yijian Lu, Daru Yang, Jingmin Sun, Xiaoxi J Clin Med Article During the period of 2018–2020, we first combined reported low-pass whole genome sequencing and NGS-based STR tests for miscarriage samples analysis. Compared with G-banding karyotyping, the system increased the detection rate of chromosomal abnormalities in miscarriage samples to 56.4% in 500 unexplained recurrent spontaneous abortions. In this study, a total of 386 STR loci were developed on twenty-two autosomes and two sex chromosomes (X and Y chromosomes), which can help to distinguish triploidy, uniparental diploidy and maternal cell contamination and can trace the parental origin of erroneous chromosomes. It is not possible to accomplish this with existing methods of detection in miscarriage samples. Among the tested aneuploid errors, the most frequently detected error was trisomy (33.4% in total and 59.9% in the error chromosome group). In the trisomy samples, 94.7% extra chromosomes were of maternal origin and 5.31% were of paternal origin. This novel system improves the genetic analysis method of miscarriage samples and provides more reference information for clinical pregnancy guidance. MDPI 2023-02-23 /pmc/articles/PMC10003649/ /pubmed/36902595 http://dx.doi.org/10.3390/jcm12051809 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lei, Caixia
Liao, Kai
Zhao, Yuwei
Long, Zhoukai
Zhu, Saijuan
Wu, Junping
Xiao, Min
Zhou, Jing
Zhang, Shuo
Li, Lianbin
Zhu, Yijian
Lu, Daru
Yang, Jingmin
Sun, Xiaoxi
A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests
title A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests
title_full A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests
title_fullStr A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests
title_full_unstemmed A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests
title_short A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests
title_sort novel system for the detection of spontaneous abortion-causing aneuploidy and its erroneous chromosome origins through the combination of low-pass copy number variation sequencing and ngs-based str tests
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003649/
https://www.ncbi.nlm.nih.gov/pubmed/36902595
http://dx.doi.org/10.3390/jcm12051809
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