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Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing
Chromosomal abnormalities (CAs) can cause spontaneous miscarriage and increase the incidence of subsequent pregnancy loss and other complications. Presently, CAs are detected mainly by array comparative genomic hybridization (CGH) and single nucleotide polymorphism microarrays. The present study dev...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7339674/ https://www.ncbi.nlm.nih.gov/pubmed/32626971 http://dx.doi.org/10.3892/mmr.2020.11208 |
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author | Li, Fen-Xia Xie, Mei-Juan Qu, Shou-Fang He, Dan Wu, Long Liang, Zhi-Kun Wu, Ying-Song Yang, Fang Yang, Xue-Xi |
author_facet | Li, Fen-Xia Xie, Mei-Juan Qu, Shou-Fang He, Dan Wu, Long Liang, Zhi-Kun Wu, Ying-Song Yang, Fang Yang, Xue-Xi |
author_sort | Li, Fen-Xia |
collection | PubMed |
description | Chromosomal abnormalities (CAs) can cause spontaneous miscarriage and increase the incidence of subsequent pregnancy loss and other complications. Presently, CAs are detected mainly by array comparative genomic hybridization (CGH) and single nucleotide polymorphism microarrays. The present study developed a low-coverage next-generation sequencing method to detect CAs in spontaneous miscarriage and assess its clinical performance. In total, 1,401 patients who had experienced an abortion were enrolled in the present study and divided into two groups. In group I, 437 samples that had been previously validated by array CGH were used to establish a method to detect CAs using a semiconductor sequencing platform. In group II, 964 samples, which were not verified, were assessed using established methods with respect to clinical significance. Copy number variant (CNV)-positive and euploidy samples were verified by array CGH and short tandem repeat profiling, respectively, based on quantitative fluorescent PCR. The low-coverage sequencing method detected CNVs >1 Mb in length and a total of 3.5 million unique reads. Similar results to array CGH were obtained in group I, except for six CNVs <1 Mb long. In group II, there were 341 aneuploidies, 195 CNVs, 25 mosaicisms and 403 euploidies. Overall, among the 1,401 abortion samples, there were 536 aneuploidies, 263 CNVs, 34 mosaicisms, and 568 euploidies. Trisomies were present in all autosomal chromosomes. The most common aneuploidies were T16, monosomy X, T22, T15, T21 and T13. Furthermore, one tetrasomy 21, one CNV associated with Wolf-Hirschhorn syndrome, one associated with DiGeorge syndrome and one associated with both Prader-Willi and Angelman syndromes were identified. These four cases were confirmed by short tandem repeat profiling and array CGH. Quantitative fluorescent PCR revealed nine polyploidy samples. The present method demonstrated equivalent efficacy to that of array CGH in detecting CNVs >1 Mb, with advantages of requiring less input DNA and lower cost. |
format | Online Article Text |
id | pubmed-7339674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-73396742020-07-09 Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing Li, Fen-Xia Xie, Mei-Juan Qu, Shou-Fang He, Dan Wu, Long Liang, Zhi-Kun Wu, Ying-Song Yang, Fang Yang, Xue-Xi Mol Med Rep Articles Chromosomal abnormalities (CAs) can cause spontaneous miscarriage and increase the incidence of subsequent pregnancy loss and other complications. Presently, CAs are detected mainly by array comparative genomic hybridization (CGH) and single nucleotide polymorphism microarrays. The present study developed a low-coverage next-generation sequencing method to detect CAs in spontaneous miscarriage and assess its clinical performance. In total, 1,401 patients who had experienced an abortion were enrolled in the present study and divided into two groups. In group I, 437 samples that had been previously validated by array CGH were used to establish a method to detect CAs using a semiconductor sequencing platform. In group II, 964 samples, which were not verified, were assessed using established methods with respect to clinical significance. Copy number variant (CNV)-positive and euploidy samples were verified by array CGH and short tandem repeat profiling, respectively, based on quantitative fluorescent PCR. The low-coverage sequencing method detected CNVs >1 Mb in length and a total of 3.5 million unique reads. Similar results to array CGH were obtained in group I, except for six CNVs <1 Mb long. In group II, there were 341 aneuploidies, 195 CNVs, 25 mosaicisms and 403 euploidies. Overall, among the 1,401 abortion samples, there were 536 aneuploidies, 263 CNVs, 34 mosaicisms, and 568 euploidies. Trisomies were present in all autosomal chromosomes. The most common aneuploidies were T16, monosomy X, T22, T15, T21 and T13. Furthermore, one tetrasomy 21, one CNV associated with Wolf-Hirschhorn syndrome, one associated with DiGeorge syndrome and one associated with both Prader-Willi and Angelman syndromes were identified. These four cases were confirmed by short tandem repeat profiling and array CGH. Quantitative fluorescent PCR revealed nine polyploidy samples. The present method demonstrated equivalent efficacy to that of array CGH in detecting CNVs >1 Mb, with advantages of requiring less input DNA and lower cost. D.A. Spandidos 2020-08 2020-06-03 /pmc/articles/PMC7339674/ /pubmed/32626971 http://dx.doi.org/10.3892/mmr.2020.11208 Text en Copyright: © Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Li, Fen-Xia Xie, Mei-Juan Qu, Shou-Fang He, Dan Wu, Long Liang, Zhi-Kun Wu, Ying-Song Yang, Fang Yang, Xue-Xi Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
title | Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
title_full | Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
title_fullStr | Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
title_full_unstemmed | Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
title_short | Detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
title_sort | detection of chromosomal abnormalities in spontaneous miscarriage by low-coverage next-generation sequencing |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7339674/ https://www.ncbi.nlm.nih.gov/pubmed/32626971 http://dx.doi.org/10.3892/mmr.2020.11208 |
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