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Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping

Background and aims: Certain chromosomal structural variations (SVs) in biological parents can lead to recurrent spontaneous abortions (RSAs). Unequal crossing over during meiosis can result in the unbalanced rearrangement of gamete chromosomes such as duplication or deletion. Unfortunately, routine...

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Autores principales: Rao, Huihua, Zhang, Haoyi, Zou, Yongyi, Ma, Pengpeng, Huang, Tingting, Yuan, Huizhen, Zhou, Jihui, Lu, Wan, Li, Qiao, Huang, Shuhui, Liu, Yanqiu, Yang, Bicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507169/
https://www.ncbi.nlm.nih.gov/pubmed/37732322
http://dx.doi.org/10.3389/fgene.2023.1248755
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author Rao, Huihua
Zhang, Haoyi
Zou, Yongyi
Ma, Pengpeng
Huang, Tingting
Yuan, Huizhen
Zhou, Jihui
Lu, Wan
Li, Qiao
Huang, Shuhui
Liu, Yanqiu
Yang, Bicheng
author_facet Rao, Huihua
Zhang, Haoyi
Zou, Yongyi
Ma, Pengpeng
Huang, Tingting
Yuan, Huizhen
Zhou, Jihui
Lu, Wan
Li, Qiao
Huang, Shuhui
Liu, Yanqiu
Yang, Bicheng
author_sort Rao, Huihua
collection PubMed
description Background and aims: Certain chromosomal structural variations (SVs) in biological parents can lead to recurrent spontaneous abortions (RSAs). Unequal crossing over during meiosis can result in the unbalanced rearrangement of gamete chromosomes such as duplication or deletion. Unfortunately, routine techniques such as karyotyping, fluorescence in situ hybridization (FISH), chromosomal microarray analysis (CMA), and copy number variation sequencing (CNV-seq) cannot detect all types of SVs. In this study, we show that optical genome mapping (OGM) quickly and accurately detects SVs for RSA patients with a high resolution and provides more information about the breakpoint regions at gene level. Methods: Seven couples who had suffered RSA with unbalanced chromosomal rearrangements of aborted embryos were recruited, and ultra-high molecular weight (UHMW) DNA was isolated from their peripheral blood. The consensus genome map was created by de novo assembly on the Bionano Solve data analysis software. SVs and breakpoints were identified via alignments of the reference genome GRCh38/hg38. The exact breakpoint sequences were verified using either Oxford Nanopore sequencing or Sanger sequencing. Results: Various SVs in the recruited couples were successfully detected by OGM. Also, additional complex chromosomal rearrangement (CCRs) and four cryptic balanced reciprocal translocations (BRTs) were revealed, further refining the underlying genetic causes of RSA. Two of the disrupted genes identified in this study, FOXK2 [46,XY,t(7; 17)(q31.3; q25)] and PLXDC2 [46,XX,t(10; 16)(p12.31; q23.1)], had been previously shown to be associated with male fertility and embryo transit. Conclusion: OGM accurately detects chromosomal SVs, especially cryptic BRTs and CCRs. It is a useful complement to routine human genetic diagnostics, such as karyotyping, and detects cryptic BRTs and CCRs more accurately than routine genetic diagnostics.
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spelling pubmed-105071692023-09-20 Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping Rao, Huihua Zhang, Haoyi Zou, Yongyi Ma, Pengpeng Huang, Tingting Yuan, Huizhen Zhou, Jihui Lu, Wan Li, Qiao Huang, Shuhui Liu, Yanqiu Yang, Bicheng Front Genet Genetics Background and aims: Certain chromosomal structural variations (SVs) in biological parents can lead to recurrent spontaneous abortions (RSAs). Unequal crossing over during meiosis can result in the unbalanced rearrangement of gamete chromosomes such as duplication or deletion. Unfortunately, routine techniques such as karyotyping, fluorescence in situ hybridization (FISH), chromosomal microarray analysis (CMA), and copy number variation sequencing (CNV-seq) cannot detect all types of SVs. In this study, we show that optical genome mapping (OGM) quickly and accurately detects SVs for RSA patients with a high resolution and provides more information about the breakpoint regions at gene level. Methods: Seven couples who had suffered RSA with unbalanced chromosomal rearrangements of aborted embryos were recruited, and ultra-high molecular weight (UHMW) DNA was isolated from their peripheral blood. The consensus genome map was created by de novo assembly on the Bionano Solve data analysis software. SVs and breakpoints were identified via alignments of the reference genome GRCh38/hg38. The exact breakpoint sequences were verified using either Oxford Nanopore sequencing or Sanger sequencing. Results: Various SVs in the recruited couples were successfully detected by OGM. Also, additional complex chromosomal rearrangement (CCRs) and four cryptic balanced reciprocal translocations (BRTs) were revealed, further refining the underlying genetic causes of RSA. Two of the disrupted genes identified in this study, FOXK2 [46,XY,t(7; 17)(q31.3; q25)] and PLXDC2 [46,XX,t(10; 16)(p12.31; q23.1)], had been previously shown to be associated with male fertility and embryo transit. Conclusion: OGM accurately detects chromosomal SVs, especially cryptic BRTs and CCRs. It is a useful complement to routine human genetic diagnostics, such as karyotyping, and detects cryptic BRTs and CCRs more accurately than routine genetic diagnostics. Frontiers Media S.A. 2023-09-04 /pmc/articles/PMC10507169/ /pubmed/37732322 http://dx.doi.org/10.3389/fgene.2023.1248755 Text en Copyright © 2023 Rao, Zhang, Zou, Ma, Huang, Yuan, Zhou, Lu, Li, Huang, Liu and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Rao, Huihua
Zhang, Haoyi
Zou, Yongyi
Ma, Pengpeng
Huang, Tingting
Yuan, Huizhen
Zhou, Jihui
Lu, Wan
Li, Qiao
Huang, Shuhui
Liu, Yanqiu
Yang, Bicheng
Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
title Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
title_full Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
title_fullStr Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
title_full_unstemmed Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
title_short Analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
title_sort analysis of chromosomal structural variations in patients with recurrent spontaneous abortion using optical genome mapping
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507169/
https://www.ncbi.nlm.nih.gov/pubmed/37732322
http://dx.doi.org/10.3389/fgene.2023.1248755
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