Cargando…
The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis
Background: An increase in pathogenic copy number variants (pCNVs) has been recognized to associate with fetal growth restriction (FGR). Here, we aim to explore the application value of chromosomal microarray analysis (CMA) in prenatal diagnosis of FGR. Methods: Prenatal ultrasound was applied to id...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555260/ https://www.ncbi.nlm.nih.gov/pubmed/34722424 http://dx.doi.org/10.3389/fped.2021.743639 |
_version_ | 1784591942352371712 |
---|---|
author | Chen, Yu'e Xie, Yingjun Jiang, Yuying Luo, Qi Shi, Lijing Zeng, Shuhong Zhuang, Jianlong Lyu, Guorong |
author_facet | Chen, Yu'e Xie, Yingjun Jiang, Yuying Luo, Qi Shi, Lijing Zeng, Shuhong Zhuang, Jianlong Lyu, Guorong |
author_sort | Chen, Yu'e |
collection | PubMed |
description | Background: An increase in pathogenic copy number variants (pCNVs) has been recognized to associate with fetal growth restriction (FGR). Here, we aim to explore the application value of chromosomal microarray analysis (CMA) in prenatal diagnosis of FGR. Methods: Prenatal ultrasound was applied to identify FGR. A total of 149 pregnant women with FGR were enrolled in our study. All subjects underwent karyotype analysis and CMA to reveal the chromosomal abnormalities. Results: In this study, all subjects were successfully detected by karyotype and CMA analyses. Of these subjects, the chromosomal abnormalities detection rate was 5.37% (8/149) for karyotyping and 13.42% (20/149) for CMA, respectively. Among them, an 8.05% (12/149) incremental yield of CMA over karyotype analysis was observed (p = 0.004). In addition, a significant difference of pCNV detection rate was observed between the groups with different high-risk factors (p = 0.005). The FGR with structural anomalies group showed the highest pCNV detection rate (33.33%), followed by the FGR with non-structural anomalies group (8.77%) and the isolated FGR group (8.06%). Conclusion: In conclusion, CMA technology showed an effective application value in etiology diagnosis of FGR. We believe that CMA should be recommended as first-line detection technology for prenatal diagnosis in FGR. |
format | Online Article Text |
id | pubmed-8555260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85552602021-10-30 The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis Chen, Yu'e Xie, Yingjun Jiang, Yuying Luo, Qi Shi, Lijing Zeng, Shuhong Zhuang, Jianlong Lyu, Guorong Front Pediatr Pediatrics Background: An increase in pathogenic copy number variants (pCNVs) has been recognized to associate with fetal growth restriction (FGR). Here, we aim to explore the application value of chromosomal microarray analysis (CMA) in prenatal diagnosis of FGR. Methods: Prenatal ultrasound was applied to identify FGR. A total of 149 pregnant women with FGR were enrolled in our study. All subjects underwent karyotype analysis and CMA to reveal the chromosomal abnormalities. Results: In this study, all subjects were successfully detected by karyotype and CMA analyses. Of these subjects, the chromosomal abnormalities detection rate was 5.37% (8/149) for karyotyping and 13.42% (20/149) for CMA, respectively. Among them, an 8.05% (12/149) incremental yield of CMA over karyotype analysis was observed (p = 0.004). In addition, a significant difference of pCNV detection rate was observed between the groups with different high-risk factors (p = 0.005). The FGR with structural anomalies group showed the highest pCNV detection rate (33.33%), followed by the FGR with non-structural anomalies group (8.77%) and the isolated FGR group (8.06%). Conclusion: In conclusion, CMA technology showed an effective application value in etiology diagnosis of FGR. We believe that CMA should be recommended as first-line detection technology for prenatal diagnosis in FGR. Frontiers Media S.A. 2021-10-15 /pmc/articles/PMC8555260/ /pubmed/34722424 http://dx.doi.org/10.3389/fped.2021.743639 Text en Copyright © 2021 Chen, Xie, Jiang, Luo, Shi, Zeng, Zhuang and Lyu. 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 | Pediatrics Chen, Yu'e Xie, Yingjun Jiang, Yuying Luo, Qi Shi, Lijing Zeng, Shuhong Zhuang, Jianlong Lyu, Guorong The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis |
title | The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis |
title_full | The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis |
title_fullStr | The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis |
title_full_unstemmed | The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis |
title_short | The Genetic Etiology Diagnosis of Fetal Growth Restriction Using Single-Nucleotide Polymorphism-Based Chromosomal Microarray Analysis |
title_sort | genetic etiology diagnosis of fetal growth restriction using single-nucleotide polymorphism-based chromosomal microarray analysis |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555260/ https://www.ncbi.nlm.nih.gov/pubmed/34722424 http://dx.doi.org/10.3389/fped.2021.743639 |
work_keys_str_mv | AT chenyue thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT xieyingjun thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT jiangyuying thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT luoqi thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT shilijing thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT zengshuhong thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT zhuangjianlong thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT lyuguorong thegeneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT chenyue geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT xieyingjun geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT jiangyuying geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT luoqi geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT shilijing geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT zengshuhong geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT zhuangjianlong geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis AT lyuguorong geneticetiologydiagnosisoffetalgrowthrestrictionusingsinglenucleotidepolymorphismbasedchromosomalmicroarrayanalysis |