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Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis
Introduction: For decades, conventional karyotyping analysis has been the gold standard for detecting chromosomal abnormalities during prenatal diagnosis. With the development of molecular cytogenetic methods, this situation has dramatically changed. Chromosomal microarray analysis (CMA), a method o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360565/ https://www.ncbi.nlm.nih.gov/pubmed/35957681 http://dx.doi.org/10.3389/fgene.2022.938183 |
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author | Liu, Xijing Liu, Shanling Wang, He Hu, Ting |
author_facet | Liu, Xijing Liu, Shanling Wang, He Hu, Ting |
author_sort | Liu, Xijing |
collection | PubMed |
description | Introduction: For decades, conventional karyotyping analysis has been the gold standard for detecting chromosomal abnormalities during prenatal diagnosis. With the development of molecular cytogenetic methods, this situation has dramatically changed. Chromosomal microarray analysis (CMA), a method of genome-wide detection with high resolution, has been recommended as a first-tier test for prenatal diagnosis, especially for fetuses with structural abnormalities. Methods: Based on the primary literature, this review provides an updated summary of the application of CMA for prenatal diagnosis. In addition, this review addresses the challenges that CMA faces with the emergence of genome sequencing techniques, such as copy number variation sequencing, genome-wide cell-free DNA testing, and whole exome sequencing. Conclusion: The CMA platform is still suggested as priority testing methodology in the prenatal setting currently. However, pregnant women may benefit from genome sequencing, which enables the simultaneous detection of copy number variations, regions of homozygosity and single-nucleotide variations, in near future. |
format | Online Article Text |
id | pubmed-9360565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93605652022-08-10 Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis Liu, Xijing Liu, Shanling Wang, He Hu, Ting Front Genet Genetics Introduction: For decades, conventional karyotyping analysis has been the gold standard for detecting chromosomal abnormalities during prenatal diagnosis. With the development of molecular cytogenetic methods, this situation has dramatically changed. Chromosomal microarray analysis (CMA), a method of genome-wide detection with high resolution, has been recommended as a first-tier test for prenatal diagnosis, especially for fetuses with structural abnormalities. Methods: Based on the primary literature, this review provides an updated summary of the application of CMA for prenatal diagnosis. In addition, this review addresses the challenges that CMA faces with the emergence of genome sequencing techniques, such as copy number variation sequencing, genome-wide cell-free DNA testing, and whole exome sequencing. Conclusion: The CMA platform is still suggested as priority testing methodology in the prenatal setting currently. However, pregnant women may benefit from genome sequencing, which enables the simultaneous detection of copy number variations, regions of homozygosity and single-nucleotide variations, in near future. Frontiers Media S.A. 2022-07-26 /pmc/articles/PMC9360565/ /pubmed/35957681 http://dx.doi.org/10.3389/fgene.2022.938183 Text en Copyright © 2022 Liu, Liu, Wang and Hu. 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 Liu, Xijing Liu, Shanling Wang, He Hu, Ting Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
title | Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
title_full | Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
title_fullStr | Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
title_full_unstemmed | Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
title_short | Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
title_sort | potentials and challenges of chromosomal microarray analysis in prenatal diagnosis |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360565/ https://www.ncbi.nlm.nih.gov/pubmed/35957681 http://dx.doi.org/10.3389/fgene.2022.938183 |
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