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Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage
INTRODUCTION: The single most common cause of miscarriage is genetic abnormality. OBJECTIVE: We conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single n...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139896/ https://www.ncbi.nlm.nih.gov/pubmed/33792848 http://dx.doi.org/10.1007/s40291-021-00523-9 |
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author | Lee, Jong-Mi Shin, So Young Kim, Guk Won Kim, Woo Jeng Wie, Jeong Ha Hong, Subeen Kang, Dain Choi, Hayoung Yim, Jisook Kim, Yonggoo Kim, Myungshin Park, In Yang |
author_facet | Lee, Jong-Mi Shin, So Young Kim, Guk Won Kim, Woo Jeng Wie, Jeong Ha Hong, Subeen Kang, Dain Choi, Hayoung Yim, Jisook Kim, Yonggoo Kim, Myungshin Park, In Yang |
author_sort | Lee, Jong-Mi |
collection | PubMed |
description | INTRODUCTION: The single most common cause of miscarriage is genetic abnormality. OBJECTIVE: We conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single nucleotide polymorphism array (SNP-array) to identify genetic abnormalities in miscarriage specimens. METHODS: A total of 63 miscarriage specimens were included. Conventional karyotyping, array-CGH, and SNP-array were performed and the results compared. RESULTS: Genetic abnormalities were detected in 31 cases (49.2%) by at least one testing modality. Single autosomal trisomy was the most common defect (71.0%), followed by polyploidy (16.1%), multiple aneuploidy (9.7%), and monosomy X (3.2%). Mosaicisms were identified in four cases and confirmed by fluorescence in situ hybridization (FISH) using appropriate probes. SNP-array had a higher detection rate of genetic abnormalities than array-CGH (93.5 vs. 77.4%), and conventional karyotyping had the lowest detection rate (76.0%). SNP-array enabled the detection of all types of genetic abnormalities, including polyploidy. CONCLUSIONS: Although conventional karyotyping and FISH are still needed, SNP-array represents the first choice for miscarriage because the technique showed excellent performance in the detection of genetic abnormalities and minimized the probability of testing failure as well as time, costs, and labor. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40291-021-00523-9. |
format | Online Article Text |
id | pubmed-8139896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-81398962021-06-03 Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage Lee, Jong-Mi Shin, So Young Kim, Guk Won Kim, Woo Jeng Wie, Jeong Ha Hong, Subeen Kang, Dain Choi, Hayoung Yim, Jisook Kim, Yonggoo Kim, Myungshin Park, In Yang Mol Diagn Ther Original Research Article INTRODUCTION: The single most common cause of miscarriage is genetic abnormality. OBJECTIVE: We conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single nucleotide polymorphism array (SNP-array) to identify genetic abnormalities in miscarriage specimens. METHODS: A total of 63 miscarriage specimens were included. Conventional karyotyping, array-CGH, and SNP-array were performed and the results compared. RESULTS: Genetic abnormalities were detected in 31 cases (49.2%) by at least one testing modality. Single autosomal trisomy was the most common defect (71.0%), followed by polyploidy (16.1%), multiple aneuploidy (9.7%), and monosomy X (3.2%). Mosaicisms were identified in four cases and confirmed by fluorescence in situ hybridization (FISH) using appropriate probes. SNP-array had a higher detection rate of genetic abnormalities than array-CGH (93.5 vs. 77.4%), and conventional karyotyping had the lowest detection rate (76.0%). SNP-array enabled the detection of all types of genetic abnormalities, including polyploidy. CONCLUSIONS: Although conventional karyotyping and FISH are still needed, SNP-array represents the first choice for miscarriage because the technique showed excellent performance in the detection of genetic abnormalities and minimized the probability of testing failure as well as time, costs, and labor. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40291-021-00523-9. Springer International Publishing 2021-04-01 2021 /pmc/articles/PMC8139896/ /pubmed/33792848 http://dx.doi.org/10.1007/s40291-021-00523-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Lee, Jong-Mi Shin, So Young Kim, Guk Won Kim, Woo Jeng Wie, Jeong Ha Hong, Subeen Kang, Dain Choi, Hayoung Yim, Jisook Kim, Yonggoo Kim, Myungshin Park, In Yang Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage |
title | Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage |
title_full | Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage |
title_fullStr | Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage |
title_full_unstemmed | Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage |
title_short | Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage |
title_sort | optimizing the diagnostic strategy to identify genetic abnormalities in miscarriage |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139896/ https://www.ncbi.nlm.nih.gov/pubmed/33792848 http://dx.doi.org/10.1007/s40291-021-00523-9 |
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