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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
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.
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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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