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Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis

BACKGROUND: The present study aimed to explore the etiological relationship between miscarriage and stillbirth and copy number variations (CNVs), as well as provide useful genetic guidance for high‐risk pregnancy. METHODS: In total, 659 fetal samples were recruited and subjected to DNA extraction an...

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Autores principales: Zhang, Xia, Huang, Qingyan, Yu, Zhikang, Wu, Heming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285438/
https://www.ncbi.nlm.nih.gov/pubmed/34342101
http://dx.doi.org/10.1002/jgm.3383
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author Zhang, Xia
Huang, Qingyan
Yu, Zhikang
Wu, Heming
author_facet Zhang, Xia
Huang, Qingyan
Yu, Zhikang
Wu, Heming
author_sort Zhang, Xia
collection PubMed
description BACKGROUND: The present study aimed to explore the etiological relationship between miscarriage and stillbirth and copy number variations (CNVs), as well as provide useful genetic guidance for high‐risk pregnancy. METHODS: In total, 659 fetal samples were recruited and subjected to DNA extraction and CNV sequencing (CNV‐seq), relevant medical records were collected. RESULTS: There were 322 cases (48.86%) with chromosomal abnormalities, including 230 with numerical abnormalities and 92 with structural abnormalities. Chromosomal monosomy variations mainly occurred on sex chromosomes and trisomy variations mainly occurred on chromosomes 16, 22, 21, 18, 13 and 15. In total, 41 pathogenic CNVs (23 microdeletions and 18 microduplications) were detected in 27 fetal tissues. The rates of numerical chromosomal abnormalities were 29.30% (109/372), 32.39% (57/176) and 57.66% (64/111) in < 30‐year‐old, 30–34‐year‐old and ≥ 35‐year‐old age pregnant women, respectively, and increased with an increasing age (p < 0.001). There was statistically significant difference (χ(2) = 7.595, p = 0.022) in the rates of structural chromosomal abnormalities in these groups (13.71%, 18.75% and 7.21%, respectively). The rates of numerical chromosomal abnormalities were 45.44% (219/482), 7.80% (11/141) and 0% (0/36) in the ≤ 13 gestational weeks, 14–27 weeks and ≥ 28 weeks groups, respectively, and decreased with respect to the increasing gestational age of the fetuses (p < 0.001). CONCLUSIONS: The present study has obtained useful and accurate genetic etiology information that will provide useful genetic guidance for high‐risk pregnancies.
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spelling pubmed-92854382022-07-18 Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis Zhang, Xia Huang, Qingyan Yu, Zhikang Wu, Heming J Gene Med Research Articles BACKGROUND: The present study aimed to explore the etiological relationship between miscarriage and stillbirth and copy number variations (CNVs), as well as provide useful genetic guidance for high‐risk pregnancy. METHODS: In total, 659 fetal samples were recruited and subjected to DNA extraction and CNV sequencing (CNV‐seq), relevant medical records were collected. RESULTS: There were 322 cases (48.86%) with chromosomal abnormalities, including 230 with numerical abnormalities and 92 with structural abnormalities. Chromosomal monosomy variations mainly occurred on sex chromosomes and trisomy variations mainly occurred on chromosomes 16, 22, 21, 18, 13 and 15. In total, 41 pathogenic CNVs (23 microdeletions and 18 microduplications) were detected in 27 fetal tissues. The rates of numerical chromosomal abnormalities were 29.30% (109/372), 32.39% (57/176) and 57.66% (64/111) in < 30‐year‐old, 30–34‐year‐old and ≥ 35‐year‐old age pregnant women, respectively, and increased with an increasing age (p < 0.001). There was statistically significant difference (χ(2) = 7.595, p = 0.022) in the rates of structural chromosomal abnormalities in these groups (13.71%, 18.75% and 7.21%, respectively). The rates of numerical chromosomal abnormalities were 45.44% (219/482), 7.80% (11/141) and 0% (0/36) in the ≤ 13 gestational weeks, 14–27 weeks and ≥ 28 weeks groups, respectively, and decreased with respect to the increasing gestational age of the fetuses (p < 0.001). CONCLUSIONS: The present study has obtained useful and accurate genetic etiology information that will provide useful genetic guidance for high‐risk pregnancies. John Wiley and Sons Inc. 2021-08-20 2021-12 /pmc/articles/PMC9285438/ /pubmed/34342101 http://dx.doi.org/10.1002/jgm.3383 Text en © 2021 The Authors. The Journal of Gene Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Zhang, Xia
Huang, Qingyan
Yu, Zhikang
Wu, Heming
Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
title Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
title_full Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
title_fullStr Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
title_full_unstemmed Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
title_short Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
title_sort copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next‐generation sequencing analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285438/
https://www.ncbi.nlm.nih.gov/pubmed/34342101
http://dx.doi.org/10.1002/jgm.3383
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AT yuzhikang copynumbervariationcharacterizationandpossiblecandidategenesinmiscarriageandstillbirthbynextgenerationsequencinganalysis
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