Objective: To investigate the correlation between maternal age and pathogenic copy number variations (pCNVs) in prenatal diagnosis. Method: This is a retrospective study, from 2009.6 to 2022.4, thirty-five thousand and seventeen invasive procedures have been performed due to high risk of down syndrome screening, advanced maternal age, ultrasound structural defects and so on. All the pregnant information, clinical indications and outcome of prenatal diagnosis were recorded in our prenatal database. The correlation between maternal age and chromosomal abnormalities/pathogenic copy number variations was analyzed by binary logistics regression. Results: In 35017 prenatal samples, karyotyping was performed in 34676 cases, which showed chromosomal abnormalities in 2704 cases (7.80%, 2704/34676). CMA was performed in 5041 cases, which showed chromosomal abnormalities in 646 cases (12.81%, 646/5041) including 233 pathogenic copy number variations (4.96%, 233/4700). The detection rate of CMA was significantly higher than that of karyotyping (P=0.000, X2=143.437). In this study, karyotyping and CMA were both performed in 4700 cases, which showed a 4.36% (205/4700) increase in chromosomal abnormalities detected by CMA compared with karyotyping. By regression analysis, the incidence of chromosomal abnormalities increased significantly with the increase of the maternal age (P=0.000; Exp (B)=1.055; CI 95% 1.048-1.062). However, the proportion of pCNVs decreased greatly (P=0.000; Exp (B)=0.947; CI 95% 0.921-0.974). Conclusion: The detection rate of CMA was higher than traditional karyotype analysis in prenatal diagnosis. There was a significant correlation between maternal age and chromosomal abnormalities, but the incidence of pathogenic copy number variations did not increase with the increase of the maternal age.
Published in | Biomedical Statistics and Informatics (Volume 8, Issue 3) |
DOI | 10.11648/j.bsi.20230803.12 |
Page(s) | 42-47 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Prenatal Diagnosis, Maternal Age, Chromosomal Abnormalities, Pathogenic Copy Number Variations
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APA Style
Huang Shun-ting, Yuan Si-min, Zhong Hui-zhu, Yi Cui-xing, Li Ru, et al. (2023). Correlation Analysis Between Maternal Age and Pathogenic Copy Number Variations in Prenatal Diagnosis. Biomedical Statistics and Informatics, 8(3), 42-47. https://doi.org/10.11648/j.bsi.20230803.12
ACS Style
Huang Shun-ting; Yuan Si-min; Zhong Hui-zhu; Yi Cui-xing; Li Ru, et al. Correlation Analysis Between Maternal Age and Pathogenic Copy Number Variations in Prenatal Diagnosis. Biomed. Stat. Inform. 2023, 8(3), 42-47. doi: 10.11648/j.bsi.20230803.12
AMA Style
Huang Shun-ting, Yuan Si-min, Zhong Hui-zhu, Yi Cui-xing, Li Ru, et al. Correlation Analysis Between Maternal Age and Pathogenic Copy Number Variations in Prenatal Diagnosis. Biomed Stat Inform. 2023;8(3):42-47. doi: 10.11648/j.bsi.20230803.12
@article{10.11648/j.bsi.20230803.12, author = {Huang Shun-ting and Yuan Si-min and Zhong Hui-zhu and Yi Cui-xing and Li Ru and Zhang Yong-ling and Fu Fang and Zhou Hang and Yang Xin}, title = {Correlation Analysis Between Maternal Age and Pathogenic Copy Number Variations in Prenatal Diagnosis}, journal = {Biomedical Statistics and Informatics}, volume = {8}, number = {3}, pages = {42-47}, doi = {10.11648/j.bsi.20230803.12}, url = {https://doi.org/10.11648/j.bsi.20230803.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20230803.12}, abstract = {Objective: To investigate the correlation between maternal age and pathogenic copy number variations (pCNVs) in prenatal diagnosis. Method: This is a retrospective study, from 2009.6 to 2022.4, thirty-five thousand and seventeen invasive procedures have been performed due to high risk of down syndrome screening, advanced maternal age, ultrasound structural defects and so on. All the pregnant information, clinical indications and outcome of prenatal diagnosis were recorded in our prenatal database. The correlation between maternal age and chromosomal abnormalities/pathogenic copy number variations was analyzed by binary logistics regression. Results: In 35017 prenatal samples, karyotyping was performed in 34676 cases, which showed chromosomal abnormalities in 2704 cases (7.80%, 2704/34676). CMA was performed in 5041 cases, which showed chromosomal abnormalities in 646 cases (12.81%, 646/5041) including 233 pathogenic copy number variations (4.96%, 233/4700). The detection rate of CMA was significantly higher than that of karyotyping (P=0.000, X2=143.437). In this study, karyotyping and CMA were both performed in 4700 cases, which showed a 4.36% (205/4700) increase in chromosomal abnormalities detected by CMA compared with karyotyping. By regression analysis, the incidence of chromosomal abnormalities increased significantly with the increase of the maternal age (P=0.000; Exp (B)=1.055; CI 95% 1.048-1.062). However, the proportion of pCNVs decreased greatly (P=0.000; Exp (B)=0.947; CI 95% 0.921-0.974). Conclusion: The detection rate of CMA was higher than traditional karyotype analysis in prenatal diagnosis. There was a significant correlation between maternal age and chromosomal abnormalities, but the incidence of pathogenic copy number variations did not increase with the increase of the maternal age.}, year = {2023} }
TY - JOUR T1 - Correlation Analysis Between Maternal Age and Pathogenic Copy Number Variations in Prenatal Diagnosis AU - Huang Shun-ting AU - Yuan Si-min AU - Zhong Hui-zhu AU - Yi Cui-xing AU - Li Ru AU - Zhang Yong-ling AU - Fu Fang AU - Zhou Hang AU - Yang Xin Y1 - 2023/09/25 PY - 2023 N1 - https://doi.org/10.11648/j.bsi.20230803.12 DO - 10.11648/j.bsi.20230803.12 T2 - Biomedical Statistics and Informatics JF - Biomedical Statistics and Informatics JO - Biomedical Statistics and Informatics SP - 42 EP - 47 PB - Science Publishing Group SN - 2578-8728 UR - https://doi.org/10.11648/j.bsi.20230803.12 AB - Objective: To investigate the correlation between maternal age and pathogenic copy number variations (pCNVs) in prenatal diagnosis. Method: This is a retrospective study, from 2009.6 to 2022.4, thirty-five thousand and seventeen invasive procedures have been performed due to high risk of down syndrome screening, advanced maternal age, ultrasound structural defects and so on. All the pregnant information, clinical indications and outcome of prenatal diagnosis were recorded in our prenatal database. The correlation between maternal age and chromosomal abnormalities/pathogenic copy number variations was analyzed by binary logistics regression. Results: In 35017 prenatal samples, karyotyping was performed in 34676 cases, which showed chromosomal abnormalities in 2704 cases (7.80%, 2704/34676). CMA was performed in 5041 cases, which showed chromosomal abnormalities in 646 cases (12.81%, 646/5041) including 233 pathogenic copy number variations (4.96%, 233/4700). The detection rate of CMA was significantly higher than that of karyotyping (P=0.000, X2=143.437). In this study, karyotyping and CMA were both performed in 4700 cases, which showed a 4.36% (205/4700) increase in chromosomal abnormalities detected by CMA compared with karyotyping. By regression analysis, the incidence of chromosomal abnormalities increased significantly with the increase of the maternal age (P=0.000; Exp (B)=1.055; CI 95% 1.048-1.062). However, the proportion of pCNVs decreased greatly (P=0.000; Exp (B)=0.947; CI 95% 0.921-0.974). Conclusion: The detection rate of CMA was higher than traditional karyotype analysis in prenatal diagnosis. There was a significant correlation between maternal age and chromosomal abnormalities, but the incidence of pathogenic copy number variations did not increase with the increase of the maternal age. VL - 8 IS - 3 ER -