Evidence map›Paper›PMID 40636930›Full record

ArticleFrontiers in genetics2025

Application of chromosome microarray analysis and karyotyping in fetal cardiac abnormalities.

Yun Guo, Xiaoqin Xin, Linju Zhou, Jungao Huang

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Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yun Guo *Department of Medical, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Xiaoqin Xin *Department of Clinical Laboratory, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Linju ZhouDepartment of Medical Genetic, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Jungao HuangDepartment of Medical Genetic, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Chromosome microarray analysis (CMA) and karyotyping are two important genetic testing techniques used in prenatal diagnosis. This study aims to evaluate the value of chromosome microarray analysis and karyotyping in the diagnosis of fetal cardiac abnormalities, with particular focus on the detection of genomic copy number variations (CNVs). Methods: A retrospective analysis was conducted on 98 pregnant women diagnosed with fetal cardiac abnormalities through ultrasound between January 2022 and June 2024. Amniotic fluid samples from all participants were subjected to the analysis of karyotyping and Chromosome microarray analysis. The detection rates of both techniques in different types of fetal cardiac abnormalities were compared, and the outcomes of positive cases were followed up. Results: Of the 98 fetuses with cardiac abnormalities, 12 cases showed abnormal genetic results, with a detection rate of 12.24%. Karyotyping identified 5 cases of abnormalities (5.10%), while the chromosome microarray analysis detected 11 cases (11.22%). In the group with isolated cardiac abnormalities (76 cases) and the group with cardiac abnormalities combined with other ultrasound abnormalities (22 cases), karyotyping detected 3.95% (3/76) and 9.09% (2/22) of abnormalities, with no significant statistical difference (P > 0.05). Chromosome microarray analysis detected abnormalities in 6.58% (5/76) of the isolated cardiac abnormalities group and 27.27% (6/22) in the group with combined abnormalities, showing a significant statistical difference (P < 0.05). Of the 12 positive cases, four were live births, eight were terminations, and Conclusion: Chromosome microarray analysis has a higher detection rate in fetuses with cardiac abnormalities than traditional chromosome karyotyping, especially when fetal cardiac abnormalities are combined with other ultrasound abnormalities. It is recommended for clinical use to improve the detection of genetic alterations.

Indexed as

chromosome microarray analysiscopy number variation (CNV)fetal cardiac abnormalitieskaryotypingultrasound abnormalities

Identifiers

PMID40636930
PMCPMC12237624

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