Role of echocardiography in assessing copy number variation in fetal congenital heart disease
10.3760/cma.j.cn113903-20230913-00195
- VernacularTitle:超声心动图评估胎儿先天性心脏病拷贝数变异的作用
- Author:
Caihong LIU
1
;
Guorong LYU
;
Qianmei ZHUANG
;
Yu'e CHEN
;
Weiru LIN
Author Information
1. 泉州市妇幼保健院儿童医院超声医学科，泉州 362000
- Keywords:
Heart defects, congenital;
Echocardiography;
DNA copy number variations;
Microarray analysis
- From:
Chinese Journal of Perinatal Medicine
2024;27(2):143-147
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study examines the application of echocardiography in the prenatal diagnosis of copy number variation (CNV) associated with fetal congenital heart disease (CHD).Methods:A retrospective analysis was conducted on 447 singleton pregnancies from Quanzhou Maternal and Child Care Hospital (Quanzhou Children's Hospital) from January 2019 to August 2022. These individuals underwent echocardiographic assessments suggestive of fetal CHD and subsequently received invasive prenatal diagnoses. Comprehensive karyotype analysis and chromosome microarray analysis (CMA) were performed for each case. The discrepancies in the chromosomal abnormality detection were analyzed between the results produced by CMA and karyotype analysis. Furthermore, differences in the detection of pathogenic copy number variation (pCNV) between the two methods in CHD cases with diverse cardiac phenotypes, including the presence or absence of extracardiac structural malformations, the type, and quantity of cardiac structural anomalies, were explored. Statistical analysis was conducted using the Chi-square test. Results:Compared with conventional karyotype analysis, CMA demonstrated a higher detection rate of fetal chromosomal abnormalities [10.5% (47/447) vs. 20.6% (92/447), χ 2=161.56, P<0.001]. In terms of distinct cardiac phenotypes, CHD cases with extracardiac structural anomalies displayed an escalated pCNV detection rate in comparison to isolated CHD cases [11.4% (45/394) vs. 32.1% (17/53), χ 2=16.68, P<0.001]. Within the cardiac structural anomaly subgroups, increased pCNV detection rates were observed in the septal defect subgroup, conotruncal malformation subgroup, and left ventricular malformation subgroup [18.4%(29/158), 25.9%(7/27), and 25.0%(7/28) vs. 7.6%(16/210); χ 2=9.15, 9.68, and 8.55, respectively, all P<0.05]. The CMA-identified pCNV correlated with CHD included 22q11.2 deletions/duplications in eight cases, 4p16.3 deletions in two cases, 11q23.3 microduplications in two cases, 1q21.1 microdeletions/microduplications in two cases, 4q28.3 microduplications in one case, and 10p15.3 microdeletions in one case. Conclusions:CMA technology exhibited an enhanced ability to detect pCNV in fetuses with CHD. Echocardiography can guide targeted CMA screening, thereby facilitating prenatal genetic assessment of CHD.
