Faculty Opinions recommendation of Additional information from chromosomal microarray analysis (CMA) over conventional karyotyping when diagnosing chromosomal abnormalities in miscarriage: a systematic review and meta-analysis.

Author(s):  
Ignatia Van den Veyver
2019 ◽  
Vol 53 (5) ◽  
pp. 590-597 ◽  
Author(s):  
R. J. Martinez‐Portilla ◽  
M. Pauta ◽  
A. Hawkins‐Villarreal ◽  
M. Rial‐Crestelo ◽  
F. Paz y Miño ◽  
...  

2020 ◽  
Author(s):  
Hailong Huang ◽  
Yan Wang ◽  
Min Zhang ◽  
Na Lin ◽  
Gang An ◽  
...  

Abstract Background Chromosomal microarray analysis (CMA) has emerged as a primary diagnostic tool for the evaluation of developmental delay and structural malformations in children. The aim of this study was to compare the accuracy and diagnostic value of CMA and karyotyping on chromosomal abnormalities in Fujian province of South China. Methods In the study, 410 samples were obtained from pregnant women between March 2015 and December 2016, including 3 villus (0.73%, 3/410), 296 amniotic fluid (72.20%, 296/410), and 111 umbilical cord blood (27.07%, 111/410). Each sample was screening for chromosomal abnormalities by both using CMA and karyotyping. Results The success rates of CMA and karyotyping were 100% (410/410) and 99.27% (407/410), respectively. 61 (14.88%, 61/410) samples were presented with chromosomal abnormalities using CMA, whereas 47 (11.46%, 47/410) samples were shown with chromosomal abnormalities using karyotyping. 31 (7.56%, 31/410) samples with normal karyotypes were found to have chromosomal abnormalities using CMA. Receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) of CMA on the diagnosis of chromosomal abnormalities was 0.93, with 90.68% sensitivity and 94.40% specificity. The AUC of karyotyping on the diagnosis of chromosomal abnormalities was 0.90, with 87.56% sensitivity and 91.22% specificity. Conclusions Our data demonstrated that CMA has a better diagnostic value for screening chromosomal abnormalities, especially for pregnant women with normal karyotypes.


2021 ◽  
Vol 9 ◽  
Author(s):  
Yu'e Chen ◽  
Yingjun Xie ◽  
Yuying Jiang ◽  
Qi Luo ◽  
Lijing Shi ◽  
...  

Background: An increase in pathogenic copy number variants (pCNVs) has been recognized to associate with fetal growth restriction (FGR). Here, we aim to explore the application value of chromosomal microarray analysis (CMA) in prenatal diagnosis of FGR.Methods: Prenatal ultrasound was applied to identify FGR. A total of 149 pregnant women with FGR were enrolled in our study. All subjects underwent karyotype analysis and CMA to reveal the chromosomal abnormalities.Results: In this study, all subjects were successfully detected by karyotype and CMA analyses. Of these subjects, the chromosomal abnormalities detection rate was 5.37% (8/149) for karyotyping and 13.42% (20/149) for CMA, respectively. Among them, an 8.05% (12/149) incremental yield of CMA over karyotype analysis was observed (p = 0.004). In addition, a significant difference of pCNV detection rate was observed between the groups with different high-risk factors (p = 0.005). The FGR with structural anomalies group showed the highest pCNV detection rate (33.33%), followed by the FGR with non-structural anomalies group (8.77%) and the isolated FGR group (8.06%).Conclusion: In conclusion, CMA technology showed an effective application value in etiology diagnosis of FGR. We believe that CMA should be recommended as first-line detection technology for prenatal diagnosis in FGR.


2020 ◽  
Author(s):  
Chenyang Xu ◽  
Yanbao Xiang ◽  
Xueqin Xu ◽  
Lili Zhou ◽  
Huanzheng Li ◽  
...  

Abstract Background This study aimed to evaluate the applicability of chromosomal microarray analysis (CMA) for prenatal diagnosis of craniofacial malformations (CFMs). We also investigated the potential correlations between chromosomal abnormalities and CFMs. To this end, 118 fetuses with CFMs were enrolled in the study and underwent both G-banded chromosome analysis and CMA. Results Of the 118 cases in this study, 39.8% were isolated CFMs (47/118) whereas 60.2% were non-isolated CFMs (71/118). The detection rate of chromosomal abnormalities or submicroscopic chromosomal abnormalities in non-isolated CFM fetuses was significantly higher than that in isolated CFM fetuses (26/71 vs. 7/47, p = 0.01). Compared to the 16 fetuses (16/104; 15.4%) with pathogenic chromosomal abnormalities detected by karyotype analysis, CMA identified a total of 33 fetuses (33/118; 28.0%) with clinically significant findings. These 33 fetuses included cases with aneuploidy abnormalities (14/118; 11.9%), microdeletion/microduplication syndromes (9/118; 7.6%), and other pathogenic CNVs only (10/118; 8.5%). We further explored the CNV/phenotype correlation and found a series of clear or suspected dosage-sensitive CFM genes. Conclusion CMA is a rapid and reliable molecular technique to identify fetal chromosomal aberrations associated with CFMs. Identification of the genetic basis of CFMs contributes to the understanding of their pathogenesis and etiology.


Author(s):  
Ю.К. Киевская ◽  
И.В. Канивец ◽  
Д.В. Пьянков

Микроделеционные и микродупликационные синдромы выявляются примерно у 8% плодов с врожденными пороками развития (ВПР), однако диагностика патогенных CNVs в пренатальном периоде в данный момент не регламентирована и зачастую основана на технических возможностях лаборатории. Представлены результаты исследования плодов, которые имели ВПР и/или маркеры хромосомной патологии, установленные по УЗИ, методом хромосомного микроматричного анализа (ХМА). В выборке (N=1048) у 10,3% плодов были обнаружены числовые аномалии хромосом и у 7,4% плодов были выявлены патогенные хромосомные аномалии, которые невозможно выявить при стандартном кариотипировани из-за их малого размера. Результаты нашего анализа согласуются с данными литературы, демонстрирующей большую эффективность SNP-микроматриц по сравнению с классическими цитогенетическими методами. Microdeletion and microduplication syndromes are detected in approximately 8% of fetuses with congenital malformations, however, the diagnosis of pathogenic CNVs in the prenatal period, at the moment, is unregulated and often based on the technical capabilities of the laboratory. The thesis presents the result of a study of fetuses that had congenital malformations and / or markers of chromosomal abnormalities, determined by ultrasound, by the method of chromosomal microarray analysis. Using chromosomal microarray analysis in our sample (N = 1048), numerical chromosome abnormalities were detected in 10.3% of the fetuses and pathogenic chromosome imbalance was revealed in 7.4% of the fetuses, which cannot be detected by standard karyotyping. The results of our analysis are consistent with the data of the scientific literature, which demonstrates the greater efficiency of using SNP microarrays in comparison with classical cytogenetic methods.


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