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Assessment of Combined Karyotype Analysis and Chromosome Microarray Analysis in Prenatal Diagnosis: A Cohort Study of 3710 Pregnancies

Published online by Cambridge University Press:  01 January 2024

Jin Wang
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Danni Wang
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Yan Yin
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Yi Deng
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Mengling Ye
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Ping Wei
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Zhuo Zhang
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Chun Chen*
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Shengfang Qin*
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Xueyan Wang*
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
Kanhaiya Singh
Affiliation:
Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu 610003, China
*
Correspondence should be addressed to Chun Chen; chch2007@126.com
Shengfang Qin; qinshengfang@126.com
Xueyan Wang; wanxueyang@163.com
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Abstract

Objective. The current study aimed to compare the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping, chromosome microarray analysis (CMA), or fluorescence in situ hybridization (FISH)/CNVplex analysis and further explore the application value of combined karyotype analysis and CMA in prenatal diagnosis with a larger sample size. Methods. From March 2019 to March 2021, 3710 amniocentesis samples were retrospectively collected from women who accepted prenatal diagnosis at 16 to 22 + 6 weeks of pregnancy. The pregnant women underwent karyotype analysis and CMA. In the case of fetal chromosomal mosaicism, FISH or CNVplex analysis was utilized for validation. Results. In total, 3710 G-banding karyotype results and CMA results from invasive prenatal diagnosis were collected. Of these, 201 (5.41%) fetuses with an abnormal karyotype were observed. The CMA analysis showed that the abnormality rate was 9.14% (340/3710). The detection rate of CMA combined with karyotype analysis was 0.35% higher than that of CMA alone and 4.08% higher than that of karyotyping alone. Additionally, 12 cases had abnormal karyotype analysis, despite normal CMA results. To further detect the chromosome mosaicism, we used FISH analysis to correct the karyotype results of case 1. Correspondingly, a total of 157 cases showed abnormal CMA results but normal karyotype analysis. We also found chromosomal mosaicism in 4 cases using CMA. Moreover, CNVplex and CMA demonstrated that representative case 15 was mosaicism for trisomy 2. Conclusions. Conventional G-banding karyotyping and CMA have their own advantages and limitations. A combination of karyotype analysis and CMA can increase the detection rate of chromosome abnormalities and make up for the limitation of signal detection.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © 2022 Jin Wang et al.

1. Introduction

A birth defect is a developmental abnormality that occurs during pregnancy. When an ultrasound examination indicates anomalies, further diagnosis using chromosome analysis will be conducted [Reference Steele and Roy Breg1]. Since the mid-1960’s, G-band chromosomal karyotyping has been widely used for testing genetic abnormalities in clinical practice because it shows clear chromosome bands, can be distinguished under an ordinary microscope, the specimen can be stored for a long time, etc. However, this approach has several limitations, such as a long detection period and low resolution [Reference Poletti, Zappelli, Ruggeri and Grisan2]. With the improvement of diagnostic methods, chromosome microarray analysis (CMA) is emerging to identify small microdeletions and duplications, which is helpful to understand disease-related copy number variations (CNVs) [Reference Martin, Kirkpatrick and Ledbetter3]. Additionally, previous studies have further demonstrated that CMA is superior to conventional karyotyping analysis [Reference Dhillon, Hillman and Morris4] and can be deemed a first-line test in pregnancies with a priori low risk [Reference Fiorentino, Napoletano and Caiazzo5]. In clinical settings, the combination of conventional karyotype analysis and CMA is often used for prenatal diagnosis.

Based on the clinical use of two methods, a previous study demonstrated that differences between the two methods may lead to different results in the diagnosis of aneuploid chromosomes [Reference Hao, Li, Zhang, Li, Liu and Yu6]. According to statistics, approximately 32% of fetuses with structural abnormalities have a clinically relevant abnormal karyotype, and an additional 6% have causative CNVs [Reference Wapner, Martin and Levy7]. Therefore, it is necessary to evaluate more comprehensively the difference between karyotyping analysis and CMA and the combination of these two methods in the diagnosis of fetuses with structural abnormalities. Here, we explored the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping and CMA in fetus cases and further compared the detecting results in a larger sample size using different testing techniques. Additionally, fluorescence in situ hybridization (FISH) analysis or CNVplex analysis was conducted to evaluate chromosome mosaicism. Those findings showed that the combination of conventional karyotyping analysis and CMA identified the additional, clinically significant cytogenetic information, indicating the value of the combination of the two methods.

2. Materials and Methods

2.1. Patients

In total, 3710 amniocentesis samples were retrospectively collected from women at 16 to 22+6 weeks of pregnancy in our hospital. All pregnant women underwent karyotype analysis and CMA. The inclusion criteria were as follows: (1) high-risk results from serological screening; (2) high-risk results from noninvasive DNA prenatal screening, including trisomy 21, 13, 18, and other chromosome abnormalities; (3) advanced age (over 35 years); (4) high-risk results from ultrasound genetic marker screening (NT > 95th, nasal bone dysplasia, mild expansion of the lateral ventricle); (5) fetus abnormalities, including fetal intrauterine growth restriction and abnormal fetal structure. Written consent was obtained from each pregnant woman. The study was approved by the Ethics Committee of our hospital.

2.2. Karyotype Analysis

Amniotic fluid (20 mL) was collected from pregnant women at 16 to 22+6 weeks. Samples were cultured according to standard cytogenetic protocols [Reference Bates8]. Giemsa-banding staining was utilized to analyze the cultured amniocytes, and then karyotype analysis was conducted.

2.3. CMA

DNA from amniotic fluid cells was extracted by the Puregene Cell and Tissue Kit (QIAGEN, Beijing, China). Following, the Goldeneye DNA ID System 20A (Peoplespot, Beijing, China) was used for maternal cell contamination (MCC) identification. For CMA testing in MCC-free samples, a well-established customized 180 k CGX™ SNP v1.1 chip (Agilent Technologies, Santa Clara, CA, USA) was employed. The data were analyzed using Genoglyphix software (PerkinElmer, Waltham, MA, USA).

2.4. Fluorescence in Situ Hybridization (FISH) Analysis of Chromosome Mosaicism

An amniotic fluid sample was centrifuged for 10 min to obtain the cell precipitate. CSP18/CSPX/CSPY probes (Jinpujia Company, Beijing, China) were used for FISH detection of cultured amniotic fluid cells [Reference Wei, Li and Zeng9]. The fluorescence signal was detected and then calculated the chimeric ratio. At the same time, fluorescence image acquisition of metaphase cells with abnormal signals was carried out.

2.5. CNVplex Analysis of Chromosome Mosaicism

CNVplex, a high-throughput analysis (Genesky, Shanghai, China), mainly includes hybridization, ligation, and multiplex PCR amplification. The product was amplified by AB 3500Dx Analyzer capillary electrophoresis, and the data was analyzed by GeneMapper software, referring to the manufacturer’s instructions.

3. Results

In total, 3710 pregnant women underwent amniocentesis to obtain amniotic fluid for karyotype analysis, and CMA was collected. The flow chart for the disease diagnosis is shown in Figure 1. Of these, 201 (5.41%) pregnant women with fetal karyotype abnormal results were detected. CMA analysis showed that the abnormality rate was 9.14% (340/3710), and CNVs and loss of heterozygosity (>10 Mb) accounted for 339 cases (9.13%). Additionally, karyotype analysis and CMA analysis abnormalities were found in 352 pregnant women (9.49%) (Table 1).

FIGURE 1: The flow chart of the disease diagnosis.

TABLE 1: Diagnostic yields in 3710 prenatal samples by karyotype analysis and CMA.

3.1. Comparison of Karyotype Results in Abnormality Group and CMA Results in Normality Group

As shown in Table 2, 12 cases had abnormal karyotype analyses but normal CMA results. Among them, 6 cases involved two or more chromosomal translocations, and 5 cases had a low proportion of mosaicism. Especially, 1 case was 45, X, [73]/46, X, +mar [Reference Shi, Ma, Xue, Wang, Yu and Wang10] (Figure 2). After the elimination of sample errors and maternal contamination, FISH indicated that the mar chromosome was the fusion of two Y chromosomes, similar to the dose of 47, XYY. Before culture, FISH results depicted that the signals of X and XYY were approximately equal, indicating the normal male; however, after culture, the signals of X and XYY were 71% and 29%, indicating that 45, X cells grew with selective dominance (Figure 3). Thus, combined with FISH results, karyotype results were modified to 45, X, [73]/46, X, psu dic(Y) (q12) [Reference Shi, Ma, Xue, Wang, Yu and Wang10].

TABLE 2: Characteristics of prenatal samples with an abnormal karyotype and a normal CMA.

FIGURE 2: The results of G-banding karyotype analysis in case 1 showed the 45, X, [73]/46, X, +mar [Reference Shi, Ma, Xue, Wang, Yu and Wang10].

FIGURE 3: FISH analysis in case 1 was further used to evaluate the chromosome abnormalities.

3.2. Comparison of Karyotype Results in the Normality Group and CMA Results in the Abnormality Group

A total of 157 cases showed abnormal CMA results but normal karyotype analysis. Additionally, we also found that 4 cases were chromosomal mosaicism (Table 3). In brief, the representative CAM results of case 15 represented the mosaic duplication of chromosomes (about 23.7%), indicating mosaicism for trisomy 2 (Figure 4). Correspondingly, CNVplex results showed that the signal of chromosome 2 in case 15 was between 2 and 3 before culture, suggesting mosaic trisomy 2. After culture, the signal of chromosome 2 was approximately equal to 2, suggesting that mosaic trisomy 2 was selective with no growth advantage in vitro (Figure 5).

TABLE 3: Characteristics of prenatal samples with a normal karyotype and an abnormal CMA.

FIGURE 4: CMA results in case 15 indicated mosaicism for trisomy 2.

FIGURE 5: Comparison of CNVplex before and after culture in case 15.

4. Discussion

In China, a growing number of pregnant women are willing to accept additional molecular technology for prenatal diagnosis based on conventional karyotype analysis. Correspondingly, Shi et al. [Reference Shi, Ma, Xue, Wang, Yu and Wang10] have investigated the methods of prenatal diagnosis in the multicenter center and demonstrated that combined karyotype analysis and CMA are commonly used to assess pregnant women with other abnormal indications. Here, we found that conventional karyotype analysis and CMA can identify the cytogenetic differently information, which indicated the significant value of the combination of two methods for prenatal diagnosis.

According to statistics, approximately 6% of fetuses have chromosome abnormalities detected during amniocenteses, and the combined risk of a serious congenital anomaly in a fetus with translocations and inversions was estimated at 6.7% [Reference Warburton11]. In the current study, karyotype abnormal results were detected in 201 (5.41%) of 3710 fetuses, which was similar to the proportion reported previously. Karyotype analysis is the gold standard for detecting chromosome abnormalities, but it is obviously inadequate for diagnosing chromosome mosaicism and estimating chromosome recombination. In 2013, the American College of Obstetrics and Gynecology (ACOG) recommended using CMA instead of traditional karyotype analysis when the fetus has one or more ultrasound abnormalities and requires invasive prenatal diagnosis [Reference ACOG12]. Additionally, similar studies have confirmed that CMA is considered the first-line detection method for prenatal diagnosis [Reference Fiorentino, Napoletano and Caiazzo5, Reference Xia, Yang, Fu, Teng, Lv and Yu13]. Our study found that CMA can detect 3.73% more chromosome abnormalities than karyotype analysis, which is consistent with previous findings [Reference Xia, Yang, Fu, Teng, Lv and Yu13]. However, several disadvantages of CMA have been pointed out. For example, a previous study demonstrated that CMA cannot detect low levels of mosaicism, leading to missed diagnoses [Reference Wang and Ma14]. Other studies have also pointed out that balanced chromosome rearrangement cannot be detected using CMA [Reference Ordulu, Kammin and Brand15, Reference Redin, Brand and Collins16]. On the other side, some chromosomal abnormalities would be missed if CMA was used alone. Briefly, a case diagnosed as Coffin-Lowry syndrome (disruption of CHD7) has normal CMA results but an abnormal karyotype result [Reference Talkowski, Ordulu and Pillalamarri17]. In our study, we also found that 12 cases had abnormal karyotype analysis, despite normal CMA results. Therefore, it is not appropriate for CMA to completely replace karyotyping in prenatal diagnosis, and a combination of the two methods is recommended.

Regarding chromosome mosaicism, FISH or CNVplex analysis was used to further evaluate the results of chromosome abnormalities in the current study. For instance, the karyotype result of case 1 was modified to 45, X, [73]/46, X, psu dic(Y) (q12) [Reference Shi, Ma, Xue, Wang, Yu and Wang10], based on a combination of G-banding and FISH analysis. FISH analysis, especially for the diagnosis of complex chromosome abnormalities, has set up a bridge between chromosome banding technology and molecular genetics [Reference Munné, Weier, Grifo and Cohen18]. Additionally, previous studies have demonstrated that FISH analysis can identify low-level mosaicism [Reference Wiktor and Van Dyke19] and mosaicism for chromosomal rearrangement undetected by molecular cytogenetics [Reference Mary, Loget and Odent20]. Correspondingly, the combination of G-banding and FISH provides an efficient method for prenatal and postnatal chromosomal analysis [Reference Heng, Ye and Yang21]. CNVplex assay, a high-throughput multiplex CNVs analysis method developed by Genesky Biotechnologies, which can not only detect the abnormal number of 24 chromosomes, but also detect the deletion or duplication of the ends of chromosomes [Reference Chen, Liu and Zhang22]. In terms of detection accuracy, CNVplex excludes possible maternal contamination, which decreases the false negative rate, thereby greatly enhancing the reliability of the results [Reference Xue, Zhao, Qiao, Lu, Yu and Wang23]. Importantly, the cost of its approach was relatively low. In our study, the CMA and CNVplex assays suggested the mosaicism for trisomy 2, indicating the value of CNVplex for prenatal diagnosis. Combined with those findings, we believed that FISH or CNVplex can enhance the reliability of prenatal and postnatal chromosomal analysis.

5. Conclusion

Conventional G-banding karyotyping and CMA have their own advantages and limitations (Supplementary Table 1), and it is also inappropriate that CMA completely replace karyotyping in prenatal diagnosis. Combined karyotype analysis and CMA for prenatal diagnosis can increase the reliability of detection. Additionally, FISH or CNVplex analysis was recommended to further evaluate the results when chromosomal mosaicism was detected. Those findings provided a better understanding of the clinically significant genetic variants.

Abbreviations

CMA: Chromosome microarray analysis

FISH: Fluorescence in situ hybridization

CNVs: Copy number variants

MCC: Maternal cell contamination

ACOG: American College of Obstetrics and Gynecology.

Data Availability

All the data generated during this study are included within this article.

Ethical Approval

This study was approved by the Ethics Committee of our hospital, and all methods were carried out in accordance with relevant guidelines and regulations.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Jin Wang and Danni Wang conceptualized and designed the study. Xueyan Wang provided administrative support. Chun Chen, Shengfang Qin, and Xueyan Wang provided the study materials or patients. Collection and assembly of data were done by Danni Wang, Yan Yin, Yi Deng, Mengling Ye, and Ping Wei. Data analysis and interpretation were performed by Jin Wang and Xueyan Wang. All the authors have read and approved the final manuscript.

Acknowledgments

The study was supported by the general project of the Science and Technology Department of Sichuan Province (No. 18YYJC0624).

Supplementary Materials

Supplementary Table 1 shows the advantages and limitations of conventional G-banding karyotyping and CMA.

References

Steele, M. W. and Roy Breg, W., “Chromosome analysis of human amniotic-fluid cells,The Lancet, vol. 287, no. 7434, pp. 383385, 1966.CrossRefGoogle Scholar
Poletti, E., Zappelli, F., Ruggeri, A. and Grisan, E., “A review of thresholding strategies applied to human chromosome segmentation,Computer Methods and Programs in Biomedicine, vol. 108, no. 2, pp. 679688, 2012.CrossRefGoogle ScholarPubMed
Martin, C. L., Kirkpatrick, B. E. and Ledbetter, D. H., “Copy number variants, aneuploidies, and human disease,Clinics in Perinatology, vol. 42, no. 2, pp. 227242, 2015.CrossRefGoogle ScholarPubMed
Dhillon, R. K., Hillman, S. C., Morris, R. K. et al., “Additional information from chromosomal microarray analysis (CMA) over conventional karyotyping when diagnosing chromosomal abnormalities in miscarriage: a systematic review and meta-analysis,BJOG: An International Journal of Obstetrics and Gynaecology, vol. 121, no. 1, pp. 1121, 2014.CrossRefGoogle ScholarPubMed
Fiorentino, F., Napoletano, S., Caiazzo, F. et al., “Chromosomal microarray analysis as a first-line test in pregnancies with a priori low risk for the detection of submicroscopic chromosomal abnormalities,European Journal of Human Genetics, vol. 21, no. 7, pp. 725730, 2013.CrossRefGoogle ScholarPubMed
Hao, M., Li, L., Zhang, H., Li, L., Liu, R. and Yu, Y., “The difference between karyotype analysis and chromosome microarray for mosaicism of aneuploid chromosomes in prenatal diagnosis,Journal of Clinical Laboratory Analysis, vol. 34, no. 12, Article ID e23514, 2020.CrossRefGoogle ScholarPubMed
Wapner, R. J., Martin, C. L., Levy, B. et al., “Chromosomal microarray versus karyotyping for prenatal diagnosis,New England Journal of Medicine, vol. 367, no. 23, pp. 21752184, 2012.CrossRefGoogle ScholarPubMed
Bates, S. E., “Classical Cytogenetics: Karyotyping Techniques,Methods Mol Biol., vol. 767, pp. 177190, 2011.CrossRefGoogle ScholarPubMed
Wei, P., Li, Y. X., Zeng, L. et al., “[Analysis of 89 amniotic samples using fluorescent in situ hybridization],Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics, vol. 30, no. 2, pp. 214217, 2013.Google ScholarPubMed
Shi, Y., Ma, J., Xue, Y., Wang, J., Yu, B. and Wang, T., “The assessment of combined karyotype analysis and chromosomal microarray in pregnant women of advanced maternal age: a multicenter study,Annals of Translational Medicine, vol. 7, no. 14, pp. 318 2019.CrossRefGoogle ScholarPubMed
Warburton, D., “De novo balanced chromosome rearrangements and extra marker chromosomes identified at prenatal diagnosis: clinical significance and distribution of breakpoints,The American Journal of Human Genetics, vol. 49, no. 5, pp. 9951013, 1991.Google ScholarPubMed
ACOG, Committee on Genetics,Obstetrics and Gynecology, vol. 122, no. 6, pp. 13741377, 2013.Google Scholar
Xia, M., Yang, X., Fu, J., Teng, Z., Lv, Y. and Yu, L., “Application of chromosome microarray analysis in prenatal diagnosis,BMC Pregnancy and Childbirth, vol. 20, no. 1, p. 696, 2020.CrossRefGoogle ScholarPubMed
Wang, S. X. and Ma, J. M., “Appropriate strategies for prenatal diagnosis of chromosomal microarray analysis technology,Chinese Journal of Preventive Medicine, vol. 22, no. 1, p. 4, 2019.CrossRefGoogle Scholar
Ordulu, Z., Kammin, T., Brand, H. et al., “Structural chromosomal rearrangements require nucleotide-level resolution: lessons from next-generation sequencing in prenatal diagnosis,The American Journal of Human Genetics, vol. 99, no. 5, pp. 10151033, 2016.CrossRefGoogle ScholarPubMed
Redin, C., Brand, H., Collins, R. L. et al., “The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies,Nature Genetics, vol. 49, no. 1, pp. 3645, 2017.CrossRefGoogle ScholarPubMed
Talkowski, M. E., Ordulu, Z., Pillalamarri, V. et al., “Clinical diagnosis by whole-genome sequencing of a prenatal sample,New England Journal of Medicine, vol. 367, no. 23, pp. 22262232, 2012.CrossRefGoogle ScholarPubMed
Munné, S., Weier, H. U., Grifo, J. and Cohen, J., “Chromosome mosaicism in human embryos,Biology of Reproduction, vol. 51, no. 3, pp. 373379, 1994.CrossRefGoogle ScholarPubMed
Wiktor, A. and Van Dyke, D. L., “FISH analysis helps identify low-level mosaicism in Ullrich-Turner syndrome patients,Genetics in Medicine, vol. 6, no. 3, pp. 132135, 2004.CrossRefGoogle ScholarPubMed
Mary, L., Loget, P., Odent, S. et al., “Multicolor-FISH characterization of a prenatal mosaicism for a chromosomal rearrangement undetected by molecular cytogenetics,Cytogenetic and Genome Research, vol. 161, no. 3-4, pp. 143152, 2021.CrossRefGoogle ScholarPubMed
Heng, H. H., Ye, C. J., Yang, F. et al., “Analysis of marker or complex chromosomal rearrangements present in pre- and post-natal karyotypes utilizing a combination of G-banding, spectral karyotyping and fluorescence in situ hybridization,Clinical Genetics, vol. 63, no. 5, pp. 358367, 2003.CrossRefGoogle ScholarPubMed
Chen, S., Liu, D., Zhang, J. et al., “A copy number variation genotyping method for aneuploidy detection in spontaneous abortion specimens,Prenatal Diagnosis, vol. 37, no. 2, pp. 176183, 2017.CrossRefGoogle ScholarPubMed
Xue, Y., Zhao, G., Qiao, L., Lu, J., Yu, B. and Wang, T., “Sequencing shorter cfDNA fragments decreases the false negative rate of non-invasive prenatal testing,Frontiers in Genetics, vol. 11, p. 280, 2020.CrossRefGoogle ScholarPubMed
Figure 0

FIGURE 1: The flow chart of the disease diagnosis.

Figure 1

TABLE 1: Diagnostic yields in 3710 prenatal samples by karyotype analysis and CMA.

Figure 2

TABLE 2: Characteristics of prenatal samples with an abnormal karyotype and a normal CMA.

Figure 3

FIGURE 2: The results of G-banding karyotype analysis in case 1 showed the 45, X, [73]/46, X, +mar [10].

Figure 4

FIGURE 3: FISH analysis in case 1 was further used to evaluate the chromosome abnormalities.

Figure 5

TABLE 3: Characteristics of prenatal samples with a normal karyotype and an abnormal CMA.

Figure 6

FIGURE 4: CMA results in case 15 indicated mosaicism for trisomy 2.

Figure 7

FIGURE 5: Comparison of CNVplex before and after culture in case 15.

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