Emerging studies suggest that low‐coverage massively parallel copy number variation sequencing (CNV-seq) more sensitive than chromosomal microarray analysis (CMA) for detecting low-level mosaicism. However, a retrospective back-to-back comparison evaluating accuracy, efficacy, and incremental yield of CNV-seq compared with CMA is warranted.
A total of 72 mosaicism cases identified by karyotyping or CMA were recruited to the study. There were 67 mosaic samples co-analysed by CMA and CNV-seq, comprising 40 with sex chromosome aneuploidy, 22 with autosomal aneuploidy and 5 with large cryptic genomic rearrangements.
Of the 67 positive mosaic cases, the levels of mosaicism defined by CNV-seq ranged from 6 to 92% compared to the ratio from 3 to 90% by karyotyping and 20% to 72% by CMA. CNV-seq not only identified all 43 chromosomal aneuploidies or large cryptic genomic rearrangements detected by CMA, but also provided a 34.88% (15/43) increased yield compared with CMA. The improved yield of mosaicism detection by CNV-seq was largely due to the ability to detect low level mosaicism below 20%.
In the context of prenatal diagnosis, CNV-seq identified additional and clinically significant mosaicism with enhanced resolution and increased sensitivity. This study provides strong evidence for applying CNV-seq as an alternative to CMA for detection of aneuploidy and mosaic variants.
Chromosomal mosaicism is defined by the presence of two or more cell populations within the body and results from either gamete meiotic or mitotic cleavage-stage errors in the early preimplantation embryo . Based on the differentiation stage when mosaicism arises, the aneuploid cells can reside only in extra‐fetal tissues (e.g. the placenta), only in the fetus, or in both. Therefore, mosaicism and the level detected has an important impact on the phenotype of first generation carriers but also on the recurrence risk with implications for prenatal counselling .
Karyotyping, with a maximum resolution of 3 Mb , has been used as the golden standard for identifying chromosomal abnormalities in prenatal diagnosis for more than 50 years. In general, the lower limit of true mosaicism detectable by karyotyping is around 5% . However, in some cases, low level mosaicism can be due to culture artifacts. Chromosomal microarray (CMA) conducted on uncultured fetal cells from chorionic villus sampling or amniocentesis has gradually replaced conventional karyotyping for all prenatal diagnosis indications owing to a higher diagnostic yield, quicker turnaround time and elimination of cultural artifacts (pseudo mosaicism) . Although it has been demonstrated to be a powerful tool to detect mosaicism at levels as low as 5% , it still remains difficult to detect mosaicism in clinical research when the ratio of euploid to aneuploid cells is below 20%. This is mainly due to platform differences, quality of the biopsy samples and maternal cell contamination (MMC). Besides, the efficiency to detect segmental mosaicism can be limited by probe design and genome location.
More recently, low‐coverage massively parallel copy number variation sequencing (CNV-seq) has emerged as a high-resolution and low-cost technology for detecting CNVs in clinical samples . CNV‐seq can detect structural abnormalities larger than 100 kb and mosaicism as low as 5% [7, 8]. More and more studies have supported a higher sensitivity for low-pass GS in identifying low-level mosaicisms of both numerical disorders and submicroscopic rearrangements compared with routine CMA [5, 9, 10]. However, there is limited retrospective back-to-back comparison study to evaluate the accuracy and efficacy of CNV-seq compared with CMA has been reported in routine prenatal diagnosis. Herein, we conducted a study to evaluate the diagnostic outcome and technical limitations of CMA and CNV-seq for detection of mosaicism.
Prenatal diagnosis by karyotyping or CMA identified 72 fetuses with chromosome mosaicism from routine clinical samples collected in the Department of Medical Genetics of Hunan Provincial Maternal and Child Health Care Hospital between May 2018 to November 2019. The primary prenatal indications for the 72 women were: 21 (29%) for advanced maternal age (AMA, > 35 years), 13 (18%) with abnormal ultrasound structure scans (aUS), 19 (26%) with a high-risk maternal serum screening (hMSS) results, 54 (69%) high-risk z-scores for T21/T18/T13 by noninvasive prenatal screening (NIPS) and 3 (4%) had poor fertility histories (see Table 1 for case details).
Genomic DNA (gDNA) was extracted from amniotic fluid (approximately 8 mL) or fetal cord blood (approximately 200µL) by using DNA Extraction Kit (Tissue and cells) and QIAamp DNA Blood Mini Kit (QIAGEN, Hilden, Germany) respectively. The quality and concentration of gDNA from the samples was assessed using the Qubit 2.0 Fluorometer (Thermo Fisher Scientific, Waltham, Massachusetts, USA). Multiplex fluorescent PCR using 21 short tandem repeat (STR) markers was performed using the MicroreaderTM 21 Direct ID System (Suzhou Yuewei Gene Technology corporation, China) to measure MMC and identify polyploidy . All 72 samples had MCC levels less than 5% and qualified for CMA and CNV-seq analysis.
Amniotic fluid and fetal cord blood samples were obtained under sterile conditions. For all prenatal samples, two cell cultures were set up by trypsin-Giemsa banding, seeding the flasks with either 10 mL of amniotic fluid or 0.2 mL of cord blood. Amniotic and cord blood cultures were expanded for 8 and 3 days, respectively, and then G-banded (320–400 bands) karyotyping analyses were performed on metaphases cells according to standard protocols. According to established guidelines , analysis of at least 50 metaphases cells was used to diagnose mosaicism. Mosaicism was defined as either level I/II pseudomosaicism or level III true mosaicism. Level I pseudomosaicism denotes the presence of a single aneuploid cell whereas level II pseudomosaicism denotes two or more aneuploid cells from one primary culture only. Level III is the presence of multiple aneuploid cells from at least two primary cultures and was classified as true mosaicism. In this study, with the exception of case 27, all mosaic samples were diagnosed with level II true mosaicism.
SNP array analysis was performed using Affymetrix CytoScan®750 K Array (Affymetrix Inc, CA, USA), according to the manufacturers protocol. Array results were analyzed using Chromosome Analysis Suite Software (ChAS; version 4.0). All genomic coordinates were taken from the February 2009 (hg19) human reference sequence (NCBI Build 37). Genes and Online Mendelian Inheritance in Man (OMIM) references were from RefSeq and OMIM entries, respectively. The theoretical values for the detection of a single copy gain or loss were applied as previously reported [13, 14].
Genomic DNA (10 ng) was fragmented and DNA library was constructed as previously described . Multiple libraries were indexed and pooled into a single lane and sequenced on the Nextseq CN500 instrument (Illumina, Inc.) to produce approximately 5 million single-end reads of 45 bp (including the 8 bp index sequence). For each sample, approximately 2.8–3.2 million uniquely and precisely mapped 36 bp reads were aligned to the human reference genome using the Burrows–Wheeler mapping algorithm  and then allocated to 20-kb bins sequentially across each of 24 chromosomes. Binned read data of all samples were compared internally with each other as described previously , and then log2 of the mean CNV of each sequencing bin along the length of each chromosome was plotted with log2 representing two copies (normal), log2[1.5] three copies (duplication) and log2[0.5] one copy (deletion). Trisomic mosaicism was defined by a mean chromosome copy number between 2.05 (5%) and 2.95 (95%) whereas monosomic mosaicism was defined as a mean chromosome copy number between 1.05 (5%) and 1.95 (95%).
Following prenatal diagnosis of 5,367 pregnancies with karyotyping and CMA, 72 fetuses were identified with mosaic results, including 22 with autosomal aneuploidy (30%), 40 with sex chromosome aneuploidy (n = 56%) and 10 with large cryptic genomic rearrangements (14%). Five samples with large cryptic genomic rearrangements were excluded from the analysis due to a lack of DNA following CMA testing (Additional file 1: Table S1). Therefore, 67 samples (40 sex chromosome aneuploidies, 22 autosomal aneuploidies and 5 large cryptic genomic rearrangements) were eventually analyzed by both CMA and CNV-seq (Fig. 1).
Diagnostic concordance of CNV-seq and CMA versus karyotyping
For the 65 of 67 samples identified as mosaic by karyotyping, 41(63%) were also confirmed by CMA (Fig. 1). Of the 41 positives, 37 showed low levels of mosaicism around 20%. Two samples normal by karyotyping, we revealed as mosaic trisomy 8 and mosaic partial trisomy 8 by CMA. In comparison, CNV-Seq not only identified all 43 mosaics detected by CMA, but also identified an additional 15 mosaic samples, increasing the yield of mosaic detection by 35% over CMA. The levels of mosaicism defined by CNV-seq ranged from 6 to 92%. Further, the chromosomal map intervals, size, and copy number of the reportable mosaicisms detected by both DNA-based techniques were almost identical. Nine samples diagnosed as normal by CMA were also confirmed by CNV-seq.
Chromosomal mosaicism for autosomal aneuploidy
For mosaic autosomal aneuploidy, there were 21 cases identified by karyotyping and 1 case by CMA. The majority of mosaic cases (16 of 22) were from high-risk noninvasive prenatal screening group (Table 1). The mosaics identified involved trisomy 21 (12, 55%), trisomy 18 (2, 9%), trisomy 15 (2, 9%) and other autosomal trisomies (6, 27%).
CMA analysis identified 13 of 22 cases with mosaicism levels as low as 20% whereas CNV-seq identified 19 of the 22 cases with mosaicism at levels down to 5% (Fig. 2). For all 19 cases confirmed by CNV-seq, the percentages of trisomic cells for trisomy 21, 18 and 13 were in good close agreement with karyotyping results. However, for case 16, 17, 18, 19 and 22, the proportion of aneuploidy was much lower in culture samples compared with uncultured. Notably, for case 18, the mosaic trisomy 8 was not detected in the cultured AF sample by metaphase analysis of 100 G-banded cells whereas CMA and CNV-seq showed 24% and 18% trisomy 8 mosaicism, respectively (Additional file 1: Fig. S1). For the remaining three cases 11, 20 and 21, both CNV-seq and CMA showed a normal result in uncultured amniotic fluid cells but karyotype showed a mosaic pattern of trisomy 21, trisomy 9 and trisomy 20 in cultured amniotic fluid cells, respectively.
Chromosomal mosaicism for sex chromosome aneuploidy
There were 40 cases with mosaic sex chromosome aneuploidies accounting for 60% of all cases identified by karyotyping. Clinical indications for these cases were broader including aUS (n = 6), AMA (n = 11), hMSS (n = 12), NIPS (n = 33) and poor fertility history (n = 2). Details of the sex chromosomes involved and the clinical course of the 40 pregnancies are presented in Table 1. The mosaic findings including 25 cases for monosomy X (45, X/46, XX), 7 cases for monosomy X and trisomy X (45, X /47, XXX) or monosomy X and disomy X (45, X /47, XXY), 5 cases for disomy X (47, XXY /46, XY), 1 case for disomy Y (47, XYY /46, XY), 1 case for trisomy X (47, XXX /46, XX) and 1 case for both monosomy X, disomy X, and trisomy X (45, X /46, XX/47, XXX).
Based on the karyotyping data, the percentage of monosomic or trisomic cells varied from as low as 4% to as high as 92% (Table 1). Of the 40 sex chromosome mosaics identified by karyotyping, CMA identified 23 cases of mosaicism (levels as low as 20%), 2 cases of whole sex chromosome aneuploidy and 15 normals. In contrast, CNV-seq identified 34 cases of mosaicism (level as low as 8%) with an incremental yield of mosaicism of 22.5% over CMA. There was a 100% positive concordance between CMA and CNV-Seq for 23 mosaic samples. It should be noted that in case samples 38, 47, 50, 54 and 55, the proportion of monosomy X or disomy Y varied by more than 30% in cultured samples compared with uncultured samples.
For the 9 additional cases of mosaicism identified by CNV-seq, the measured levels of mosaicism were low, ranging from 8 to 23%. Further, for cases 36 and 41, there were 1.92 and 1.90 haploid equivalents of chromosome X in the amniotic fluid samples, respectively, whereas CNV-seq analysis of available fetal placenta confirmed placental mosaicism with chromosome X of 1.17–1.87 and 1.3–1.85 haploid equivalents (Additional file 3: Fig.S2).
For cases 23, 26, 27, 30, 32 and 61, both CNV-seq and CMA showed a normal result in uncultured amniotic fluid cells, but karyotyping showed a mosaic pattern of monosomy X or disomy X in cultured amniotic fluid cells. Among these cases, karyotyping detected a mosaic pattern of monosomy X or disomy X of less than 10% in 5 of the 6 cases. The negative results of CMA and CNV-seq may have been due to technical limitations or culture artifacts by karyotyping.
Chromosomal mosaicism for large cryptic genomic rearrangements
A total of 5 cases with large cryptic genomic rearrangements were identified by karyotyping. Of these, 4 (cases 64, 65, 66, 67) had a mosaic pattern involving a small supernumerary marker chromosome (sSMC) or unclarified derived chromosome. By CMA, the character, origin and pathogenicity of these sSMC was further clarified (Additional file 4: Fig. S3–Additional file 8: Fig. S7). Details of the chromosomes involved and the clinical course of the 5 pregnancies are presented in Table 1.
Extensive prenatal studies have shown that mosaicism can involve most of the chromosomes, presenting as trisomy, monosomy, triploidy, deletion, duplication and ring mosaics. A clinical cytogenetics laboratory performing prenatal diagnosis should therefore understand the limitations of cell-based chromosome analyses and DNA-based CNV-seq and CMA analyses for detecting and measuring the levels of mosaic aneuploidies and other cryptic genomic rearrangements.
To our knowledge, this is the first retrospective back-to-back study evaluating the efficacy of CNV-seq in detecting mosaicism, benchmarking against CMA and karyotyping as a reference. In our prenatal study, 72 of 5,367 cases showed a mosaic chromosome pattern with 1.39% (67/4825) detection rates among amniotic fluid samples and 0.92% (5/542) detection rates among cord blood samples. This rate is similar to the 1–2% chromosomal mosaicism rate in CVS [16, 17] but higher than the 0.1–0.5% rate in amniotic fluid samples [18, 19]. Among the 72 mosaic pattern fetuses, high-risk NIPS results (53, 68.91%) was the most common prenatal diagnosis indication. In NIPS analyses, there are occasional samples in gray zone for positive Z scores, indicating possible mosaicism. Thus, amniocentesis and karyotyping should be used to follow up these results to confirm full aneuploidy or mosaic aneuploidy . If mosaicism is present, a more accurate assessment for levels can be obtained by CNV-seq.
The current study demonstrated that CNV-seq is more sensitive than CMA for identifying mosaicism, with the ability to detect levels down to 5%. This study confirms previous modelling of mosaicism where XXX and XO mosaicism was readily detectable at 5% . Although SNP arrays has been demonstrated to be a powerful tool to detect mosaicism at levels as low as 5% by using IlluminaQuad610 array, the detectable levels are still variable among different CMA platform (9%-20% for array CGH [18, 21] and 30%-70% for Affymetrix arrays [22, 23]). Further, when using poor-quality, contaminated or fragmented DNA as the starting template, CNV-seq preforms much better than array CGH platforms for detection of aneuploidy and mosaicism . In addition, for cryptic segmental mosaicism by CMA, the detection rate is not only due to size of the CNV but also influenced by nonuniform distribution of the probes in some genomic regions . As an example, Wang et al. previously showed a variable probe density in the targeted region among different CMA platforms, prevented detection of pathogenic 298.7-kb deletion in the FBN2 gene that was detectable by low-pass genome sequencing. This reinforces the advantages of applying low-pass genome sequencing for CNV analysis which relies on genome-wide uniformly distributed reads mapped to sequential bins across all chromosomes.
Variable proliferation of cells with different karyotype under in vitro cell culture may have contributed to the inconsistent results between CNV-seq/CMA (uncultured samples) and karyotyping (cultured samples). Cell culture tends to promote the in vivo selection of euploid over aneuploid cells, which has been reported to increase with age of the culture . In our study, the percentages of cells for trisomy 21, 18 and 13 by cell-based chromosome analyses were in good agreement with mosaicism levels measured by DNA-based CNV-seq or CMA and were compared. However, for mosaic trisomy 15, trisomy, trisomy 2 and trisomy 22, levels of mosaicism by CNV-Seq and CMA were higher than those seen by karyotyping, which is consistent with previous reports for autosomal mosaicism [27,28,29,30]. This supports the general notion that normal cells may have had a growth advantage in culture or the abnormal cell line may have a culture disadvantage . The exception was monosomy X (7 of 30 cases), where the monosomy X cell line appeared to have a growth advantage over the normal cells, since CNV-seq and CMA measured monosomy X mosaicism at much lower levels. There were also 9 discordant cases where karyotyping detected mosaicism above 10%, but CNV-seq/CMA showed a normal result. Based on postnatal outcomes, a normal karyotype was confirmed, suggesting the mosaicism observed by karyotyping was due to low level culture artifacts. On balance, our studies highlight the advantage of using direct uncultured samples which can avoid artifact of culture, provides a quicker result and levels of mosaicism are more accurate to make a firm diagnosis.
This study evaluated the effectiveness of CNV-Seq for detecting low-level mosaicism in prenatal diagnosis. The retrospective analysis found that CNV-seq identified additional and clinically significant information with enhanced resolution and increased sensitivity for mosaicism (35% increased yield) compared with CMA. The diagnosis and genetic counselling for mosaicism in a prenatal setting remains challenging. Based on our findings, we propose that low level mosaic findings from karyotyping should be confirmed with a DNA based method, preferably CNV-seq if available.
Availability of data and materials
NCBI human reference genome GRCh37 was used as the reference genome during the current study, which is available in National Center for Biotechnology Information (NCBI) at https://www.ncbi.nlm.nih.gov/projects/genome/guide/human/index.shtml. To ensure patient confidentiality, data containing potentially identifiable information was not shared. Raw data of CMA and CNV-seq assay obtained in our study is available from the corresponding author on reasonable request. All data generated or analysed during this study, without identifiable information, is available in this published article and its Supplemental Data Tables and Figures.
Copy Number Variation Sequencing
Chromosomal Microarray Analysis
Copy Number Variation
Advanced Maternal Age
Abnormal Ultrasound Structure
High-risk of Maternal Serum Screening
Noninvasive Prenatal Screening
Supernumerary Marker Chromosome
Confined Placental Mosaicism
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We thank all the family for their contribution. We also thank laboratory staff at Prenatal Diagnosis Center of Hunan Province, Hunan provincial Maternal and Child Health Care Hospital.
This study was supported by grants from the Major Scientific and Technological Projects for Collaborative Prevention and Control of Birth Defects in Hunan Province (2019SK1010, 2019SK1014) and the Natural Science Foundation of Hunan Province (No. 2018JJ3274 and No. 2018JJ3275). This research and this article’s publication costs were supported by this funding.
Authors and Affiliations
Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
Na Ma, Hui Xi, Jing Chen, Ying Peng, Zhengjun Jia, Shuting Yang, Jiancheng Hu, Jialun Pang, Yanan Zhang, Rong Hu, Hua Wang & Jing Liu
National Health Commission Key Laboratory of Birth Defects Research, Prevention and Treatment, Changsha, 410008, Hunan, China
NM, HX, HW and JL had major roles in the design of the study. NM and JL drafted the manuscript. JP and YZ performed the molecular genetic experiments and analyzed the data. JH and RH performed the cytogenetic experiments and analyzed the data. JC, ZJ, YP, SY and HX analyzed the clinical data. HW and JL are corresponding authors of this manuscript. All authors read and approved the final manuscript.
Written informed consent for prenatal genetic investigation was obtained from each study participant. For this retrospective study, there were no pre-study requirements on the patient's specimens and clinical indications and there were no post-study interaction and intervention with the patients. This study and the Ethics approval of the clinical/personal patient data was obtained from the Ethics Committee of Hunan Provincial Maternal and Child Health Care Hospital (approved number EC20190101 and 2017-S019).
Consent for publication
Written informed consent for publication of clinical and genetic data was obtained from all participants.
The authors declare no conflict of interest.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
. Figure S1: Case 18. Panel A. CMA analysis of uncultured AF samples shows mosaic trisomy 8 (~24%). Panel B. CNV‐seq profile of the same sample shows a slightly lower ratio of mosaic trisomy 8 (~18%). The blue line represents the mean copy number and the black box represents the centromere.
. Figure S2: Cases 36 and 41. Panel A. The CMA analysis of uncultured AF samples shows a normal result. The CNV‐seq profile of the same AF sample shows a low ratio of mosaic monosomy X (~8%). The CNV‐seq profiles of the maternal and fetal center of placenta show monosomy X with the level of 11% and 83% mosaicism. The blue line represents the mean copy number and the black box represents the centromere. Panel B. The CMA analysis on uncultured AF samples shows a normal result. The CNV‐seq profiles of the same AF samples shows a low ratio of mosaic monosomy X (~8%). The CNV‐seq profiles of the maternal and fetal center of placenta show monosomy X with the level of 15% and 78% mosaicism. The blue line represents the mean copy number and the black box represents the centromere.
. Figure S3. Case 63 (normal karyotype). CMA and CNV-seq results were discordant with karyotyping. Panel A. CMA analysis on uncultured cord blood sample shows a 20.44 Mb mosaic duplication at chromosome 8p21.3p11.21 (~ 23% of cells) marked by arrow. Panel B. CNV-seq shows a mosaic 8p22p11.1 duplication of 25.3 Mb (~23% of cells). Positions of CNVs are indicated by the dashed boxes.
. Figure S4: Case 64. Chromosomal mosaicism for Xp2.33q21.31 detected by CMA and CNV-Seq. Panel A. CMA result. Panel B. CNV-Seq result. Blue lines on sequencing plots represent mean copy number changes. Panel C. Karyotype showing Xp deletion.
. Figure S5: Case 65. Mosaic duplication of Yq11.222q11.223 detected by CMA and CNV-Seq. Panel A. CMA result. Panel B. CNV-Seq result. Blue lines on sequencing plots represent mean copy number changes. Panel C. Karyotype showing Yq duplication. Positions of CNVs are indicated by the dashed boxes.
. Figure S6: Case 66. Mosaic deletion of Xp22.33p11.21 and Xq13.2q28 detected by CMA and CNV-Seq. Panel A. CMA result. Panel B. CNV-Seq result. Blue lines on sequencing plots represent mean copy number changes. Panel C. Karyotype showing X deletion. Positions of CNVs are indicated by the dashed boxes.
. Figure S7: Case 67. Mosaic trisomy 21 and mosaic duplication of Xp11.21q28 detected CMA and CNV-Seq. Panel A. CMA result. Panel B. CNV-Seq result. Blue lines on sequencing plots represent mean copy number changes. Panel C. Karyotype showing trisomy 21 and XXX. Positions of CNVs are indicated by the dashed boxes.
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Ma, N., Xi, H., Chen, J. et al. Integrated CNV-seq, karyotyping and SNP-array analyses for effective prenatal diagnosis of chromosomal mosaicism.
BMC Med Genomics14, 56 (2021). https://doi.org/10.1186/s12920-021-00899-x