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Published on: August 17, 2022
[Comparison of CNV-seq and chromosomal microarray analyses of abortive tissues]
Yadong Fu1, Jianbing Liu, Huilin Sun
1Medical Genetics Center, Yancheng Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Yancheng, Jiangsu 224000, China. 12484046@qq.com.
Objective:
To compare the performance of copy number variation sequencing (CNV-seq) and chromosomal microarray analysis (CMA) for the analysis of abortive tissues.
Methods:
Tissue samples were collected from 396 patients with missed abortion who were treated at Yancheng Maternal and Child Health Care Hospital between January 2021 and July 2024. A retrospective analysis method was employed to gather relevant clinical data of the patients. 171 samples were detected by CNV-seq combined with short tandem repeat (STR) analysis, and 225 samples were detected by CMA. Differences between the two techniques, including the detection of chromosomal aneuploidies, structural aberrations [detection of CNVs of various lengths and different CNVs types], the types of chromosomal abnormalities across different ages and gestational weeks were comprehensively compared. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2024-LS-KYLX-010).
Results:
Among the 396 samples, 256 cases were detected with chromosomal abnormalities, which yielded a detection rate of 64.6%. Among the 171 cases undergoing CNV-seq analysis, 107 (62.6%) were found with chromosomal abnormalities. Among the 225 cases undergoing CMA, 149 (66.2%) were found with chromosomal abnormalities. No significant difference was found between the two groups (Χ2 = 0.566, P > 0.05). Among the autosomal number abnormalities, trisomy 16 was the most common in both groups, followed by trisomy 22, and 45,X was the most common among the abnormal number of sex chromosomes. In cases of chromosomal structural abnormalities, the CNV-seq group detected 36 CNVs, while the CMA group detected 27 CNVs. In the comparison of CNVs between the two groups based on different genome lengths, when the genome length was 100 ~ 500 kb, the CNV-seq group detected more than the CMA group, there was a statistically significant difference (Χ2 = 4.974, P < 0.05). When the genome length was greater than 1 000 kb, the CMA group detected more than the CNV-seq group, there was a statistically significant difference (Χ2 = 5.24, P < 0.05). Compared to different types of detected CNVs, the CMA group detected more pathogenic CNVs than the CNV-seq group, there was a statistically significant difference (Χ2 = 10.176, P < 0.05), while the CNV-seq group detected more variants of uncertain significance (VUS) CNVs, there was a statistically significant difference (Χ2 = 9.625, P < 0.05). The comparison of two groups based on different types of chromosomal abnormalities shows that aneuploidy was the most common in both groups. The proportion of polyploidy abnormalities was higher in the CMA group than in the CNV-seq group, there was a statistically significant difference (Χ2 = 8.106, P < 0.05), and the proportion of chimerism was higher in the CNV-seq group than in the CMA group, there was a statistically significant difference (Χ2 = 6.888, P < 0.05). The comparison of chromosome abnormalities distribution by age group between the CNV-seq group and the CMA group showed no statistical significance in the four age groups of ≤ 24 years, 25 ~ 29 years, 30 ~ 34 years, and ≥ 35 years (P > 0.05). Comparison of chromosomal abnormalities detected in the two groups at different gestational weeks showed that the CNV-seq group had a significantly higher detection rate for the first 8 weeks than the CMA group (Χ2 = 8.419, P < 0.05), though no significant difference was found in the proportion of chromosomal abnormalities between the two groups for the 8 ~ 10 weeks, 10 ~ 12 weeks, and weeks after 12 (all P > 0.05).
Conclusion:
CNV-seq can detect chromosomal aneuploidies, mosaicisms and more VUS. The combination of CNV-seq and STR analysis can effectively detect chromosomal polyploidy. CNV-seq requires low sample quality and genomic DNA content while achieving high success rates. In the clinics, combined CNV-seq and STR analysis can serve an effective tool for genetic diagnosis of miscarriage tissues.
Insights
Copy number variation sequencing (CNV-seq) and chromosomal microarray analysis (CMA) show comparable overall performance in detecting chromosomal abnormalities in miscarriage tissues. However, CNV-seq excels in identifying smaller copy number variations (CNVs) and mosaicisms, while CMA is better for larger pathogenic CNVs.
Area of Science:
- Genetics and Genomics
- Reproductive Medicine
- Bioinformatics
Background:
- Recurrent miscarriage is a significant reproductive health issue.
- Accurate genetic diagnosis of abortive tissues is crucial for understanding causes and providing genetic counseling.
- Copy number variation sequencing (CNV-seq) and chromosomal microarray analysis (CMA) are advanced molecular techniques for detecting chromosomal abnormalities.
Purpose of the Study:
- To compare the diagnostic performance of CNV-seq and CMA in analyzing abortive tissues from missed abortions.
- To evaluate the detection rates of various chromosomal abnormalities, including aneuploidies and structural variations (CNVs), by both methods.
- To assess the influence of sample quality, age, and gestational week on the efficacy of each technique.
Main Methods:
- Retrospective analysis of 396 missed abortion cases.
- 171 samples analyzed using CNV-seq combined with short tandem repeat (STR) analysis.
- 225 samples analyzed using chromosomal microarray analysis (CMA).
- Comprehensive comparison of detection rates for chromosomal aneuploidies, CNVs of varying lengths and types, and distribution across different demographics.
Main Results:
- Overall detection rate for chromosomal abnormalities was 64.6% (256/396), with no significant difference between CNV-seq (62.6%) and CMA (66.2%).
- CNV-seq detected more smaller CNVs (100-500 kb) and variants of uncertain significance (VUS), while CMA identified more larger CNVs (>1000 kb) and pathogenic CNVs.
- CNV-seq showed a higher detection rate for abnormalities in early gestational weeks (≤8 weeks) and detected more cases of chimerism, whereas CMA detected more polyploidy abnormalities.
Conclusions:
- CNV-seq effectively detects chromosomal aneuploidies, mosaicisms, and VUS, performing well even with low-quality samples.
- Combining CNV-seq with STR analysis enhances the detection of chromosomal polyploidy.
- CNV-seq, particularly when combined with STR analysis, offers a valuable and effective tool for the genetic diagnosis of miscarriage tissues in clinical settings.
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Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

