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Objective: This study aimed to assess the application of origin analysis of copy number variations (CNVs) in non-invasive prenatal testing (NIPT) and provide a basis for expanding the clinical application of NIPT.
Method: We enrolled 35,317 patients who underwent NIPT between January 2019 and March 2023. Genome sequencing of copy number variation (CNV-Seq) analysis was performed using the CNV calling pipeline to identify subchromosomal abnormalities in maternal plasma. Genetic origin was determined by comparing the chimaerism ratio of CNV and the concentration of cell-free foetal DNA (cffDNA). All pregnant women with a high risk of CNV, as indicated by the NIPT, were informed of their genetic origins. Amniocentesis was recommended for detecting the CNVs in foetal chromosomes, and pregnancy outcomes were tracked.
Results: A total of 109 pregnancies showed clinically significant positive results for CNV after NIPT, including 65 cases of maternal/foetal (M/F)-CNVs and 44 cases of F-CNVs. The occurrence of M/F-CNVs was independent of age, screening (serological or ultrasound) indications for abnormalities, and mode of pregnancy. The incidence of pathogenic/likely pathogenic (P/LP)-F-CNVs was high in cases where serological screening indicated intermediate, high-risk, or abnormal US findings (p < 0.05). In the M/F-CNV group, most of the P/LP-CNVs were small fragments with low penetrance; 55 (84.62%) were less than 5 Mb in size, and nine (13.85%) were between 5 and 10 Mb. In the F-CNV group, foetal P/LP-CNV was detected in 36 of 42 cases undergoing prenatal diagnosis, and no significant bias was noted in the size distribution of P/LP-F-CNV fragments. The prenatal diagnostic rate and positive predictive value in the F-CNV group were 95.45% and 85.71%, respectively, which were significantly different from those in the M/F group (26.15% and 52.95%), respectively (p < 0.05).
Conclusions: Genetic origin analysis of CNV can effectively improve adherence to prenatal diagnosis in pregnant women and the accuracy of prenatal diagnosis.
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http://dx.doi.org/10.1002/pd.6688 | DOI Listing |
Mol Genet Genomic Med
September 2025
Department of Maternal-Fetal Medicine, Augusta University, Augusta, Georgia, USA.
Introduction: Spinal muscular atrophy (SMA), caused by pathogenic variants in the survival motor neuron (SMN) gene, is the most common genetic cause of mortality in children under the age of two. Prior reports of obstetric sonograms performed in pregnancies with severe forms of fetal SMA have discrepant findings that may stem from a failure to account for the SMN2 copy number.
Methods: We present a neonate diagnosed with SMA type 0 postnatally (0SMN1/1SMN2 genotype).
JDS Commun
September 2025
Livestock Improvement Corporation Ltd., Newstead, Hamilton 3240, New Zealand.
SLICK1 is an allelic variant of the prolactin receptor () that is found in Senepol beef cattle. The presence of a single copy of this allele produces a short hair coat and confers heat tolerance. We aimed to determine the effect of 2 copies of this allele on milking performance of dairy cattle.
View Article and Find Full Text PDFBioimpacts
August 2025
Department of Surgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Introduction: Mitochondrial DNA (mtDNA) copy number variations have been reported in multiple human cancers. Previous studies indicate that mitochondrial retrograde signaling regulates , which plays a key role in tumorigenesis, including regulating apoptosis antagonizing transcription factor (). This study investigates the expression of and in relation to mtDNA copy number in invasive ductal carcinoma (IDC) of the breast.
View Article and Find Full Text PDFMol Ecol Resour
September 2025
College of Life Sciences, Henan Normal University, Xinxiang, China.
Miniature inverted-repeat transposable elements (MITEs) are short, non-autonomous class II transposable elements prevalent in eukaryotic genomes, contributing to various genomic and genic functions in plants. However, research on MITEs mainly targets a few species, limiting a comprehensive understanding and systematic comparison of MITEs in plants. Here, we developed a highly sensitive MITE annotation pipeline with a low false positive rate and applied it to 207 high-quality plant genomes.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Diagnosis and Treatment Center for Children, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin Province, China.
Rationale: Phelan-McDermid syndrome, also known as chromosome 22q13.3 deletion syndrome, is a genetic disorder primarily caused by a chromosome 22q13.3 deletion or mutation.
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