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Application of Genetic Origin Analysis of Copy Number Variations in Non‐Invasive Prenatal Testing

拷贝数变化 产前诊断 遗传学 生物 基因检测 医学 进化生物学 怀孕 胎儿 基因组 基因
作者
Jing Wang,Qingwen Zhu,Aiming Cui,Mengsi Lin,Heqiang Lou
出处
期刊:Prenatal Diagnosis [Wiley]
标识
DOI:10.1002/pd.6688
摘要

ABSTRACT 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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