结合核型、CNV-seq和QF-PCR提高产前诊断:高危妊娠染色体异常的综合分析。

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY Frontiers in Genetics Pub Date : 2025-01-13 eCollection Date: 2024-01-01 DOI:10.3389/fgene.2024.1517270
Jia-Pei Liu, Shan-Bing Wang, Li Luo, Ya-Mei Guo
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引用次数: 0

摘要

目的:评价染色体核型分型、拷贝数变异测序(CNV-seq)和定量荧光聚合酶链反应(QF-PCR)联合检测高危妊娠染色体异常的诊断效果。方法:回顾性分析2023年2月至2024年8月进行产前诊断的617例高危妊娠,同时对羊水样本进行核型、CNV-seq和QF-PCR分析。我们评估了临床特征、诊断率和方法间的一致性。纵向随访评估妊娠结局和新生儿表型,特别强调诊断差异或不确定临床意义变异的病例。结果:综合方法检出率为12.5%(77/617),显著高于单纯核型分析检出率(9.7%)和单纯CNV-seq/QF-PCR检出率(8.3%)(p < 0.05)。核型与CNV-seq和QF-PCR检测主要染色体非整倍体完全一致,鉴定21三体21例,18三体4例。CNV-seq在2.1%的病例中独特地鉴定出额外的致病拷贝数变异,在3.2%的病例中鉴定出不确定意义变异(VUS),这两种变异都无法通过常规核型检测到。高危无创产前检查(NIPT)结果组异常检出率最高(57.6%,p < 0.05)。随访资料显示,97例染色体异常患者中有44例终止妊娠。值得注意的是,携带从无症状父母遗传的致病性CNVs的新生儿表现出正常的表型。结论:与单独检测策略相比,核型、CNV-seq和QF-PCR的整合在高危妊娠中提供了更高的诊断率。虽然核型仍然是检测主要染色体畸变的金标准,但CNV-seq和QF-PCR通过检测亚显微变异提高了诊断精度。需要更大规模的多中心研究来证实这些发现,并阐明不确定变异的临床意义。
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Improving prenatal diagnosis with combined karyotyping, CNV-seq and QF-PCR: a comprehensive analysis of chromosomal abnormalities in high-risk pregnancies.

Objective: This study aims to assess the diagnostic efficacy of a combined approach integrating chromosomal karyotyping, copy number variation sequencing (CNV-seq), and quantitative fluorescence polymerase chain reaction (QF-PCR) in detecting chromosomal abnormalities in high-risk pregnancies.

Methods: This retrospective study analyzed 617 high-risk pregnancies undergoing prenatal diagnosis from February 2023 to August 2024, with amniotic fluid samples concurrently analyzed using karyotyping, CNV-seq, and QF-PCR. We evaluated clinical characteristics, diagnostic yields, and inter-method concordance rates. Longitudinal follow-up assessed pregnancy outcomes and neonatal phenotypes, with particular emphasis on cases demonstrating diagnostic discrepancies or variants of uncertain clinical significance.

Results: The integrated approach detected chromosomal abnormalities in 12.5% (77/617) of cases, significantly higher than the rates achieved by karyotyping alone (9.7%) and CNV-seq/QF-PCR alone (8.3%) (p < 0.05). Karyotyping showed full concordance with CNV-seq and QF-PCR in detecting major chromosomal aneuploidies, identifying 21 cases of trisomy 21 and 4 cases of trisomy 18. CNV-seq uniquely identified additional pathogenic copy number variations in 2.1% of cases and variants of uncertain significance (VUS) in 3.2% of cases, both undetectable by conventional karyotyping. Subjects with high-risk non-invasive prenatal testing (NIPT) results had the highest abnormality detection rate (57.6%, p < 0.05). Follow-up data revealed pregnancy termination in 44 of 97 cases with chromosomal abnormalities. Notably, neonates carrying pathogenic CNVs inherited from asymptomatic parents demonstrated normal phenotypes.

Conclusion: The integration of karyotyping, CNV-seq, and QF-PCR provides superior diagnostic yield compared to individual testing strategies in high-risk pregnancies. Although karyotyping remains the gold standard for detecting major chromosomal aberrations, CNV-seq and QF-PCR enhance diagnostic precision through detection of submicroscopic variations. Multi-center studies with larger cohorts are needed to confirm these findings and clarify the clinical significance of uncertain variants.

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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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