Evidence map›Paper›PMID 40301840›Full record

ArticleBMC medical genomics2025

Comprehensive chromosomal abnormality detection: integrating CNV-Seq with traditional karyotyping in prenatal diagnostics.

Yan Huang, Shuai Fu, Di Shao, Yanhua Yao, Fangyan Wu, Minrong Yao

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Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yan Huang *Department of Obstetrics, Sanming First Hospital, Sanming, 365000, China.
Shuai Fu *Prenatal Diagnosis and Medical Genetics Center, Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, China.
Di ShaoBGI Genomics, Shenzhen, 518083, China.
Yanhua YaoDepartment of Obstetrics, Sanming First Hospital, Sanming, 365000, China.
Fangyan WuDepartment of Obstetrics, Sanming First Hospital, Sanming, 365000, China. 305722795@qq.com.
Minrong YaoDepartment of Obstetrics, Sanming First Hospital, Sanming, 365000, China. 825699631@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the efficacy of copy number variation sequencing (CNV-Seq) in detecting chromosomal abnormalities in prenatal diagnosis, comparing its performance with traditional karyotype analysis.

methodsA retrospective analysis was conducted on 1001 prenatal samples collected between April 2021 and December 2023. Samples were analyzed using both CNV-Seq and karyotype analysis. The detection rates of chromosomal abnormalities were compared between the two methods across various prenatal diagnostic indications. Clinical follow-up was performed to assess pregnancy outcomes.

resultsCNV-Seq detected chromosomal abnormalities in 89 of 1,001 cases (8.9%), compared to 50 cases (5.0%) identified by traditional karyotyping. CNV-Seq not only detected all abnormalities identified by karyotyping, including common aneuploidies such as trisomy 21 and sex chromosome abnormalities, but also uncovered 53 additional pathogenic submicroscopic CNVs associated with 33 known syndromes. The detection rates of CNV-Seq were significantly higher in high-risk groups, such as those identified by non-invasive prenatal testing (HR-NIPT) and maternal serum screening (HR-MSS), demonstrating superior sensitivity and accuracy in prenatal diagnostics.

conclusionCNV-Seq demonstrated superior sensitivity in detecting chromosomal abnormalities, particularly submicroscopic alterations, compared to traditional karyotyping. The study highlights the potential of CNV-Seq as a valuable tool in prenatal diagnostics, offering improved detection of genetic abnormalities and guiding clinical decision-making. However, a combined approach using both CNV-Seq and karyotype analysis is recommended for comprehensive prenatal genetic screening.

Indexed as

Chromosome AberrationsChromosome DisordersDNA Copy Number VariationsKaryotypingPrenatal DiagnosisAdultFemaleHumansPregnancyRetrospective StudiesChromosomal abnormalityCNV-SeqKaryotypingPrenatal diagnostics

Identifiers

PMID40301840
PMCPMC12042461

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.