Evidence map›Paper›PMID 42449384›Full record

ArticleJournal of translational medicine2026

Diagnostic evaluation and clinical utility of C-MoKa for prenatal genetic testing.

Ying Zhou, Min Xie, Liyun Tian, Juan Cao, Yuxin Zhang, Changshui Chen, Haibo Li, Jiangyang Xue

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Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Ying Zhou *The Central Laboratory of Birth Defects Prevention and Control, The Affiliated Women and Children's Hospital of Ningbo University, 339 Liuting Street, Haishu District, Ningbo, Zhejiang, 315012, China.
Min Xie *The Central Laboratory of Birth Defects Prevention and Control, The Affiliated Women and Children's Hospital of Ningbo University, 339 Liuting Street, Haishu District, Ningbo, Zhejiang, 315012, China.
Liyun TianFetal Medicine Centre, The Affiliated Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, 315012, China.
Juan CaoFetal Medicine Centre, The Affiliated Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, 315012, China.
Yuxin ZhangThe Central Laboratory of Birth Defects Prevention and Control, The Affiliated Women and Children's Hospital of Ningbo University, 339 Liuting Street, Haishu District, Ningbo, Zhejiang, 315012, China.
Changshui ChenNingbo Key Laboratory for the Prevention and Treatment of Embryogenic Diseases, The Affiliated Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, 315012, China.
Haibo LiThe Central Laboratory of Birth Defects Prevention and Control, The Affiliated Women and Children's Hospital of Ningbo University, 339 Liuting Street, Haishu District, Ningbo, Zhejiang, 315012, China. lihaibo-775@163.com.
Jiangyang XueThe Central Laboratory of Birth Defects Prevention and Control, The Affiliated Women and Children's Hospital of Ningbo University, 339 Liuting Street, Haishu District, Ningbo, Zhejiang, 315012, China. jiangyxvet@sina.com.ORCID http://orcid.org/0009-0003-0267-0200

Funding

Innovation Project of Distinguished Medical Team in Ningbo 2022020405Key Technology Breakthrough Program of 'Ningbo Sci-Tech Innovation YONGJIANG 2035' 2024Z221Ningbo Science and Technology Project 2023Z178Public Welfare Science and Technology Program of Ningbo City 2024S146
6 · The paper itself

Abstract

backgroundC-MoKa (Chromosome Conformation-based Karyotyping) is a novel 3D genome mapping platform, that enables simultaneous detection of structural variations (SVs), aneuploidies, copy number variations (CNVs), and uniparental disomy (UPD) in a single test. However, its performance in routine prenatal diagnosis is still unexplored. This study aimed to comprehensively evaluate the diagnostic performance and clinical utility of C-MoKa in prenatal diagnosis, and to assess its technical concordance with standard of care (SOC) testings in prenatal diagnosis.

methodsA two-phase study was designed. In phase 1, 56 retrospective participants with known chromosomal abnormalities (CAs) were recruited, and C-MoKa was performed on their cultured amniotic fluid (AF) samples. Concordance between C-MoKa and known CAs was analyzed. In phase 2, a prospective cohort of 208 participants for prenatal diagnosis were recruited. Samples underwent C-MoKa and karyotyping (KT), with parallel chromosomal microarray analysis (CMA) or improved whole-exome sequencing (iWES). In our study, supplementary copy number probes were enhanced in iWES detection, which could provide ~ 100 kb resolution across the genome, thus either CMA or iWES platform employed was used to assess the CNV detection. Diagnostic yields and concordance were evaluated, and the discordance of SVs and CNVs were further validated by fluorescence in situ hybridization (FISH) and CNV-seq, respectively.

resultsIn the retrospective cohort with known CAs, C-MoKa achieved a 94.6% (53/56) diagnostic yield and 92.8% (52/56) concordance with KT + CNV. In the prospective cohort, its diagnostic yield was 21.2% (44/208), higher than KT (12.5%, 26/208) and CNV (18.3%, 38/208). The diagnostic yield (22.6%, 47/208) was achieved when CNV platform and C-MoKa were used together. C-MoKa exhibited concordance rates of 89.4% (186/208) with KT, 89.9% (187/208) with CNV, and 90.4% (188/208) with KT + CNV. Two SVs identified by C-MoKa but missed by KT were successfully determined by FISH, and five samples with additional CNVs identified by C-MoKa were consistently detected by CNV-seq.

conclusionsOur findings demonstrate that C-MoKa is a highly effective and reliable method for prenatal diagnosis, exhibiting high concordance with SOC techniques. Compared to the conventional application of "KT + CNV" in prenatal setting, the combined use of CNV and C-MoKa appears to maximize the diagnostic yield.

Indexed as

Genetic TestingKaryotypingPrenatal DiagnosisAdultAmniotic FluidChromosome AberrationsDNA Copy Number VariationsFemaleHumansPregnancyRetrospective StudiesClinical utilityC-MoKaDiagnostic yieldPrenatal diagnosisProspectiveRetrospectiveTechnical concordance

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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.