Evidence map›Paper›PMID 40598400›Full record

ArticleEuropean journal of medical research2025

Etiological diagnosis of miscarriage by combining use of chromosomal microarray analysis and whole-exome sequencing.

Jianlong Zhuang, Wanyu Fu, Ling Gu, Xiaofang Ye, Junyu Wang, Chunnuan Chen

Abstract read
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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 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.

Jianlong ZhuangPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Quanzhou, 362000, Fujian, China. 415913261@qq.com.
Wanyu FuPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Quanzhou, 362000, Fujian, China.
Ling GuDepartment of Bioinformatics, Berry Genomics Corporation, Beijing, 102200, China.
Xiaofang YeDepartment of Neurology, Rare Disease Medical Center, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Junyu WangPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Quanzhou, 362000, Fujian, China. 86813685@qq.com.
Chunnuan ChenDepartment of Neurology, Rare Disease Medical Center, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China. chenchunnuan1983@aliyun.com.

Funding

Fujian Provincial Health Technology Project 2020QNB045Huaqiao University Joint of Hospital and University Innovation Project 2023YX001Quanzhou Science and Technology Program of China 2023NS068Science and Technology Innovation Joint Fund project of Fujian Province 2024Y9459
6 · The paper itself

Abstract

backgroundChromosomal microarray analysis (CMA) is being increasingly used to reveal the genetic causes of miscarriage. Nevertheless, approximately half of the time it cannot produce a clear diagnosis. This study aims to investigate the genetic etiology of miscarriage by combining the use of CMA and whole-exome sequencing (WES).

methodsA total of 172 pregnant Chinese women who had suffered miscarriages were enrolled in this study. However, those who had received assisted reproductive services were excluded. Among them, 32 cases without pathogenic copy number variants were further subject to WES analysis, then the relevant variants were confirmed by Sanger sequencing.

resultsOf the 172 enrolled subjects, CMA was successfully performed in 158 cases, with a detection rate of 91.86%. Among them, 82 cases had chromosomal numerical abnormalities. The most common abnormality was chromosome aneuploidy, followed by triploidy and mosaicism. In addition, nine cases carrying pathogenic copy number variants were also identified. Furthermore, WES detection revealed 11 candidate genes that may have caused miscarriage, including the F5, ANXA5, FGA, NSDHL, ATP8B1, JAK2, CC2D2A, FOXP1, CALCRL, TLE6, and CHRNA1 genes.

conclusionsOur findings strengthen that CMA is a rapid and effective genetic etiology diagnosis tool for miscarriages, producing the highest chromosomal abnormality detection rate at a gestational age of 10-11

Indexed as

Abortion, SpontaneousExome SequencingMicroarray AnalysisAdultChromosome AberrationsDNA Copy Number VariationsFemaleHumansPregnancyYoung AdultChromosomal microarray analysisEtiological diagnosisMiscarriageMolecular diagnosisWhole-exome sequencing

Identifiers

PMID40598400
PMCPMC12211651

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