Evidence map›Paper›PMID 41108211›Full record

ArticlePrenatal diagnosis2026

Prenatal Exome Sequencing Analysis in Fetuses With Structural Anomalies: A Multicenter Prospective Cohort Study With Practical Implications.

Yulin Jiang, Haibo Li, Xiangyu Zhu, Liangpu Xu, Ying Chang, Fengqun Dong, Jianping Xiao, Jian Gao, Minyue Dong, Ying Peng and 12 more

Abstract readMulticenter Study
In one paragraph

Article in Prenatal diagnosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Yulin JiangDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.ORCID 0000-0001-5731-7082
Haibo LiThe Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, Zhejiang, China.ORCID 0000-0002-9309-6632
Xiangyu ZhuCenter for Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Liangpu XuMedical Genetic Diagnosis and Therapy Center of Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Provincial Key Laboratory of Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, Fujian, China.
Ying ChangDepartment of Prenatal Diagnosis, Tianjin Center Hospital of Obstetrics and Gynecology, Tianjin, China.
Fengqun DongDepartment of Fetal Heart Ultrasonography, Hebei Maternity Hospital, Shijiazhuang, Hebei, China.
Jianping XiaoDepartment of Gynecology and Obstetrics, Wuxi Maternal and Child Health Care Hospital, Nanjing Medical University, Wuxi, Jiangsu, China.ORCID 0000-0001-8403-6913
Jian GaoDepartment of Reproductive Genetics, Hebei General Hospital, Shijiazhuang, Hebei, China.
Minyue DongDepartment of Reproductive Genetics, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0002-4344-7924
Ying PengDepartment of Medical Genetics, National Health Commission Key Laboratory of Birth Defects Research, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China.
Hua JinJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Ting WangCenter for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Xiaoxiao XieDepartment of Gynecology and Obstetrics, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Lin ZhangPrenatal Diagnosis Center, Peking University People's Hospital, Beijing, China.
Hongmei ZhuangDepartment of Medical Genetic, Zhangzhou Municipal Hospital of Fujian Province, Zhangzhou, Fujian, China.
Na HaoDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Xiya ZhouDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Hongna WangBecreative Lab Co. Ltd, Beijing, China.ORCID 0000-0003-3785-8548
Ying YouZhejiang Biosan Biochemical Technologies Co. Ltd., Hangzhou, Zhejiang, China.
Kun MaZhejiang Biosan Biochemical Technologies Co. Ltd., Hangzhou, Zhejiang, China.
Rui XiaoNational Engineering Laboratory for Key Technology of Birth Defect Control and Prevention, Screening and Diagnostic R&D Center, Hangzhou, Zhejiang, China.
Qingwei QiDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.ORCID 0000-0001-6072-982X

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-076National Key Clinical Specialty Construction Project U114000National Key Research and Development Program of China 2021YFC1005300National Key Research and Development Program of China 2021YFC1005301
6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic value of prenatal exome sequencing (ES) integrated with copy number variant (CNV) and single nucleotide variant (SNV) analysis (ES-CNV/SNV) in fetuses with structural anomalies following negative chromosomal microarray analysis (CMA) and karyotyping, and to delineate the practical challenges encountered during its clinical implementation in prenatal settings.

methodsIn this multicenter prospective cohort study (2018-2021), 275 fetuses with structural anomalies were categorized into three groups: sporadic single-system (n = 128), sporadic multisystem (n = 88), and recurrent anomalies (n = 59). Trio-based ES-CNV/SNV analysis was used to identify SNVs, CNVs, or compound heterozygous CNV/SNV combinations- the latter being defined as two distinct pathogenic variants (a CNV and an SNV) coexisting within the same gene, resulting in biallelic gene dysfunction, which is pivotal for autosomal recessive disorders. Incremental diagnostic yields across groups, the incidence of CNV/SNV combinations, and expanded prenatal phenotypic-genotypic correlations were analyzed.

resultsES-CNV/SNV analysis improved the diagnostic yield to 29.45% (81/275) compared with conventional chromosome analysis combined with CMA in fetuses with malformations. The highest diagnostic yield was observed in the recurrent anomaly group (40.68%, 24/59), followed by the multisystem (28.41%, 25/88) and single-system anomaly groups (25.00%, 32/128). Notably, 1.45% of cases harbored compound CNV/SNV combinations, underscoring the diagnostic potential of ES-CNV/SNV in autosomal recessive disorders. In addition, this study expanded prenatal phenotypic-genotypic correlations for 36 variants and five genes.

conclusionES-CNV/SNV analysis enhances prenatal diagnostic precision by detecting compound CNV/SNV combinations that are undetectable by standard testing. Recurrent anomalies demonstrated a greater diagnostic benefit than sporadic single-system or multisystem anomalies, underscoring the utility of this method in high-risk cases. This study broadens the prenatal phenotypic spectrum and deepens our understanding of developmental mechanisms.

Indexed as

Congenital AbnormalitiesExome SequencingPrenatal DiagnosisAdultCohort StudiesDNA Copy Number VariationsFemaleFetusHumansPregnancyProspective StudiesCNV/SNVexome sequencingfetal phenotypeHuman Phenotype Ontologyprenatal diagnosisrecurrent anomaliessporadic multisystem anomaliessporadic single‐system anomalies

Identifiers

PMID41108211
PMCPMC12819912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.