Evidence map›Paper›PMID 41022933›Full record

ArticleScientific reports2025

Clinical application of CNV-seq for diagnosing abnormal brain development in children.

Shaohua Zhu, Shibing Cheng, Chunyang Jia, Pengwu Lin, Peng Zhang, Jie Wang, Xuefeng Lei, Furong Liu, Xuan Feng

Abstract read
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Article in Scientific reports, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shaohua ZhuMedical Genetic Centre, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, 730050, China.
Shibing ChengGansu Provincial Clinical Research Center for Birth Defects and Rare Diseases, Lanzhou, 730050, China.
Chunyang JiaMedical Genetic Centre, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, 730050, China.
Pengwu LinMedical Genetic Centre, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, 730050, China.
Peng ZhangMedical Genetic Centre, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, 730050, China.
Jie WangGansu Provincial Clinical Research Center for Birth Defects and Rare Diseases, Lanzhou, 730050, China.
Xuefeng LeiGansu Provincial Clinical Research Center for Birth Defects and Rare Diseases, Lanzhou, 730050, China.
Furong LiuGansu Provincial Clinical Research Center for Birth Defects and Rare Diseases, Lanzhou, 730050, China. 76108060@qq.com.
Xuan FengMedical Genetic Centre, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, 730050, China. fengxuan1212@sina.com.

Funding

Clinical application of non-invasive prenatal genetic testing technology in chromosomal microdeletion and microduplication syndrome 2017-04-50Gansu Natural Science Foundation 25JRRA333Lanzhou Youth Science and Technology Talent Innovation Project 2024-QN-31Major project of Gansu Maternal and Child Health Hospital GSFY-2021Scientific Research Project of Gansu Provincial Health Commission GSWSKY2024-24
6 · The paper itself

Abstract

The current study evaluates the diagnostic utility of copy number variation sequencing (CNV-Seq) in elucidating the genetic etiology of abnormal brain development (ABD) in pediatric patients. We analyzed 130 children diagnosed with ABD at Gansu Maternity and Child-care Hospital between December 2018 and October 2023. Patients were categorized into non-syndromic (NS-ABD) and syndromic (S-ABD) groups, and CNV-Seq was performed to identify chromosomal aneuploidies and copy number variations (CNVs). Of the 130 cases, 42 (32.3%) exhibited genetic abnormalities, comprising 3 aneuploidies (2.3%; 2 trisomy 21, 1 trisomy 18) and 39 CNVs (30%). In the NS-ABD group (n = 15), abnormalities included 1 aneuploidy (6.7%), 4 pathogenic CNVs (pCNVs; 26.7%), and 10 variants of uncertain significance (VUS; 66.7%). The S-ABD group (n = 27) showed 2 aneuploidies (7.4%), 19 pCNVs (70.4%), and 6 VUS (22.2%). Chi-square analysis confirmed a significantly higher pCNV detection rate in the S-ABD group compared to the NS-ABD group (χ² = 40.03, P < 0.001). CNV-Seq demonstrates a high diagnostic yield for ABD, particularly in S-ABD patients, where the detection rate of pCNVs is significantly elevated. NS-ABD patients, with subtler clinical phenotypes and lower positive detection rates, are at risk of underdiagnosis in clinical practice. Increased attention to NS-ABD cases, alongside timely prenatal diagnosis and genetic counseling, is essential to improve clinical outcomes.

Indexed as

AneuploidyBrainDNA Copy Number VariationsAdolescentChildChild, PreschoolCongenital AbnormalitiesFemaleHumansInfantInfant, NewbornMaleAbnormal brain development (ABD)AneuploidyCNV-seqCopy number variation (CNV)

Identifiers

PMID41022933
PMCPMC12480442

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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.