Evidence map›Paper›PMID 40993358›Full record

ArticlePediatric research2026

The utility of CNV analysis in identifying the molecular etiology of pediatric epilepsy patients.

Shuyue Zhang, Xuetao Wang, Jing Meng, Jiaci Li, Yan Dong, Dong Li, Jianbo Shu, Chunquan Cai

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Article in Pediatric research, 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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8 authors.

Shuyue Zhang *Clinical School of Paediatrics, Tianjin Medical University, Tianjin, China.
Xuetao Wang *Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China.
Jing Meng *Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China.
Jiaci LiTianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China.
Yan DongClinical School of Paediatrics, Tianjin Medical University, Tianjin, China.
Dong LiTianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China. lidongtjetyy@163.com.
Jianbo ShuTianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China. jianboshu1981@sina.com.
Chunquan CaiTianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China. cqcns6@126.com.

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6 · The paper itself

Abstract

backgroundCopy number variations (CNVs) are considered to be associated with various neurocognitive disorders, particularly severe pediatric conditions such as intellectual disability and epilepsy. In this study, our aim is to determine the distribution and pathogenicity of CNVs in pediatric epilepsy patients, thereby expanding the spectrum of related syndromes or gene phenotypes, explore potential new epilepsy genes within CNVs.

methodsWe collected clinical data from 425 pediatric epilepsy patients and performed WES, including both pathogenic variant analysis and CNV analysis. Variants were classified per ACMG guidelines. Analyzed the phenotypic characteristics associated with genetic diagnostic results and performed further research and analysis on diagnostic CNVs.

resultsAmong the 425 pediatric epilepsy patients, diagnostic SNVs/indels were detected in 104 cases (24.5%). CNV testing revealed 49 cases with diagnostic CNVs (11.5%). For patients with epilepsy phenotypes unexplained by CNVs, two potential epilepsy genes were suggested through analysis.

conclusionCNV analysis significantly improves the genetic diagnostic yield in pediatric epilepsy patients, achieving a rate of 11.5%. Patients with developmental delay or cardiopathy are more likely to harbor diagnostic CNVs. In-depth analysis of diagnostic CNVs can identify the genetic etiology in epilepsy patients, guide follow-up strategies, and facilitate the discovery of promising candidate epilepsy genes. IMPACT: CNV analysis can enhance the molecular diagnostic capability of epilepsy. Patients with developmental delay or cardiac disease are more likely to have diagnostic CNVs. In-depth analysis of CNVs can help uncover potential candidate epilepsy genes.

Indexed as

DNA Copy Number VariationsEpilepsyAdolescentChildChild, PreschoolExome SequencingFemaleGenetic Predisposition to DiseaseGenetic TestingHumansInfantMalePhenotype

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