Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS. Methods This nationwide, multi‐center, prospective cohort study, conducted from January 2019 to February 2023, enrolled patients who were clinically diagnosed with FS. The panel targeted 189 genes associated with fever‐induced seizures. Initially, children were categorized into simple febrile seizures (SFS) and complex febrile seizures (CFS) groups based on medical history and clinical evaluation. Variant classification followed the ACMG guidelines. We analyzed the cohort demographic characteristics, potential genetic etiologies across different clinical phenotypes, and clinical utility of genetic diagnosis. Results Our study included 3300 children with FS, and ultimately analyzed sequencing data from 2552 children, of whom 273 received a positive diagnosis. The molecular diagnostic yield was 11% (273 out of 2552 patients), with the top 10 genes accounting for 70.4% of all confirmed genetic diagnoses. No significant difference in molecular diagnostic yield was observed between the SFS (9.5%, 111/1163) and CFS (11.7%, 162/1389) groups ( p = 0.085). Molecular diagnostics had immediate clinical utility, influencing management (76.2%) and informing prognosis (72.6%). The cost of a single panel sequencing for a three‐person family was $240, with a turnaround time of 14 days. Interpretation Molecular diagnosis may improve the diagnosis of FS by identifying genetic fever‐sensitive epilepsies that may be missed by phenotype‐based classification, with implications for risk stratification and individualized management.

Authors

Institutions

Publication Details

Journal
Annals of Clinical and Translational Neurology
Published
2026-11-06
DOI
https://doi.org/10.1002/acn3.70572
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

Qiming Pang, 吴德, Zhang Mengna, Li‐Ping Zou et al.
Annals of Clinical and Translational Neurology
Epilepsy research and treatment
article

Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

Qiming Pang, 吴德, Zhang Mengna, Li‐Ping Zou, Sanqing Xu, 汤春辉, 赵建波, Yuan Wang, Yanli Ma, Baoguang Li, Xiuxia Wang, Xiaohua Li, Jiuwei Li, Lijun Du, Gulixian Abudureyimu, Jia Wang, Xiuyu Shi, Jianmin Liang, Jianxiang Liao, Dan Sun, Yangyang Wang, Xiaoming Liu, Jian Wu
article en

Abstract

ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS. Methods This nationwide, multi‐center, prospective cohort study, conducted from January 2019 to February 2023, enrolled patients who were clinically diagnosed with FS. The panel targeted 189 genes associated with fever‐induced seizures. Initially, children were categorized into simple febrile seizures (SFS) and complex febrile seizures (CFS) groups based on medical history and clinical evaluation. Variant classification followed the ACMG guidelines. We analyzed the cohort demographic characteristics, potential genetic etiologies across different clinical phenotypes, and clinical utility of genetic diagnosis. Results Our study included 3300 children with FS, and ultimately analyzed sequencing data from 2552 children, of whom 273 received a positive diagnosis. The molecular diagnostic yield was 11% (273 out of 2552 patients), with the top 10 genes accounting for 70.4% of all confirmed genetic diagnoses. No significant difference in molecular diagnostic yield was observed between the SFS (9.5%, 111/1163) and CFS (11.7%, 162/1389) groups ( p = 0.085). Molecular diagnostics had immediate clinical utility, influencing management (76.2%) and informing prognosis (72.6%). The cost of a single panel sequencing for a three‐person family was $240, with a turnaround time of 14 days. Interpretation Molecular diagnosis may improve the diagnosis of FS by identifying genetic fever‐sensitive epilepsies that may be missed by phenotype‐based classification, with implications for risk stratification and individualized management.

Annals of Clinical and Translational Neurology
Capital Medical University (CN), Chengde Medical University (CN), Chinese PLA General Hospital (CN), First People's Hospital of Yunnan Province (CN), Second Hospital of Hebei Medical University (CN), Affiliated Hospital of Chengde Medical College (CN), Zhengzhou Children's Hospital (CN), First Hospital of Jilin University (CN), Inner Mongolia Medical College Hospital (CN), First Affiliated Hospital of Chinese PLA General Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN), Xuzhou Children Hospital (CN), Wuhan Children's Hospital (CN), Beijing Children’s Hospital (CN), Shanxi Provincial Children's Hospital (CN), Shenzhen Children's Hospital (CN), Tongji Hospital (CN), Inner Mongolia Medical University (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 15%
Epilepsy research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon