用拷贝数变异测序和全外显子组测序分析283例中国癫痫患者的遗传病因:单中心队列研究。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Junji Hu, Min Xin, Jinxiu Liu, Hongxing Li, Xuemei Li, Longchang Chen, Ping Yang, Haiyan Zhao, Pengfei Sun, Guodong Gao, Hu Feng, Zhongxia Li, Guang Xiao, Yu Li, Kun Li, Xinsheng Xu
{"title":"用拷贝数变异测序和全外显子组测序分析283例中国癫痫患者的遗传病因:单中心队列研究。","authors":"Junji Hu, Min Xin, Jinxiu Liu, Hongxing Li, Xuemei Li, Longchang Chen, Ping Yang, Haiyan Zhao, Pengfei Sun, Guodong Gao, Hu Feng, Zhongxia Li, Guang Xiao, Yu Li, Kun Li, Xinsheng Xu","doi":"10.1186/s12920-025-02184-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The genetic etiology of epilepsy is highly heterogeneous and complex. Copy number variation sequencing (CNV-seq) and whole exome sequencing (WES) have emerged as effective tools for identifying genetic causes in patients with unexplained epilepsy. This study aimed to investigate the genetic etiology, evaluate the diagnostic utility of concurrent CNV-seq and WES, and provide evidence for precision medicine and genetic counseling.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study of 283 patients with unexplained epilepsy undergoing WES and 228 patients undergoing CNV-seq, with partial cohort overlap (n = 228). The diagnostic efficiency, its correlation with demographic information, and the clinical impacts of gene diagnostic results on clinical decision-making were assessed.</p><p><strong>Results: </strong>A genetic diagnosis was obtained in 81 patients (28.6%). Among these, 67 (23.7%) had SNVs/Indels, 13 (4.6%) exhibited CNVs, and one (0.3%) displayed dual molecular findings of pathogenic SNV and CNV. The combined approach increased diagnostic yield to 30.7% (70/228) compared to standalone WES (27.9%, 79/283) or CNV-seq (6.1%, 14/228). Trio-based whole exome sequencing (trio-WES) demonstrated a higher diagnostic rate (33.3%, 7/21 vs. 27.5%, 72/262 proband-only WES). The predominant pathogenic genes identified were SCN1A (n = 14), PRRT2 (n = 5), GABRG2 (n = 4), and TSC1 (n = 4). Twenty-four novel SNVs/Indels were identified. Diagnostic yield correlated significantly with early seizure onset [< 3 year: 41.5% vs. ≥3 year: 20.9%; OR (95%CI): 2.685 (1.581-4.560), p = 2.569 × 10<sup>- 4</sup>] and the presence of other comorbidities [45.9% vs. 17.4%; OR (95%CI): 4.023 (2.338-6.922), p = 4.950 × 10<sup>- 7</sup>]. Genetic findings directly informed anti-seizure medication optimization in 42.0% (34/81) of diagnosed cases.</p><p><strong>Conclusions: </strong>This dual sequencing approach enhances diagnostic yield in unexplained epilepsy, with trio-WES providing incremental yield. The strong genotype-phenotype correlations underscore the prognostic value of molecular diagnosis, while the 42% clinical utility rate highlights its translational relevance. Our findings expand the epilepsy mutational spectrum and enhance genetic understanding of epilepsy.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"117"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic etiology of 283 Chinese individuals with epilepsy using copy number variation sequencing and whole exome sequencing: a single-center cohort study.\",\"authors\":\"Junji Hu, Min Xin, Jinxiu Liu, Hongxing Li, Xuemei Li, Longchang Chen, Ping Yang, Haiyan Zhao, Pengfei Sun, Guodong Gao, Hu Feng, Zhongxia Li, Guang Xiao, Yu Li, Kun Li, Xinsheng Xu\",\"doi\":\"10.1186/s12920-025-02184-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The genetic etiology of epilepsy is highly heterogeneous and complex. Copy number variation sequencing (CNV-seq) and whole exome sequencing (WES) have emerged as effective tools for identifying genetic causes in patients with unexplained epilepsy. This study aimed to investigate the genetic etiology, evaluate the diagnostic utility of concurrent CNV-seq and WES, and provide evidence for precision medicine and genetic counseling.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study of 283 patients with unexplained epilepsy undergoing WES and 228 patients undergoing CNV-seq, with partial cohort overlap (n = 228). The diagnostic efficiency, its correlation with demographic information, and the clinical impacts of gene diagnostic results on clinical decision-making were assessed.</p><p><strong>Results: </strong>A genetic diagnosis was obtained in 81 patients (28.6%). Among these, 67 (23.7%) had SNVs/Indels, 13 (4.6%) exhibited CNVs, and one (0.3%) displayed dual molecular findings of pathogenic SNV and CNV. The combined approach increased diagnostic yield to 30.7% (70/228) compared to standalone WES (27.9%, 79/283) or CNV-seq (6.1%, 14/228). Trio-based whole exome sequencing (trio-WES) demonstrated a higher diagnostic rate (33.3%, 7/21 vs. 27.5%, 72/262 proband-only WES). The predominant pathogenic genes identified were SCN1A (n = 14), PRRT2 (n = 5), GABRG2 (n = 4), and TSC1 (n = 4). Twenty-four novel SNVs/Indels were identified. Diagnostic yield correlated significantly with early seizure onset [< 3 year: 41.5% vs. ≥3 year: 20.9%; OR (95%CI): 2.685 (1.581-4.560), p = 2.569 × 10<sup>- 4</sup>] and the presence of other comorbidities [45.9% vs. 17.4%; OR (95%CI): 4.023 (2.338-6.922), p = 4.950 × 10<sup>- 7</sup>]. Genetic findings directly informed anti-seizure medication optimization in 42.0% (34/81) of diagnosed cases.</p><p><strong>Conclusions: </strong>This dual sequencing approach enhances diagnostic yield in unexplained epilepsy, with trio-WES providing incremental yield. The strong genotype-phenotype correlations underscore the prognostic value of molecular diagnosis, while the 42% clinical utility rate highlights its translational relevance. Our findings expand the epilepsy mutational spectrum and enhance genetic understanding of epilepsy.</p>\",\"PeriodicalId\":8915,\"journal\":{\"name\":\"BMC Medical Genomics\",\"volume\":\"18 1\",\"pages\":\"117\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medical Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12920-025-02184-7\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12920-025-02184-7","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

背景:癫痫的遗传病因是高度异质性和复杂性的。拷贝数变异测序(CNV-seq)和全外显子组测序(WES)已成为鉴定不明原因癫痫患者遗传原因的有效工具。本研究旨在探讨遗传病因,评价CNV-seq和WES同时检测的诊断价值,为精准医学和遗传咨询提供依据。方法:我们对283例不明原因癫痫患者进行WES和228例CNV-seq进行回顾性队列研究,部分队列重叠(n = 228)。评估诊断效率、与人口学信息的相关性以及基因诊断结果对临床决策的影响。结果:遗传诊断81例(28.6%)。其中,67例(23.7%)存在SNV /Indels, 13例(4.6%)存在CNV, 1例(0.3%)存在致病性SNV和CNV的双重分子发现。与单独的WES(27.9%, 79/283)或CNV-seq(6.1%, 14/228)相比,联合方法将诊断率提高到30.7%(70/228)。基于trio-WES的全外显子组测序(trio-WES)的诊断率更高(33.3%,7/21 vs. 27.5%, 72/262)。鉴定的主要致病基因为SCN1A (n = 14)、PRRT2 (n = 5)、GABRG2 (n = 4)和TSC1 (n = 4)。共鉴定出24个新的snv / indel。诊断率与早期癫痫发作[- 4]和其他合并症的存在显著相关[45.9% vs. 17.4%;或(95% ci): 4.023 (2.338 - -6.922), p = 4.950×10 - 7]。在42.0%(34/81)的确诊病例中,基因发现直接影响抗癫痫药物的优化。结论:这种双测序方法提高了不明原因癫痫的诊断率,三次wes增加了诊断率。强烈的基因型-表型相关性强调了分子诊断的预后价值,而42%的临床效用率强调了其翻译相关性。我们的发现扩大了癫痫的突变谱,增强了对癫痫的遗传理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic etiology of 283 Chinese individuals with epilepsy using copy number variation sequencing and whole exome sequencing: a single-center cohort study.

Background: The genetic etiology of epilepsy is highly heterogeneous and complex. Copy number variation sequencing (CNV-seq) and whole exome sequencing (WES) have emerged as effective tools for identifying genetic causes in patients with unexplained epilepsy. This study aimed to investigate the genetic etiology, evaluate the diagnostic utility of concurrent CNV-seq and WES, and provide evidence for precision medicine and genetic counseling.

Methods: We conducted a retrospective cohort study of 283 patients with unexplained epilepsy undergoing WES and 228 patients undergoing CNV-seq, with partial cohort overlap (n = 228). The diagnostic efficiency, its correlation with demographic information, and the clinical impacts of gene diagnostic results on clinical decision-making were assessed.

Results: A genetic diagnosis was obtained in 81 patients (28.6%). Among these, 67 (23.7%) had SNVs/Indels, 13 (4.6%) exhibited CNVs, and one (0.3%) displayed dual molecular findings of pathogenic SNV and CNV. The combined approach increased diagnostic yield to 30.7% (70/228) compared to standalone WES (27.9%, 79/283) or CNV-seq (6.1%, 14/228). Trio-based whole exome sequencing (trio-WES) demonstrated a higher diagnostic rate (33.3%, 7/21 vs. 27.5%, 72/262 proband-only WES). The predominant pathogenic genes identified were SCN1A (n = 14), PRRT2 (n = 5), GABRG2 (n = 4), and TSC1 (n = 4). Twenty-four novel SNVs/Indels were identified. Diagnostic yield correlated significantly with early seizure onset [< 3 year: 41.5% vs. ≥3 year: 20.9%; OR (95%CI): 2.685 (1.581-4.560), p = 2.569 × 10- 4] and the presence of other comorbidities [45.9% vs. 17.4%; OR (95%CI): 4.023 (2.338-6.922), p = 4.950 × 10- 7]. Genetic findings directly informed anti-seizure medication optimization in 42.0% (34/81) of diagnosed cases.

Conclusions: This dual sequencing approach enhances diagnostic yield in unexplained epilepsy, with trio-WES providing incremental yield. The strong genotype-phenotype correlations underscore the prognostic value of molecular diagnosis, while the 42% clinical utility rate highlights its translational relevance. Our findings expand the epilepsy mutational spectrum and enhance genetic understanding of epilepsy.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信