{"title":"2261例中国癫痫和智力障碍儿童的遗传谱特征。","authors":"Nan Pang, Chen Chen, Lifen Yang, Ciliu Zhang, Xiaolu Deng, Li Yang, Leilei Mao, Fangyun Liu, Guoli Wang, Haolin Duan, Xiaole Wang, Fei Yin, Fang He, Jing Peng","doi":"10.1186/s12916-025-04220-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Epilepsy (EP) and intellectual disability (ID) are two highly correlated diseases that seriously impact neurodevelopment in children. Precision diagnosis of EP and ID remains challenging due to their clinical and genetic heterogeneity, necessitating a profound understanding of disease characteristics.</p><p><strong>Methods: </strong>We provide a clinical and genetic landscape of 2261 Chinese patients performed chromosome microarray analysis (CMA) or next-generation sequencing to uncover causal copy number variants (CNVs) or single-nucleotide variants (SNVs). Patients were stratified into three groups: EP (374 cases), ID (863 cases), and EP + ID (1024 cases).</p><p><strong>Results: </strong>We reported a 24.3% diagnostic yield from 496 causal CNVs and SNVs, including 182 novel variants, in which updated 33 previously reported VUS. Significant intergroup differences emerged: EP patients were predominantly caused by autosomal dominant SNVs, showing the highest rates of incomplete penetrance and family history. ID patients were more likely caused by CNVs and autosomal recessive SNVs, with the highest genetic heterogeneity. EP + ID patients displayed the earliest onset ages and highest diagnostic yields. We prioritized genes by diagnostic efficiency and revealed that X-linked SNVs disproportionately affected females, particularly in the EP + ID group, under current diagnostic paradigms. This real-world dataset informs genetic counseling, testing strategies, precision therapies, and long-term management for EP/ID.</p><p><strong>Conclusions: </strong>The clinical and genetic profiles from this study provided a reliable baseline reference for diagnosing EP and ID.</p>","PeriodicalId":9188,"journal":{"name":"BMC Medicine","volume":"23 1","pages":"388"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219049/pdf/","citationCount":"0","resultStr":"{\"title\":\"The genetic spectrum features of 2261 Chinese children with epilepsy and intellectual disability.\",\"authors\":\"Nan Pang, Chen Chen, Lifen Yang, Ciliu Zhang, Xiaolu Deng, Li Yang, Leilei Mao, Fangyun Liu, Guoli Wang, Haolin Duan, Xiaole Wang, Fei Yin, Fang He, Jing Peng\",\"doi\":\"10.1186/s12916-025-04220-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Epilepsy (EP) and intellectual disability (ID) are two highly correlated diseases that seriously impact neurodevelopment in children. Precision diagnosis of EP and ID remains challenging due to their clinical and genetic heterogeneity, necessitating a profound understanding of disease characteristics.</p><p><strong>Methods: </strong>We provide a clinical and genetic landscape of 2261 Chinese patients performed chromosome microarray analysis (CMA) or next-generation sequencing to uncover causal copy number variants (CNVs) or single-nucleotide variants (SNVs). Patients were stratified into three groups: EP (374 cases), ID (863 cases), and EP + ID (1024 cases).</p><p><strong>Results: </strong>We reported a 24.3% diagnostic yield from 496 causal CNVs and SNVs, including 182 novel variants, in which updated 33 previously reported VUS. Significant intergroup differences emerged: EP patients were predominantly caused by autosomal dominant SNVs, showing the highest rates of incomplete penetrance and family history. ID patients were more likely caused by CNVs and autosomal recessive SNVs, with the highest genetic heterogeneity. EP + ID patients displayed the earliest onset ages and highest diagnostic yields. We prioritized genes by diagnostic efficiency and revealed that X-linked SNVs disproportionately affected females, particularly in the EP + ID group, under current diagnostic paradigms. This real-world dataset informs genetic counseling, testing strategies, precision therapies, and long-term management for EP/ID.</p><p><strong>Conclusions: </strong>The clinical and genetic profiles from this study provided a reliable baseline reference for diagnosing EP and ID.</p>\",\"PeriodicalId\":9188,\"journal\":{\"name\":\"BMC Medicine\",\"volume\":\"23 1\",\"pages\":\"388\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219049/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12916-025-04220-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12916-025-04220-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
The genetic spectrum features of 2261 Chinese children with epilepsy and intellectual disability.
Background: Epilepsy (EP) and intellectual disability (ID) are two highly correlated diseases that seriously impact neurodevelopment in children. Precision diagnosis of EP and ID remains challenging due to their clinical and genetic heterogeneity, necessitating a profound understanding of disease characteristics.
Methods: We provide a clinical and genetic landscape of 2261 Chinese patients performed chromosome microarray analysis (CMA) or next-generation sequencing to uncover causal copy number variants (CNVs) or single-nucleotide variants (SNVs). Patients were stratified into three groups: EP (374 cases), ID (863 cases), and EP + ID (1024 cases).
Results: We reported a 24.3% diagnostic yield from 496 causal CNVs and SNVs, including 182 novel variants, in which updated 33 previously reported VUS. Significant intergroup differences emerged: EP patients were predominantly caused by autosomal dominant SNVs, showing the highest rates of incomplete penetrance and family history. ID patients were more likely caused by CNVs and autosomal recessive SNVs, with the highest genetic heterogeneity. EP + ID patients displayed the earliest onset ages and highest diagnostic yields. We prioritized genes by diagnostic efficiency and revealed that X-linked SNVs disproportionately affected females, particularly in the EP + ID group, under current diagnostic paradigms. This real-world dataset informs genetic counseling, testing strategies, precision therapies, and long-term management for EP/ID.
Conclusions: The clinical and genetic profiles from this study provided a reliable baseline reference for diagnosing EP and ID.
期刊介绍:
BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.