{"title":"【RNA测序在遗传病诊断中的应用进展】。","authors":"Jun An, Kexin Guo, Ping Hu","doi":"10.3760/cma.j.cn511374-20240821-00452","DOIUrl":null,"url":null,"abstract":"<p><p>Next generation sequencing (NGS) technologies, including whole exome sequencing (WES) and whole genome sequencing (WGS), have greatly increased the diagnostic rates for genetic disorders. However, challenges still remain with the interpretation of variants of uncertain significance (VUS), variants in non-coding regions, and understanding of the effects of such variants on downstream genes. As a result, the diagnostic rates have typically ranged from 25% to 57%. RNA sequencing (RNA-seq) can complement DNA sequencing by revealing the functional consequences of genetic variants through the detection of aberrant gene expression, abnormal splicing events, allele-specific expression, and fusion gene expression. This has further increased the diagnostic rate of genetic disorders and enriched their therapeutic strategies. By broadening the scope of conventional genomic diagnostic methods, RNA-seq is poised to become a novel tool for the diagnosis of genetic disorders. This review has explored the methodologies and technical characteristics of RNA-seq by focusing on its recent advancement in clinical diagnosis, applications in undiagnosed genetic disorders, and the main challenges encountered.</p>","PeriodicalId":39319,"journal":{"name":"中华医学遗传学杂志","volume":"42 2","pages":"238-243"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Advancements in the application of RNA sequencing for genetic disorder diagnosis].\",\"authors\":\"Jun An, Kexin Guo, Ping Hu\",\"doi\":\"10.3760/cma.j.cn511374-20240821-00452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Next generation sequencing (NGS) technologies, including whole exome sequencing (WES) and whole genome sequencing (WGS), have greatly increased the diagnostic rates for genetic disorders. However, challenges still remain with the interpretation of variants of uncertain significance (VUS), variants in non-coding regions, and understanding of the effects of such variants on downstream genes. As a result, the diagnostic rates have typically ranged from 25% to 57%. RNA sequencing (RNA-seq) can complement DNA sequencing by revealing the functional consequences of genetic variants through the detection of aberrant gene expression, abnormal splicing events, allele-specific expression, and fusion gene expression. This has further increased the diagnostic rate of genetic disorders and enriched their therapeutic strategies. By broadening the scope of conventional genomic diagnostic methods, RNA-seq is poised to become a novel tool for the diagnosis of genetic disorders. This review has explored the methodologies and technical characteristics of RNA-seq by focusing on its recent advancement in clinical diagnosis, applications in undiagnosed genetic disorders, and the main challenges encountered.</p>\",\"PeriodicalId\":39319,\"journal\":{\"name\":\"中华医学遗传学杂志\",\"volume\":\"42 2\",\"pages\":\"238-243\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华医学遗传学杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/cma.j.cn511374-20240821-00452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华医学遗传学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn511374-20240821-00452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
[Advancements in the application of RNA sequencing for genetic disorder diagnosis].
Next generation sequencing (NGS) technologies, including whole exome sequencing (WES) and whole genome sequencing (WGS), have greatly increased the diagnostic rates for genetic disorders. However, challenges still remain with the interpretation of variants of uncertain significance (VUS), variants in non-coding regions, and understanding of the effects of such variants on downstream genes. As a result, the diagnostic rates have typically ranged from 25% to 57%. RNA sequencing (RNA-seq) can complement DNA sequencing by revealing the functional consequences of genetic variants through the detection of aberrant gene expression, abnormal splicing events, allele-specific expression, and fusion gene expression. This has further increased the diagnostic rate of genetic disorders and enriched their therapeutic strategies. By broadening the scope of conventional genomic diagnostic methods, RNA-seq is poised to become a novel tool for the diagnosis of genetic disorders. This review has explored the methodologies and technical characteristics of RNA-seq by focusing on its recent advancement in clinical diagnosis, applications in undiagnosed genetic disorders, and the main challenges encountered.
期刊介绍:
Chinese Journal of Medical Genetics is a medical journal, founded in 1984, under the supervision of the China Association for Science and Technology, sponsored by the Chinese Medical Association (hosted by Sichuan University), and is now a monthly magazine, which attaches importance to academic orientation, adheres to the scientific, scholarly, advanced, and innovative, and has a certain degree of influence in the industry.
Chinese Journal of Medical Genetics is a journal of Peking University, and is now included in Peking University Journal (Chinese Journal of Humanities and Social Sciences), CSCD Source Journals of Chinese Science Citation Database (with extended version), Statistical Source Journals (China Science and Technology Dissertation Outstanding Journals), Zhi.com (in Chinese), Wipu (in Chinese), Wanfang (in Chinese), CA Chemical Abstracts (U.S.), JST (Japan Science and Technology Science and Technology), and JST (Japan Science and Technology Science and Technology Research Center). ), JST (Japan Science and Technology Agency), Pж (AJ) Abstracts Journal (Russia), Copernicus Index (Poland), Cambridge Scientific Abstracts, Abstracts and Citation Database, Abstracts Magazine, Medical Abstracts, and so on.