NGS data analysis for molecular diagnosis of Inborn Errors of Immunity

IF 7.4 2区 医学 Q1 IMMUNOLOGY
{"title":"NGS data analysis for molecular diagnosis of Inborn Errors of Immunity","authors":"","doi":"10.1016/j.smim.2024.101901","DOIUrl":null,"url":null,"abstract":"<div><div>Inborn errors of immunity (IEI) encompass a group of disorders with a strong genetic component. Prompt and accurate diagnosis of these disorders is essential for effective clinical management. Next-generation sequencing (NGS) has significantly enhanced the diagnostic process by offering a comprehensive and scalable approach for identifying genomic variations causal for these disorders. Nevertheless, the bioinformatics analysis of NGS data poses several challenges. In this review, we explore these challenges and share our insights on addressing them, aiming to improve the overall diagnostic yield.</div></div>","PeriodicalId":49546,"journal":{"name":"Seminars in Immunology","volume":null,"pages":null},"PeriodicalIF":7.4000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Immunology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1044532324000393","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Inborn errors of immunity (IEI) encompass a group of disorders with a strong genetic component. Prompt and accurate diagnosis of these disorders is essential for effective clinical management. Next-generation sequencing (NGS) has significantly enhanced the diagnostic process by offering a comprehensive and scalable approach for identifying genomic variations causal for these disorders. Nevertheless, the bioinformatics analysis of NGS data poses several challenges. In this review, we explore these challenges and share our insights on addressing them, aiming to improve the overall diagnostic yield.
用于先天性免疫错误分子诊断的 NGS 数据分析
先天性免疫错误(IEI)包括一组遗传因素很强的疾病。及时准确地诊断这些疾病对有效的临床治疗至关重要。下一代测序(NGS)提供了一种全面、可扩展的方法来识别导致这些疾病的基因组变异,从而极大地改进了诊断过程。然而,NGS 数据的生物信息学分析带来了一些挑战。在这篇综述中,我们将探讨这些挑战,并分享我们应对这些挑战的见解,以提高整体诊断率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Seminars in Immunology
Seminars in Immunology 医学-免疫学
CiteScore
11.40
自引率
1.30%
发文量
50
审稿时长
89 days
期刊介绍: Seminars in Immunology is a specialized review journal that serves as a valuable resource for scientists in the field of immunology. The journal's approach is thematic, with each issue dedicated to a specific topic of significant interest to immunologists. It covers a wide range of research areas, from the molecular and cellular foundations of the immune response to the potential for its manipulation, highlighting recent advancements in these areas. Each thematic issue is curated by a guest editor, who is recognized as an expert in the field internationally. The content of each issue typically includes six to eight authoritative invited reviews, which delve into various aspects of the chosen topic. The goal of these reviews is to provide a comprehensive, coherent, and engaging overview of the subject matter, ensuring that the information is presented in a timely manner to maintain its relevance. The journal's commitment to quality and timeliness is further supported by its inclusion in the Scopus database, which is a leading abstract and citation database of peer-reviewed literature. Being indexed in Scopus helps to ensure that the journal's content is accessible to a broad audience of researchers and professionals in immunology and related fields.
×
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:481959085
Book学术官方微信