Using whole genome sequence findings to assess gene-disease causality in cardiomyopathy and arrhythmia patients.

IF 1.6 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Future cardiology Pub Date : 2023-09-01 Epub Date: 2023-10-13 DOI:10.2217/fca-2023-0082
Aishwarya Rajesh Krishnan, Marci Lb Schwartz, Cherith Somerville, Qiliang Ding, Raymond H Kim
{"title":"Using whole genome sequence findings to assess gene-disease causality in cardiomyopathy and arrhythmia patients.","authors":"Aishwarya Rajesh Krishnan, Marci Lb Schwartz, Cherith Somerville, Qiliang Ding, Raymond H Kim","doi":"10.2217/fca-2023-0082","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> The genetic etiologies of cardiomyopathies and arrhythmias have not been fully elucidated. <b>Materials & methods:</b> Research findings from genome analyses in a cardiomyopathy and arrhythmia cohort were gathered. Gene-disease relationships from two databases were compared with patient phenotypes. A literature review was conducted for genes with limited evidence. <b>Results:</b> Of 43 genes with candidate findings from 18 cases, 23.3% of genes had never been curated, 15.0% were curated for cardiomyopathies, 16.7% for arrhythmias and 31.3% for other conditions. 25.5% of candidate findings were curated for the patient's specific phenotype with 11.8% having definitive evidence. <i>MYH6</i> and <i>TPCN1</i> were flagged for recuration. <b>Conclusion:</b> Findings from genome sequencing in disease cohorts may be useful to guide gene-curation efforts.</p>","PeriodicalId":12589,"journal":{"name":"Future cardiology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/fca-2023-0082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/13 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Aim: The genetic etiologies of cardiomyopathies and arrhythmias have not been fully elucidated. Materials & methods: Research findings from genome analyses in a cardiomyopathy and arrhythmia cohort were gathered. Gene-disease relationships from two databases were compared with patient phenotypes. A literature review was conducted for genes with limited evidence. Results: Of 43 genes with candidate findings from 18 cases, 23.3% of genes had never been curated, 15.0% were curated for cardiomyopathies, 16.7% for arrhythmias and 31.3% for other conditions. 25.5% of candidate findings were curated for the patient's specific phenotype with 11.8% having definitive evidence. MYH6 and TPCN1 were flagged for recuration. Conclusion: Findings from genome sequencing in disease cohorts may be useful to guide gene-curation efforts.

利用全基因组序列研究结果评估心肌病和心律失常患者的基因疾病因果关系。
目的:心肌病和心律失常的遗传病因尚未完全阐明。材料和方法:收集心肌病和心律失常队列的基因组分析研究结果。将来自两个数据库的基因-疾病关系与患者表型进行比较。对证据有限的基因进行了文献综述。结果:在18例患者的43个候选基因中,23.3%的基因从未被筛选过,15.0%的基因被筛选出用于心肌病,16.7%的基因用于心律失常,31.3%的基因用于其他疾病。25.5%的候选发现针对患者的特定表型进行了筛选,11.8%具有明确证据。MYH6和TPCN1被标记为反曲。结论:疾病队列的基因组测序结果可能有助于指导基因管理工作。
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
Future cardiology
Future cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.80
自引率
5.90%
发文量
87
期刊介绍: Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.
×
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