Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Institute of Artificial Intelligence, Donghua University, Shanghai, China.
Nucleic Acids Res. 2024 Jan 5;52(D1):D990-D997. doi: 10.1093/nar/gkad876.
Rare variants contribute significantly to the genetic causes of complex traits, as they can have much larger effects than common variants and account for much of the missing heritability in genome-wide association studies. The emergence of UK Biobank scale datasets and accurate gene-level rare variant-trait association testing methods have dramatically increased the number of rare variant associations that have been detected. However, no systematic collection of these associations has been carried out to date, especially at the gene level. To address the issue, we present the Rare Variant Association Repository (RAVAR), a comprehensive collection of rare variant associations. RAVAR includes 95 047 high-quality rare variant associations (76186 gene-level and 18 861 variant-level associations) for 4429 reported traits which are manually curated from 245 publications. RAVAR is the first resource to collect and curate published rare variant associations in an interactive web interface with integrated visualization, search, and download features. Detailed gene and SNP information are provided for each association, and users can conveniently search for related studies by exploring the EFO tree structure and interactive Manhattan plots. RAVAR could vastly improve the accessibility of rare variant studies. RAVAR is freely available for all users without login requirement at http://www.ravar.bio.
稀有变异对复杂性状的遗传原因有重要贡献,因为它们的影响比常见变异大得多,并且解释了全基因组关联研究中很大一部分遗传缺失。英国生物库规模数据集的出现和准确的基因水平稀有变异与性状关联测试方法极大地增加了已检测到的稀有变异关联数量。然而,迄今为止,还没有对这些关联进行系统的收集,尤其是在基因水平上。为了解决这个问题,我们提出了稀有变异关联资源库(RAVAR),这是一个全面的稀有变异关联集合。RAVAR 包含了 95047 个高质量的稀有变异关联(76186 个基因水平和 18861 个变异水平关联),涉及 4429 个已报道的性状,这些关联是从 245 篇文献中手动整理出来的。RAVAR 是第一个以交互式网络界面收集和整理已发表的稀有变异关联的资源,具有集成的可视化、搜索和下载功能。每个关联都提供了详细的基因和 SNP 信息,用户可以通过探索 EFO 树结构和交互式曼哈顿图方便地搜索相关研究。RAVAR 可以极大地提高稀有变异研究的可及性。RAVAR 无需登录即可免费供所有用户使用,网址是 http://www.ravar.bio。