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dbGSRV:一个遗传易感性呼吸道病毒的人工 curated 数据库。

dbGSRV: A manually curated database of genetic susceptibility to respiratory virus.

机构信息

Beijing Institute of Biotechnology, Beijing, China.

出版信息

PLoS One. 2022 Mar 17;17(3):e0262373. doi: 10.1371/journal.pone.0262373. eCollection 2022.

Abstract

Human genetics has been proposed to play an essential role in inter-individual differences in respiratory virus infection occurrence and outcomes. To systematically understand human genetic contributions to respiratory virus infection, we developed the database dbGSRV, a manually curated database that integrated the host genetic susceptibility and severity studies of respiratory viruses scattered over literatures in PubMed. At present, dbGSRV contains 1932 records of genetic association studies relating 1010 unique variants and seven respiratory viruses, manually curated from 168 published articles. Users can access the records by quick searching, batch searching, advanced searching and browsing. Reference information, infection status, population information, mutation information and disease relationship are provided for each record, as well as hyperlinks to public databases in convenient of users accessing more information. In addition, a visual overview of the topological network relationship between respiratory viruses and associated genes is provided. Therefore, dbGSRV offers a convenient resource for researchers to browse and retrieve genetic associations with respiratory viruses, which may inspire future studies and provide new insights in our understanding and treatment of respiratory virus infection. Database URL: http://www.ehbio.com/dbGSRV/front/.

摘要

人类遗传学被认为在个体间呼吸道病毒感染的发生和结果差异中起着至关重要的作用。为了系统地了解人类遗传因素对呼吸道病毒感染的贡献,我们开发了数据库 dbGSRV,这是一个手动整理的数据库,整合了文献中分散的关于呼吸道病毒宿主遗传易感性和严重程度的研究。目前,dbGSRV 包含 1932 条与 1010 个独特变异体和 7 种呼吸道病毒相关的遗传关联研究记录,这些记录均从 168 篇已发表的文章中手动整理而来。用户可以通过快速搜索、批量搜索、高级搜索和浏览来访问这些记录。每个记录都提供了参考信息、感染状态、人群信息、突变信息和疾病关系,以及到方便用户访问更多信息的公共数据库的超链接。此外,还提供了呼吸道病毒和相关基因之间拓扑网络关系的可视化概述。因此,dbGSRV 为研究人员提供了一个方便的资源,用于浏览和检索与呼吸道病毒相关的遗传关联,这可能会激发未来的研究,并为我们理解和治疗呼吸道病毒感染提供新的见解。数据库网址:http://www.ehbio.com/dbGSRV/front/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9319/8929643/8093086a0ba8/pone.0262373.g001.jpg

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