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

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/.

Publication types

  • Dataset
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Databases, Factual
  • Databases, Genetic
  • Genetic Association Studies
  • Genetic Predisposition to Disease
  • Humans
  • Virus Diseases* / genetics
  • Viruses* / genetics

Grants and funding

This work was supported by grants from the National Key Research and Development Program of China (2018YFC1200704 and 2018YFA0900801), National Science and Technology Major Project of China (2018ZX103055410) and the National Natural Science Foundation of China (31801087).