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dbGSRV: A manually curated database of genetic susceptibility to respiratory virus.
Li, Ping; Zhang, Yan; Shen, Wenlong; Shi, Shu; Zhao, Zhihu.
  • Li P; Beijing Institute of Biotechnology, Beijing, China.
  • Zhang Y; Beijing Institute of Biotechnology, Beijing, China.
  • Shen W; Beijing Institute of Biotechnology, Beijing, China.
  • Shi S; Beijing Institute of Biotechnology, Beijing, China.
  • Zhao Z; Beijing Institute of Biotechnology, Beijing, China.
PLoS One ; 17(3): e0262373, 2022.
Article in English | MEDLINE | ID: covidwho-1753184
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/.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viruses / Virus Diseases Type of study: Prognostic study / Reviews Topics: Variants Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0262373

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viruses / Virus Diseases Type of study: Prognostic study / Reviews Topics: Variants Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0262373