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dbGSRV: A manually curated database of genetic susceptibility to respiratory virus
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 th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929643/ https://www.ncbi.nlm.nih.gov/pubmed/35298480 http://dx.doi.org/10.1371/journal.pone.0262373 |
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author | Li, Ping Zhang, Yan Shen, Wenlong Shi, Shu Zhao, Zhihu |
author_facet | Li, Ping Zhang, Yan Shen, Wenlong Shi, Shu Zhao, Zhihu |
author_sort | Li, Ping |
collection | PubMed |
description | 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/ |
format | Online Article Text |
id | pubmed-8929643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89296432022-03-18 dbGSRV: A manually curated database of genetic susceptibility to respiratory virus Li, Ping Zhang, Yan Shen, Wenlong Shi, Shu Zhao, Zhihu PLoS One Research Article 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/ Public Library of Science 2022-03-17 /pmc/articles/PMC8929643/ /pubmed/35298480 http://dx.doi.org/10.1371/journal.pone.0262373 Text en © 2022 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Li, Ping Zhang, Yan Shen, Wenlong Shi, Shu Zhao, Zhihu dbGSRV: A manually curated database of genetic susceptibility to respiratory virus |
title | dbGSRV: A manually curated database of genetic susceptibility to respiratory virus |
title_full | dbGSRV: A manually curated database of genetic susceptibility to respiratory virus |
title_fullStr | dbGSRV: A manually curated database of genetic susceptibility to respiratory virus |
title_full_unstemmed | dbGSRV: A manually curated database of genetic susceptibility to respiratory virus |
title_short | dbGSRV: A manually curated database of genetic susceptibility to respiratory virus |
title_sort | dbgsrv: a manually curated database of genetic susceptibility to respiratory virus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929643/ https://www.ncbi.nlm.nih.gov/pubmed/35298480 http://dx.doi.org/10.1371/journal.pone.0262373 |
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