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A web resource for mining HLA associations with adverse drug reactions: HLA-ADR
Human leukocyte antigens (HLA) are an important family of genes involved in the immune system. Their primary function is to allow the host immune system to be able to distinguish between self and non-self peptides—e.g. derived from invading pathogens. However, these genes have also been implicated i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647400/ https://www.ncbi.nlm.nih.gov/pubmed/27189608 http://dx.doi.org/10.1093/database/baw069 |
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author | Ghattaoraya, Gurpreet S. Dundar, Yenal González-Galarza, Faviel F. Maia, Maria Helena Thomaz Santos, Eduardo José Melo da Silva, Andréa Luciana Soares McCabe, Antony Middleton, Derek Alfirevic, Ana Dickson, Rumona Jones, Andrew R. |
author_facet | Ghattaoraya, Gurpreet S. Dundar, Yenal González-Galarza, Faviel F. Maia, Maria Helena Thomaz Santos, Eduardo José Melo da Silva, Andréa Luciana Soares McCabe, Antony Middleton, Derek Alfirevic, Ana Dickson, Rumona Jones, Andrew R. |
author_sort | Ghattaoraya, Gurpreet S. |
collection | PubMed |
description | Human leukocyte antigens (HLA) are an important family of genes involved in the immune system. Their primary function is to allow the host immune system to be able to distinguish between self and non-self peptides—e.g. derived from invading pathogens. However, these genes have also been implicated in immune-mediated adverse drug reactions (ADRs), presenting a problem to patients, clinicians and pharmaceutical companies. We have previously developed the Allele Frequency Net Database (AFND) that captures the allelic and haplotype frequencies for these HLA genes across many healthy populations from around the world. Here, we report the development and release of the HLA-ADR database that captures data from publications where HLA alleles and haplotypes have been associated with ADRs (e.g. Stevens–Johnson Syndrome/toxic epidermal necrolysis and drug-induced liver injury). HLA-ADR was created by using data obtained through systematic review of the literature and semi-automated literature mining. The database also draws on data already present in AFND allowing users to compare and analyze allele frequencies in both ADR patients and healthy populations. The HLA-ADR database provides clinicians and researchers with a centralized resource from which to investigate immune-mediated ADRs. Database URL: http://www.allelefrequencies.net/hla-adr/. |
format | Online Article Text |
id | pubmed-5647400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56474002017-10-25 A web resource for mining HLA associations with adverse drug reactions: HLA-ADR Ghattaoraya, Gurpreet S. Dundar, Yenal González-Galarza, Faviel F. Maia, Maria Helena Thomaz Santos, Eduardo José Melo da Silva, Andréa Luciana Soares McCabe, Antony Middleton, Derek Alfirevic, Ana Dickson, Rumona Jones, Andrew R. Database (Oxford) Database Tool Human leukocyte antigens (HLA) are an important family of genes involved in the immune system. Their primary function is to allow the host immune system to be able to distinguish between self and non-self peptides—e.g. derived from invading pathogens. However, these genes have also been implicated in immune-mediated adverse drug reactions (ADRs), presenting a problem to patients, clinicians and pharmaceutical companies. We have previously developed the Allele Frequency Net Database (AFND) that captures the allelic and haplotype frequencies for these HLA genes across many healthy populations from around the world. Here, we report the development and release of the HLA-ADR database that captures data from publications where HLA alleles and haplotypes have been associated with ADRs (e.g. Stevens–Johnson Syndrome/toxic epidermal necrolysis and drug-induced liver injury). HLA-ADR was created by using data obtained through systematic review of the literature and semi-automated literature mining. The database also draws on data already present in AFND allowing users to compare and analyze allele frequencies in both ADR patients and healthy populations. The HLA-ADR database provides clinicians and researchers with a centralized resource from which to investigate immune-mediated ADRs. Database URL: http://www.allelefrequencies.net/hla-adr/. Oxford University Press 2016-05-17 /pmc/articles/PMC5647400/ /pubmed/27189608 http://dx.doi.org/10.1093/database/baw069 Text en © The Author(s) 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Ghattaoraya, Gurpreet S. Dundar, Yenal González-Galarza, Faviel F. Maia, Maria Helena Thomaz Santos, Eduardo José Melo da Silva, Andréa Luciana Soares McCabe, Antony Middleton, Derek Alfirevic, Ana Dickson, Rumona Jones, Andrew R. A web resource for mining HLA associations with adverse drug reactions: HLA-ADR |
title | A web resource for mining HLA associations with adverse drug reactions:
HLA-ADR |
title_full | A web resource for mining HLA associations with adverse drug reactions:
HLA-ADR |
title_fullStr | A web resource for mining HLA associations with adverse drug reactions:
HLA-ADR |
title_full_unstemmed | A web resource for mining HLA associations with adverse drug reactions:
HLA-ADR |
title_short | A web resource for mining HLA associations with adverse drug reactions:
HLA-ADR |
title_sort | web resource for mining hla associations with adverse drug reactions:
hla-adr |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647400/ https://www.ncbi.nlm.nih.gov/pubmed/27189608 http://dx.doi.org/10.1093/database/baw069 |
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