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Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach
Using successful genome-wide association results in psychiatry for drug repurposing is an ongoing challenge. Databases collecting drug targets and gene annotations are growing and can be harnessed to shed a new light on psychiatric disorders. We used genome-wide association study (GWAS) summary stat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622077/ https://www.ncbi.nlm.nih.gov/pubmed/28963561 http://dx.doi.org/10.1038/s41598-017-12325-3 |
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author | Gaspar, H. A. Breen, G. |
author_facet | Gaspar, H. A. Breen, G. |
author_sort | Gaspar, H. A. |
collection | PubMed |
description | Using successful genome-wide association results in psychiatry for drug repurposing is an ongoing challenge. Databases collecting drug targets and gene annotations are growing and can be harnessed to shed a new light on psychiatric disorders. We used genome-wide association study (GWAS) summary statistics from the Psychiatric Genetics Consortium (PGC) Schizophrenia working group to build a drug repositioning model for schizophrenia. As sample size increases, schizophrenia GWAS results show increasing enrichment for known antipsychotic drugs, selective calcium channel blockers, and antiepileptics. Each of these therapeutical classes targets different gene subnetworks. We identify 123 Bonferroni-significant druggable genes outside the MHC, and 128 FDR-significant biological pathways related to neurons, synapses, genic intolerance, membrane transport, epilepsy, and mental disorders. These results suggest that, in schizophrenia, current well-powered GWAS results can reliably detect known schizophrenia drugs and thus may hold considerable potential for the identification of new therapeutic leads. Moreover, antiepileptics and calcium channel blockers may provide repurposing opportunities. This study also reveals significant pathways in schizophrenia that were not identified previously, and provides a workflow for pathway analysis and drug repurposing using GWAS results. |
format | Online Article Text |
id | pubmed-5622077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56220772017-10-12 Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach Gaspar, H. A. Breen, G. Sci Rep Article Using successful genome-wide association results in psychiatry for drug repurposing is an ongoing challenge. Databases collecting drug targets and gene annotations are growing and can be harnessed to shed a new light on psychiatric disorders. We used genome-wide association study (GWAS) summary statistics from the Psychiatric Genetics Consortium (PGC) Schizophrenia working group to build a drug repositioning model for schizophrenia. As sample size increases, schizophrenia GWAS results show increasing enrichment for known antipsychotic drugs, selective calcium channel blockers, and antiepileptics. Each of these therapeutical classes targets different gene subnetworks. We identify 123 Bonferroni-significant druggable genes outside the MHC, and 128 FDR-significant biological pathways related to neurons, synapses, genic intolerance, membrane transport, epilepsy, and mental disorders. These results suggest that, in schizophrenia, current well-powered GWAS results can reliably detect known schizophrenia drugs and thus may hold considerable potential for the identification of new therapeutic leads. Moreover, antiepileptics and calcium channel blockers may provide repurposing opportunities. This study also reveals significant pathways in schizophrenia that were not identified previously, and provides a workflow for pathway analysis and drug repurposing using GWAS results. Nature Publishing Group UK 2017-09-29 /pmc/articles/PMC5622077/ /pubmed/28963561 http://dx.doi.org/10.1038/s41598-017-12325-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gaspar, H. A. Breen, G. Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
title | Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
title_full | Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
title_fullStr | Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
title_full_unstemmed | Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
title_short | Drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
title_sort | drug enrichment and discovery from schizophrenia genome-wide association results: an analysis and visualisation approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622077/ https://www.ncbi.nlm.nih.gov/pubmed/28963561 http://dx.doi.org/10.1038/s41598-017-12325-3 |
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