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Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
Only a small fraction of early drug programs progress to the market, due to safety and efficacy failures, despite extensive efforts to predict safety. Characterizing the effect of natural variation in the genes encoding drug targets should present a powerful approach to predict side effects arising...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450952/ https://www.ncbi.nlm.nih.gov/pubmed/30952858 http://dx.doi.org/10.1038/s41467-019-09407-3 |
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author | Nguyen, Phuong A. Born, David A. Deaton, Aimee M. Nioi, Paul Ward, Lucas D. |
author_facet | Nguyen, Phuong A. Born, David A. Deaton, Aimee M. Nioi, Paul Ward, Lucas D. |
author_sort | Nguyen, Phuong A. |
collection | PubMed |
description | Only a small fraction of early drug programs progress to the market, due to safety and efficacy failures, despite extensive efforts to predict safety. Characterizing the effect of natural variation in the genes encoding drug targets should present a powerful approach to predict side effects arising from drugging particular proteins. In this retrospective analysis, we report a correlation between the organ systems affected by genetic variation in drug targets and the organ systems in which side effects are observed. Across 1819 drugs and 21 phenotype categories analyzed, drug side effects are more likely to occur in organ systems where there is genetic evidence of a link between the drug target and a phenotype involving that organ system, compared to when there is no such genetic evidence (30.0 vs 19.2%; OR = 1.80). This result suggests that human genetic data should be used to predict safety issues associated with drug targets. |
format | Online Article Text |
id | pubmed-6450952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64509522019-04-08 Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects Nguyen, Phuong A. Born, David A. Deaton, Aimee M. Nioi, Paul Ward, Lucas D. Nat Commun Article Only a small fraction of early drug programs progress to the market, due to safety and efficacy failures, despite extensive efforts to predict safety. Characterizing the effect of natural variation in the genes encoding drug targets should present a powerful approach to predict side effects arising from drugging particular proteins. In this retrospective analysis, we report a correlation between the organ systems affected by genetic variation in drug targets and the organ systems in which side effects are observed. Across 1819 drugs and 21 phenotype categories analyzed, drug side effects are more likely to occur in organ systems where there is genetic evidence of a link between the drug target and a phenotype involving that organ system, compared to when there is no such genetic evidence (30.0 vs 19.2%; OR = 1.80). This result suggests that human genetic data should be used to predict safety issues associated with drug targets. Nature Publishing Group UK 2019-04-05 /pmc/articles/PMC6450952/ /pubmed/30952858 http://dx.doi.org/10.1038/s41467-019-09407-3 Text en © The Author(s) 2019 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 Nguyen, Phuong A. Born, David A. Deaton, Aimee M. Nioi, Paul Ward, Lucas D. Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
title | Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
title_full | Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
title_fullStr | Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
title_full_unstemmed | Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
title_short | Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
title_sort | phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450952/ https://www.ncbi.nlm.nih.gov/pubmed/30952858 http://dx.doi.org/10.1038/s41467-019-09407-3 |
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