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Genetic variation in human drug-related genes
BACKGROUND: Variability in drug efficacy and adverse effects are observed in clinical practice. While the extent of genetic variability in classic pharmacokinetic genes is rather well understood, the role of genetic variation in drug targets is typically less studied. METHODS: Based on 60,706 human...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740940/ https://www.ncbi.nlm.nih.gov/pubmed/29273096 http://dx.doi.org/10.1186/s13073-017-0502-5 |
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author | Schärfe, Charlotta Pauline Irmgard Tremmel, Roman Schwab, Matthias Kohlbacher, Oliver Marks, Debora Susan |
author_facet | Schärfe, Charlotta Pauline Irmgard Tremmel, Roman Schwab, Matthias Kohlbacher, Oliver Marks, Debora Susan |
author_sort | Schärfe, Charlotta Pauline Irmgard |
collection | PubMed |
description | BACKGROUND: Variability in drug efficacy and adverse effects are observed in clinical practice. While the extent of genetic variability in classic pharmacokinetic genes is rather well understood, the role of genetic variation in drug targets is typically less studied. METHODS: Based on 60,706 human exomes from the ExAC dataset, we performed an in-depth computational analysis of the prevalence of functional variants in 806 drug-related genes, including 628 known drug targets. We further computed the likelihood of 1236 FDA-approved drugs to be affected by functional variants in their targets in the whole ExAC population as well as different geographic sub-populations. RESULTS: We find that most genetic variants in drug-related genes are very rare (f < 0.1%) and thus will likely not be observed in clinical trials. Furthermore, we show that patient risk varies for many drugs and with respect to geographic ancestry. A focused analysis of oncological drug targets indicates that the probability of a patient carrying germline variants in oncological drug targets is, at 44%, high enough to suggest that not only somatic alterations but also germline variants carried over into the tumor genome could affect the response to antineoplastic agents. CONCLUSIONS: This study indicates that even though many variants are very rare and thus likely not observed in clinical trials, four in five patients are likely to carry a variant with possibly functional effects in a target for commonly prescribed drugs. Such variants could potentially alter drug efficacy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0502-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5740940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57409402018-01-03 Genetic variation in human drug-related genes Schärfe, Charlotta Pauline Irmgard Tremmel, Roman Schwab, Matthias Kohlbacher, Oliver Marks, Debora Susan Genome Med Research BACKGROUND: Variability in drug efficacy and adverse effects are observed in clinical practice. While the extent of genetic variability in classic pharmacokinetic genes is rather well understood, the role of genetic variation in drug targets is typically less studied. METHODS: Based on 60,706 human exomes from the ExAC dataset, we performed an in-depth computational analysis of the prevalence of functional variants in 806 drug-related genes, including 628 known drug targets. We further computed the likelihood of 1236 FDA-approved drugs to be affected by functional variants in their targets in the whole ExAC population as well as different geographic sub-populations. RESULTS: We find that most genetic variants in drug-related genes are very rare (f < 0.1%) and thus will likely not be observed in clinical trials. Furthermore, we show that patient risk varies for many drugs and with respect to geographic ancestry. A focused analysis of oncological drug targets indicates that the probability of a patient carrying germline variants in oncological drug targets is, at 44%, high enough to suggest that not only somatic alterations but also germline variants carried over into the tumor genome could affect the response to antineoplastic agents. CONCLUSIONS: This study indicates that even though many variants are very rare and thus likely not observed in clinical trials, four in five patients are likely to carry a variant with possibly functional effects in a target for commonly prescribed drugs. Such variants could potentially alter drug efficacy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0502-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-22 /pmc/articles/PMC5740940/ /pubmed/29273096 http://dx.doi.org/10.1186/s13073-017-0502-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Schärfe, Charlotta Pauline Irmgard Tremmel, Roman Schwab, Matthias Kohlbacher, Oliver Marks, Debora Susan Genetic variation in human drug-related genes |
title | Genetic variation in human drug-related genes |
title_full | Genetic variation in human drug-related genes |
title_fullStr | Genetic variation in human drug-related genes |
title_full_unstemmed | Genetic variation in human drug-related genes |
title_short | Genetic variation in human drug-related genes |
title_sort | genetic variation in human drug-related genes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740940/ https://www.ncbi.nlm.nih.gov/pubmed/29273096 http://dx.doi.org/10.1186/s13073-017-0502-5 |
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