Cargando…
Integrating rare genetic variants into pharmacogenetic drug response predictions
BACKGROUND: Variability in genes implicated in drug pharmacokinetics or drug response can modulate treatment efficacy or predispose to adverse drug reactions. Besides common genetic polymorphisms, recent sequencing projects revealed a plethora of rare genetic variants in genes encoding proteins invo...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968569/ https://www.ncbi.nlm.nih.gov/pubmed/29793534 http://dx.doi.org/10.1186/s40246-018-0157-3 |
_version_ | 1783325795920379904 |
---|---|
author | Ingelman-Sundberg, Magnus Mkrtchian, Souren Zhou, Yitian Lauschke, Volker M. |
author_facet | Ingelman-Sundberg, Magnus Mkrtchian, Souren Zhou, Yitian Lauschke, Volker M. |
author_sort | Ingelman-Sundberg, Magnus |
collection | PubMed |
description | BACKGROUND: Variability in genes implicated in drug pharmacokinetics or drug response can modulate treatment efficacy or predispose to adverse drug reactions. Besides common genetic polymorphisms, recent sequencing projects revealed a plethora of rare genetic variants in genes encoding proteins involved in drug metabolism, transport, and response. RESULTS: To understand the global importance of rare pharmacogenetic gene variants, we mapped the variability in 208 pharmacogenes by analyzing exome sequencing data from 60,706 unrelated individuals and estimated the importance of rare and common genetic variants using a computational prediction framework optimized for pharmacogenetic assessments. Our analyses reveal that rare pharmacogenetic variants were strongly enriched in mutations predicted to cause functional alterations. For more than half of the pharmacogenes, rare variants account for the entire genetic variability. Each individual harbored on average a total of 40.6 putatively functional variants, rare variants accounting for 10.8% of these. Overall, the contribution of rare variants was found to be highly gene- and drug-specific. Using warfarin, simvastatin, voriconazole, olanzapine, and irinotecan as examples, we conclude that rare genetic variants likely account for a substantial part of the unexplained inter-individual differences in drug metabolism phenotypes. CONCLUSIONS: Combined, our data reveal high gene and drug specificity in the contributions of rare variants. We provide a proof-of-concept on how this information can be utilized to pinpoint genes for which sequencing-based genotyping can add important information to predict drug response, which provides useful information for the design of clinical trials in drug development and the personalization of pharmacological treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-018-0157-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5968569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59685692018-05-30 Integrating rare genetic variants into pharmacogenetic drug response predictions Ingelman-Sundberg, Magnus Mkrtchian, Souren Zhou, Yitian Lauschke, Volker M. Hum Genomics Primary Research BACKGROUND: Variability in genes implicated in drug pharmacokinetics or drug response can modulate treatment efficacy or predispose to adverse drug reactions. Besides common genetic polymorphisms, recent sequencing projects revealed a plethora of rare genetic variants in genes encoding proteins involved in drug metabolism, transport, and response. RESULTS: To understand the global importance of rare pharmacogenetic gene variants, we mapped the variability in 208 pharmacogenes by analyzing exome sequencing data from 60,706 unrelated individuals and estimated the importance of rare and common genetic variants using a computational prediction framework optimized for pharmacogenetic assessments. Our analyses reveal that rare pharmacogenetic variants were strongly enriched in mutations predicted to cause functional alterations. For more than half of the pharmacogenes, rare variants account for the entire genetic variability. Each individual harbored on average a total of 40.6 putatively functional variants, rare variants accounting for 10.8% of these. Overall, the contribution of rare variants was found to be highly gene- and drug-specific. Using warfarin, simvastatin, voriconazole, olanzapine, and irinotecan as examples, we conclude that rare genetic variants likely account for a substantial part of the unexplained inter-individual differences in drug metabolism phenotypes. CONCLUSIONS: Combined, our data reveal high gene and drug specificity in the contributions of rare variants. We provide a proof-of-concept on how this information can be utilized to pinpoint genes for which sequencing-based genotyping can add important information to predict drug response, which provides useful information for the design of clinical trials in drug development and the personalization of pharmacological treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-018-0157-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-25 /pmc/articles/PMC5968569/ /pubmed/29793534 http://dx.doi.org/10.1186/s40246-018-0157-3 Text en © The Author(s). 2018 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 | Primary Research Ingelman-Sundberg, Magnus Mkrtchian, Souren Zhou, Yitian Lauschke, Volker M. Integrating rare genetic variants into pharmacogenetic drug response predictions |
title | Integrating rare genetic variants into pharmacogenetic drug response predictions |
title_full | Integrating rare genetic variants into pharmacogenetic drug response predictions |
title_fullStr | Integrating rare genetic variants into pharmacogenetic drug response predictions |
title_full_unstemmed | Integrating rare genetic variants into pharmacogenetic drug response predictions |
title_short | Integrating rare genetic variants into pharmacogenetic drug response predictions |
title_sort | integrating rare genetic variants into pharmacogenetic drug response predictions |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968569/ https://www.ncbi.nlm.nih.gov/pubmed/29793534 http://dx.doi.org/10.1186/s40246-018-0157-3 |
work_keys_str_mv | AT ingelmansundbergmagnus integratingraregeneticvariantsintopharmacogeneticdrugresponsepredictions AT mkrtchiansouren integratingraregeneticvariantsintopharmacogeneticdrugresponsepredictions AT zhouyitian integratingraregeneticvariantsintopharmacogeneticdrugresponsepredictions AT lauschkevolkerm integratingraregeneticvariantsintopharmacogeneticdrugresponsepredictions |