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Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling

Whole-exome sequencing (WES) has been widely used for analysis of human genetic diseases, but its value for the pharmacogenomic profiling of individuals is not well studied. Initially, we performed an in-depth evaluation of the accuracy of WES variant calling in the pharmacogenes CYP2D6 and CYP2C19...

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Autores principales: Chua, Eng Wee, Cree, Simone L., Ton, Kim N. T., Lehnert, Klaus, Shepherd, Phillip, Helsby, Nuala, Kennedy, Martin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726781/
https://www.ncbi.nlm.nih.gov/pubmed/26858644
http://dx.doi.org/10.3389/fphar.2016.00001
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author Chua, Eng Wee
Cree, Simone L.
Ton, Kim N. T.
Lehnert, Klaus
Shepherd, Phillip
Helsby, Nuala
Kennedy, Martin A.
author_facet Chua, Eng Wee
Cree, Simone L.
Ton, Kim N. T.
Lehnert, Klaus
Shepherd, Phillip
Helsby, Nuala
Kennedy, Martin A.
author_sort Chua, Eng Wee
collection PubMed
description Whole-exome sequencing (WES) has been widely used for analysis of human genetic diseases, but its value for the pharmacogenomic profiling of individuals is not well studied. Initially, we performed an in-depth evaluation of the accuracy of WES variant calling in the pharmacogenes CYP2D6 and CYP2C19 by comparison with MiSeq(®) amplicon sequencing data (n = 36). This analysis revealed that the concordance rate between WES and MiSeq(®) was high, achieving 99.60% for variants that were called without exceeding the truth-sensitivity threshold (99%), defined during variant quality score recalibration (VQSR). Beyond this threshold, the proportion of discordant calls increased markedly. Subsequently, we expanded our findings beyond CYP2D6 and CYP2C19 to include more genes genotyped by the iPLEX(®) ADME PGx Panel in the subset of twelve samples. WES performed well, agreeing with the genotyping panel in approximately 99% of the selected pass-filter variant calls. Overall, our results have demonstrated WES to be a promising approach for pharmacogenomic profiling, with an estimated error rate of lower than 1%. Quality filters, particularly VQSR, are important for reducing the number of false variants. Future studies may benefit from examining the role of WES in the clinical setting for guiding drug therapy.
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spelling pubmed-47267812016-02-08 Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling Chua, Eng Wee Cree, Simone L. Ton, Kim N. T. Lehnert, Klaus Shepherd, Phillip Helsby, Nuala Kennedy, Martin A. Front Pharmacol Pharmacology Whole-exome sequencing (WES) has been widely used for analysis of human genetic diseases, but its value for the pharmacogenomic profiling of individuals is not well studied. Initially, we performed an in-depth evaluation of the accuracy of WES variant calling in the pharmacogenes CYP2D6 and CYP2C19 by comparison with MiSeq(®) amplicon sequencing data (n = 36). This analysis revealed that the concordance rate between WES and MiSeq(®) was high, achieving 99.60% for variants that were called without exceeding the truth-sensitivity threshold (99%), defined during variant quality score recalibration (VQSR). Beyond this threshold, the proportion of discordant calls increased markedly. Subsequently, we expanded our findings beyond CYP2D6 and CYP2C19 to include more genes genotyped by the iPLEX(®) ADME PGx Panel in the subset of twelve samples. WES performed well, agreeing with the genotyping panel in approximately 99% of the selected pass-filter variant calls. Overall, our results have demonstrated WES to be a promising approach for pharmacogenomic profiling, with an estimated error rate of lower than 1%. Quality filters, particularly VQSR, are important for reducing the number of false variants. Future studies may benefit from examining the role of WES in the clinical setting for guiding drug therapy. Frontiers Media S.A. 2016-01-26 /pmc/articles/PMC4726781/ /pubmed/26858644 http://dx.doi.org/10.3389/fphar.2016.00001 Text en Copyright © 2016 Chua, Cree, Ton, Lehnert, Shepherd, Helsby and Kennedy. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Chua, Eng Wee
Cree, Simone L.
Ton, Kim N. T.
Lehnert, Klaus
Shepherd, Phillip
Helsby, Nuala
Kennedy, Martin A.
Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling
title Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling
title_full Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling
title_fullStr Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling
title_full_unstemmed Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling
title_short Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling
title_sort cross-comparison of exome analysis, next-generation sequencing of amplicons, and the iplex(®) adme pgx panel for pharmacogenomic profiling
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726781/
https://www.ncbi.nlm.nih.gov/pubmed/26858644
http://dx.doi.org/10.3389/fphar.2016.00001
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