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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Main Authors: Eng Wee eChua, Martin A Kennedy, Simone L Cree, Kim N. T. Ton, Klaus eLehnert, Phillip eShepherd, Nuala eHelsby
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-01-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00001/full
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author Eng Wee eChua
Eng Wee eChua
Martin A Kennedy
Simone L Cree
Kim N. T. Ton
Klaus eLehnert
Phillip eShepherd
Nuala eHelsby
author_facet Eng Wee eChua
Eng Wee eChua
Martin A Kennedy
Simone L Cree
Kim N. T. Ton
Klaus eLehnert
Phillip eShepherd
Nuala eHelsby
author_sort Eng Wee eChua
collection DOAJ
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. 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 variant quality score recalibration, 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 doaj.art-63c37df4538d4808af558c0d98fc4ee52022-12-22T03:32:49ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122016-01-01710.3389/fphar.2016.00001172401Cross-comparison of exome analysis, next-generation sequencing of amplicons, and the iPLEX® ADME PGx Panel for pharmacogenomic profilingEng Wee eChua0Eng Wee eChua1Martin A Kennedy2Simone L Cree3Kim N. T. Ton4Klaus eLehnert5Phillip eShepherd6Nuala eHelsby7University of Otago, ChristchurchUniversiti Kebangsaan MalaysiaUniversity of Otago, ChristchurchUniversity of Otago, ChristchurchUniversity of Otago, ChristchurchUniversity of AucklandUniversity of AucklandUniversity of AucklandWhole-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. 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 variant quality score recalibration, 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.http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00001/fullWhole-exome sequencingnext-generation amplicon sequencingmultiplexed genotyping panelvariant quality score recalibrationpharmacogenomic profiling
spellingShingle Eng Wee eChua
Eng Wee eChua
Martin A Kennedy
Simone L Cree
Kim N. T. Ton
Klaus eLehnert
Phillip eShepherd
Nuala eHelsby
Cross-comparison of exome analysis, next-generation sequencing of amplicons, and the iPLEX® ADME PGx Panel for pharmacogenomic profiling
Frontiers in Pharmacology
Whole-exome sequencing
next-generation amplicon sequencing
multiplexed genotyping panel
variant quality score recalibration
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 174 adme pgx panel for pharmacogenomic profiling
topic Whole-exome sequencing
next-generation amplicon sequencing
multiplexed genotyping panel
variant quality score recalibration
pharmacogenomic profiling
url http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00001/full
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