T. Hartshorne, F. Le, Jordan Lang, H. Leong, K. Hayashibara, D. Dewolf, Elliot J Shelton
{"title":"A High-throughput Real-time PCR Approach to Pharmacogenomics Studies","authors":"T. Hartshorne, F. Le, Jordan Lang, H. Leong, K. Hayashibara, D. Dewolf, Elliot J Shelton","doi":"10.4172/2153-0645.1000133","DOIUrl":null,"url":null,"abstract":"Advances in personalized medicine have led to an increase in pharmacogenomics studies that involve testing individuals for drug metabolism enzyme and transporter gene polymorphisms implicated in drug response. As a consequence, there is a growing demand for affordable, easy to use technologies with fast sample-to-results workflows that can accommodate testing customizable sets of target gene variants and a changeable number of samples. Additionally, data analysis tools are needed to facilitate translation of an individual’s genetic information to their diploid content of gene-level star allele haplotypes, which can be correlated with drug metabolism enzyme phenotypes. Here we describe the development of a comprehensive pharmacogenomics experiments workflow solution to meet this need. High quality data was generated from purified buccal swab DNAs run with TaqMan® SNP genotyping and copy number assays in OpenArray® and 384-well plate formats, respectively, on the QuantStudio™ 12K Flex system. Data analysis was accomplished using TaqMan® Genotyper™ Software to examine SNP genotyping assay results and CopyCaller® Software to examine copy number assay results, followed by translation of this genetic data for individual samples to star allele genotypes using the recently developed AlleleTyper™ Software. The specific TaqMan® SNP Genotyping and Copy Number Assays to gene variants used can be tailored to suit the needs of a given pharmacogenomics study. This low cost, high throughput pharmacogenomics workflow can be completed in a single day, from sample preparation to data analysis.","PeriodicalId":333396,"journal":{"name":"Journal of Pharmacogenomics and Pharmacoproteomics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmacogenomics and Pharmacoproteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2153-0645.1000133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Advances in personalized medicine have led to an increase in pharmacogenomics studies that involve testing individuals for drug metabolism enzyme and transporter gene polymorphisms implicated in drug response. As a consequence, there is a growing demand for affordable, easy to use technologies with fast sample-to-results workflows that can accommodate testing customizable sets of target gene variants and a changeable number of samples. Additionally, data analysis tools are needed to facilitate translation of an individual’s genetic information to their diploid content of gene-level star allele haplotypes, which can be correlated with drug metabolism enzyme phenotypes. Here we describe the development of a comprehensive pharmacogenomics experiments workflow solution to meet this need. High quality data was generated from purified buccal swab DNAs run with TaqMan® SNP genotyping and copy number assays in OpenArray® and 384-well plate formats, respectively, on the QuantStudio™ 12K Flex system. Data analysis was accomplished using TaqMan® Genotyper™ Software to examine SNP genotyping assay results and CopyCaller® Software to examine copy number assay results, followed by translation of this genetic data for individual samples to star allele genotypes using the recently developed AlleleTyper™ Software. The specific TaqMan® SNP Genotyping and Copy Number Assays to gene variants used can be tailored to suit the needs of a given pharmacogenomics study. This low cost, high throughput pharmacogenomics workflow can be completed in a single day, from sample preparation to data analysis.