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High-throughput genotyping of single nucleotide polymorphisms using new biplex invader technology
Authors:Olivier Michael  Chuang Lee-Ming  Chang Mau-Song  Chen Ying-Tsung  Pei Dee  Ranade Koustubh  de Witte Anniek  Allen Jennifer  Tran Nguyet  Curb David  Pratt Richard  Neefs Henk  de Arruda Indig Monika  Law Scott  Neri Bruce  Wang Lu  Cox David R
Institution:Stanford Human Genome Center, Stanford University School of Medicine, 975 California Avenue, Palo Alto, CA 94305, USA. molivier@mcw.edu
Abstract:The feasibility of large-scale genome-wide association studies of complex human disorders depends on the availability of accurate and efficient genotyping methods for single nucleotide polymorphisms (SNPs). We describe a new platform of the invader assay, a biplex assay, where both alleles are interrogated in a single reaction tube. The assay was evaluated on over 50 different SNPs, with over 20 SNPs genotyped in study cohorts of over 1500 individuals. We assessed the usefulness of the new platform in high-throughput genotyping and compared its accuracy to genotyping results obtained by the traditional monoplex invader assay, TaqMan genotyping and sequencing data. We present representative data for two SNPs in different genes (CD36 and protein tyrosine phosphatase 1β) from a study cohort comprising over 1500 individuals with high or low-normal blood pressure. In this high-throughput application, the biplex invader assay is very accurate, with an error rate of <0.3% and a failure rate of 1.64%. The set-up of the assay is highly automated, facilitating the processing of large numbers of samples simultaneously. We present new analysis tools for the assignment of genotypes that further improve genotyping success. The biplex invader assay with its automated set-up and analysis offers a new efficient high-throughput genotyping platform that is suitable for association studies in large study cohorts.
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