SNPstream® UHT: Ultra-High Throughput SNP Genotyping for Pharmacogenomics and Drug Discovery. (June 2002)

• Record Type: Journal Article
• Authors: Bell, Peter A.; Chaturvedi, Surendra; Gelfand, Craig A.; Huang, Ching Yu; Kochersperger, Michael; Kopla, Rafael; Modica, Frank; Pohl, Mark; Varde, Shobha; Zhao, Renbin; Zhao, Xiaojian; Boyce-Jacino, Michael T.
• Is Part Of: Biotechniques. Volume 32(2002)Supplement 6
• Page Start: S70
• Page End: S77
• Publication Date: 2002-06
• Subjects: Biology, Experimental -- Periodicals; Molecular biology -- Periodicals; Medical technology -- Periodicals; Biology, Experimental; Medical technology; Molecular biology; Clinical Laboratory Techniques -- Periodicals; Research -- Periodicals; Medical Laboratory Science -- Periodicals; Periodicals; Electronic journals; 570
• DOI: 10.2144/jun0205
• Languages: English
• ISSNs: 0736-6205

Abstract

Single nucleotide polymorphism (SNP) genotyping is playing an increasing role in genome mapping, pharmacogenetic studies, and drug discovery. To date, genome-wide scans and studies involving thousands of SNPs and samples have been hampered by the lack of a system that can perform genotyping with cost-effective throughput, accuracy, and reliability. To address this need, Orchid has developed an automated, ultra-high throughput system, SNPstream ® UHT, which uses multiplexed PCR in conjunction with our next generation SNP-IT ™ tag array single base extension genotyping technology. The system employs oligonucleotide microarrays manufactured in a 384-well format on a novel glass-bottomed plate. Multiplexed PCR and genotyping are performed in homogeneous reactions, and assay results are read by direct two-color fluorescence on the SNPstream UHT Array Imager. The system's flexibility enables large projects involving thousands of SNPs and thousands of samples as well as small projects that have hundreds of SNPs and hundreds of samples to be done cost effectively. We have successfully demonstrated this system in greater than 1 000 000 genotyping assays with >96% of samples giving genotypes with >99% accuracy.