A High-Performing and Cost-Effective SNP Genotyping Method Using rhPCR and Universal Reporters

Beltz, Kristin and Tsang, Daniel and Wang, Junzhou and Rose, Scott and Bao, Yun and Wang, Yu and Larkin, Katelyn and Rupp, Susan and Schrepfer, Daniela and Datta, Krishnalekha and Gunderson, Keith and Sailor, Chris and Hansen, Scott and Dobosy, Joseph and Lewis, Lynette and Menezes, Aurita and Walder, Joseph and Behlke, Mark and Chen, Caifu (2018) A High-Performing and Cost-Effective SNP Genotyping Method Using rhPCR and Universal Reporters. Advances in Bioscience and Biotechnology, 09 (09). pp. 497-512. ISSN 2156-8456

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Abstract

We have developed a novel dual enzyme chemistry called rhAmp® SNP genotyping based on RNase H2-dependent PCR (rhPCR) that provides high signal and specificity for SNP analysis. rhAmp SNP genotyping combines a unique two-enzyme system with 3’ end blocked DNA-RNA hybrid primers to interrogate SNP loci. Activation of the blocked primers occurs upon hybridization to its perfectly matched target, which eliminates or greatly reduces primer dimers. A thermostable hot-start RNase H2 cleaves the primer immediately 5’ of the ribose sugar, releasing the blocking group and allowing primer extension. PCR specificity is further improved with the use of a mutant Taq DNA polymerase, resulting in improved allelic discrimination. Signal generation is obtained using a universal reporter system which requires only two reporter probes for any bi-allelic SNP. 1000 randomly selected SNPs were chosen to validate the 95% design rate of the design pipeline. A subsampling of 130 human SNP targets was tested and achieved a 98% call rate, and 99% call accuracy. rhAmp SNP genotyping assays are compatible with various qPCR instruments including QuantStudioTM 7 Flex, CFX384TM, IntelliQube®, and Biomark HDTM. In comparison to TaqMan®, rhAmp SNP genotyping assays show higher signal (Rn) and greater cluster separation, resulting in more reliable SNP genotyping performance. The rhAmp SNP genotyping solution is suited for high-throughput SNP genotyping applications in humans and plants.

Item Type: Article
Subjects: Science Repository > Biological Science
Depositing User: Managing Editor
Date Deposited: 21 Feb 2023 04:56
Last Modified: 31 May 2024 05:42
URI: http://research.manuscritpub.com/id/eprint/1034

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