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A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
Published on: April 1, 2019
SNP genotyping by allele-specific PCR using ENA primers
Makoto Koizumi1, Koji Morita, Miho Takagi
1Lead Discovery Research Laboratories, Sankyo Co., Ltd., 1-2-58, Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan.
Nucleic Acids Symposium Series (2004)
|December 8, 2006
Summary
Modified nucleic acid primers improve single nucleotide polymorphism genotyping. Ethylene nucleic acid (ENA) primers at the n-2 position enhance allele-specific PCR (AS-PCR) accuracy for reliable SNP genotyping.
Area of Science:
- Molecular Biology
- Genetics
Background:
- Allele-specific PCR (AS-PCR) is crucial for single nucleotide polymorphism (SNP) genotyping.
- Optimizing primer design is essential for improving the accuracy and reliability of AS-PCR.
Purpose of the Study:
- To investigate the impact of incorporating 2'-O,4'-C-ethylene nucleic acid (ENA) residues into primers at various positions on AS-PCR performance.
- To evaluate the efficacy of ENA-modified primers for SNP genotyping compared to traditional DNA primers.
Main Methods:
- Synthesized primers with ENA residues at the 3' end, n-1, n-2, and n-3 positions, targeting a SNP site.
- Performed PCR amplification using Taq DNA polymerase with ENA-modified and unmodified DNA primers.
- Compared the discrimination capabilities of ENA primers against standard DNA primers in AS-PCR.
Main Results:
- Only primers with an ENA residue at the n-2 position facilitated amplification by Taq DNA polymerase.
- ENA primers at the n-2 position demonstrated superior discrimination of the SNP site compared to unmodified DNA primers.
- The enhanced discrimination is attributed to Taq DNA polymerase's reduced ability to incorporate mismatched nucleotides with ENA primers.
Conclusions:
- Incorporating ENA residues at the n-2 position significantly enhances SNP discrimination in AS-PCR.
- ENA primer-based AS-PCR offers a rapid, reliable, and accurate method for SNP genotyping.
- This technique holds promise for various genetic analysis applications.

