Mutation Detection by Real-Time PCR: A Simple, Robust and Highly Selective Method
2009

A Simple and Selective Method for Detecting Mutations Using Real-Time PCR

Sample size: 82 publication 10 minutes Evidence: high

Author Information

Author(s): John Morlan, Joffre Baker, Dominick Sinicropi, Iris Schrijver

Primary Institution: Genomic Health, Inc.

Hypothesis

We sought to develop a real-time PCR-based mutation assay methodology that successfully addresses the challenges of high selectivity in mutation detection.

Conclusion

The ASB-PCR method is a robust and simple approach for detecting single nucleotide mutations and polymorphisms, compatible with standard real-time PCR processes.

Supporting Evidence

  • The ASB-PCR method consistently produced highly selective mutation assays.
  • Results showed a statistical sensitivity of 100% and selectivity of 92.6% when compared to sequencing.
  • The method is compatible with gene expression analysis, allowing for simultaneous testing.

Takeaway

This study created a new way to find tiny changes in genes that can cause cancer, making it easier for doctors to understand and treat the disease.

Methodology

The study used a combination of Allele-Specific PCR with a Blocking reagent (ASB-PCR) to detect mutations in DNA or RNA from various tissue types.

Potential Biases

There may be risks of bias due to the reliance on specific reagents and the potential for false negatives in sequencing.

Limitations

The method may not detect all mutations due to the complexity of tumor heterogeneity and potential experimental noise.

Participant Demographics

Participants included individuals with colorectal cancer, with a focus on mutations in the Kras gene.

Statistical Information

P-Value

p<0.05

Confidence Interval

95%

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0004584

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