The effect of alternative permutation testing strategies on the performance of multifactor dimensionality reduction
2008

Testing Strategies for Gene Interaction Analysis

Sample size: 100 publication 10 minutes Evidence: moderate

Author Information

Author(s): Alison A Motsinger-Reif

Primary Institution: North Carolina State University

Hypothesis

How do different permutation testing strategies affect the performance of multifactor dimensionality reduction?

Conclusion

Omnibus permutation testing should be used with the MDR method.

Supporting Evidence

  • The false positive rate for the MDR method is at or below a selected alpha level.
  • Omnibus permutation testing is optimal for preserving power while protecting against false positives.
  • The study demonstrated the conservative nature of omnibus testing compared to n-locus testing.

Takeaway

This study looks at how different ways of testing for gene interactions can help scientists avoid mistakes when finding important genetic signals.

Methodology

The study compared the power and false positive rates of omnibus and n-locus permutation testing using simulated datasets.

Potential Biases

The n-locus permutation testing may lead to higher false positive rates.

Limitations

The study primarily focuses on simulated data, which may not fully represent real-world scenarios.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1756-0500-1-139

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