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Wald-Wolfowitz Runs Test II01:17

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The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
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A global test for gene-gene interactions based on random matrix theory.

H Robert Frost1, Christopher I Amos1, Jason H Moore2

  • 1Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, United States of America.

Genetic Epidemiology
|July 9, 2016
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Detecting gene-gene interactions is challenging. A new global epistasis test (GET) using random matrix theory offers a powerful and efficient method for identifying genetic interactions in complex diseases.

Keywords:
gene-gene interactionglobal testrandom matrix theory

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Area of Science:

  • Genetics and Bioinformatics
  • Statistical Genetics

Background:

  • Gene-gene interactions are crucial for understanding complex diseases.
  • Detecting these interactions is difficult due to the vast number of possibilities and limited statistical power.

Purpose of the Study:

  • To introduce a novel global test for gene-gene interactions.
  • To evaluate the performance of this new test against existing methods.

Main Methods:

  • Development of the global epistasis test (GET) based on random matrix theory.
  • Simulation studies using models for rheumatoid arthritis, type 2 diabetes, and breast cancer.
  • Application of the GET to a glaucoma Genome-Wide Association Study (GWAS) dataset.

Main Results:

  • The GET demonstrates superior performance compared to existing global gene-gene interaction tests.
  • Simulations show the GET's effectiveness in identifying interactions for common diseases.
  • The glaucoma GWAS data illustrates the practical utility of the GET.

Conclusions:

  • The global epistasis test (GET) provides a powerful and efficient approach for detecting gene-gene interactions.
  • This method can serve as a valuable tool for initial filtering in genetic studies of complex diseases.