A-MBED: Adaptive Markov Blanket Method for Epitasis Detection in Genome-Wide Association Studies

Tao Peng; Hao Wang; Yi Ran Wang; Wen Wen Xie; Jia Wei Luo

doi:10.4028/www.scientific.net/AMM.618.278

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 618A-MBED: Adaptive Markov Blanket Method for...

A-MBED: Adaptive Markov Blanket Method for Epitasis Detection in Genome-Wide Association Studies

Abstract:

With the completion of the international HapMap project and the development of high-throughput technologies, designing more effective epistasis detection algorithm for genome-wide data poses a significant challenge. This paper proposes a new method based on the Markov blanket to solve the limitations of the existing algorithm, such as a large false-positive proportion and low accuracy. The algorithm uses G² to judge the strength of correlation between variables of self-adaptive remove strategy and SNP matching method; to effectively eliminate variables that are unrelated to the target, as well as weak correlation between variables; to significantly reduce the search space and time; to prevent unnecessary retrieval analysis; and to improve the accuracy of the detection algorithm to a certain extent.

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Periodical:

Applied Mechanics and Materials (Volume 618)

Pages:

278-282

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.618.278

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Online since:

August 2014

Authors:

Tao Peng*, Hao Wang, Yi Ran Wang, Wen Wen Xie, Jia Wei Luo

Keywords:

Epistasis, G² Test, Markov Blanket, Self-Adaptivity

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