Author

Michael Q. Zhang

The University of Texas at Dallas, United States

2 articles in our journals

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Research ArticleOpen accessHigh-Order Interactions in Rheumatoid Arthritis Detected by Bayesian Method using Genome-Wide Association Studies DataJing Zhang, Zheyang Wu, Chao Gao, Michael Q. ZhangProblem statement: In order to reveal the missing genetic component of Rheumatoid Arthritis (RA) susceptibility, we carried out a genome-wide high-order epistatic interaction study for RA. Approach: A powerful Bayesian strategy was applied to analyze the data of Genome-Wide Association Studies (GWAS) from the Welcome Trust Case Control Consortium (WTCCC), where 319 high-order interactions were found across the whole genome … …Current Research in Medicine, Vol. 3, Issue 1 · 30 Mar 2012 · 8,379 accessesView PDF Cite

Research ArticleOpen accessA Bayesian Method for Disentangling Dependent Structure of Epistatic InteractionJing Zhang, Qu Zhang, Darrin Lewis, Michael Q. ZhangProblem statement: We propose a Bayesian method (RBP) to recursively infer the independence structure of epistatic interactions in case-control study. Approach: Based on the results of BEAM2, RBP can powerfully detect the marginal and conditional independence within interacting SNPs even in the complicated interaction cases. Results: We did extensive simulations to test RBP and compare it with stepwise logistic regression. … …Current Research in Biostatistics, Vol. 2, Issue 1 · 13 Jan 2012 · 7,476 accessesView PDF Cite