Research Article Open Access

High-Order Interactions in Rheumatoid Arthritis Detected by Bayesian Method using Genome-Wide Association Studies Data

Jing Zhang1, Zheyang Wu2, Chao Gao1 and Michael Q. Zhang3
  • 1 Yale University, United States
  • 2 WPI, 100 Institute Road, United States
  • 3 The University of Texas at Dallas, United States

Abstract

Problem 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 and many of which were validated by the GWAS data from the North American Rheumatoid Arthritis Consortium (NARAC). Results: This is the first study intensively searching for high-order epistatic interactions genome-widely for RA. Conclusion: Our results suggest that high-order interactions might explain a big proportion of missing genetic component of RA. In the meanwhile, synapse, calcium ion binding and membrane part likely have interactive associations with RA. This finding implies that not only autoimmune system but also nervous system can play an important role in RA.

Current Research in Medicine
Volume 3 No. 1, 2012, 56-66

DOI: https://doi.org/10.3844/amjsp.2012.56.66

Submitted On: 3 March 2012 Published On: 30 March 2012

How to Cite: Zhang, J., Wu, Z., Gao, C. & Zhang, M. Q. (2012). High-Order Interactions in Rheumatoid Arthritis Detected by Bayesian Method using Genome-Wide Association Studies Data. Current Research in Medicine, 3(1), 56-66. https://doi.org/10.3844/amjsp.2012.56.66

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Keywords

  • Welcome Trust Case Control Consortium (WTCCC)
  • North American Rheumatoid Arthritis Consortium (NARAC)
  • the results suggest
  • autoimmune system
  • genetic component