Incorporating Biological Pathways via a Markov Random Field Model in Genome-Wide Association Studies

@inproceedings{Chen2011IncorporatingBP,
  title={Incorporating Biological Pathways via a Markov Random Field Model in Genome-Wide Association Studies},
  author={Min Chen and Judy H Cho and Hongyu Zhao},
  booktitle={PLoS genetics},
  year={2011}
}
Genome-wide association studies (GWAS) examine a large number of markers across the genome to identify associations between genetic variants and disease. Most published studies examine only single markers, which may be less informative than considering multiple markers and multiple genes jointly because genes may interact with each other to affect disease risk. Much knowledge has been accumulated in the literature on biological pathways and interactions. It is conceivable that appropriate… CONTINUE READING

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Integration of Genomic Data to Identify Genes and Pathways Associated with Disease

  • DH Ballard
  • Ph.D. thesis, Yale University
  • 2009
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