Use of Bayesian networks to dissect the complexity of genetic disease: application to the Genetic Analysis Workshop 17 simulated data

Jia Kang, Wei Zheng, Lun Li, Joon Lee, Xiting Yan, Hongyu Zhao
2011 BMC Proceedings  
Complex diseases are often the downstream event of a number of risk factors, including both environmental and genetic variables. To better understand the mechanism of disease onset, it is of great interest to systematically investigate the crosstalk among various risk factors. Bayesian networks provide an intuitive graphical interface that captures not only the association but also the conditional independence and dependence structures among the variables, resulting in sparser relationships
more » ... een risk factors and the disease phenotype than traditional correlation-based methods. In this paper, we apply a Bayesian network to dissect the complex regulatory relationships among disease traits and various risk factors for the Genetic Analysis Workshop 17 simulated data. We use the Bayesian network as a tool for the risk prediction of disease outcome.
doi:10.1186/1753-6561-5-s9-s37 pmid:22373110 pmcid:PMC3287873 fatcat:2rgdrss46jeoze5k3krpsc4o7y