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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 relationshipsdoi:10.1186/1753-6561-5-s9-s37 pmid:22373110 pmcid:PMC3287873 fatcat:2rgdrss46jeoze5k3krpsc4o7y