Before revision:  In this paper we approach this challenge with mixed graphical Markov models and higher-order conditional independences . To unlock this methodological framework we derive the parameters for an exact likelihood ratio test and demonstrate its fundamental relevance for higher-order conditioning on continuous expression and discrete genotypes .
After revision:  In this paper we approach this challenge with mixed graphical Markov models and higher-order conditional independences and q-order correlation graphs .