This means that as long as we provide the Bayes Factors, the end user can calculate their own posterior probability of association (PPA) by providing their own prior estimates, which can be treated directly as a probability.
- The likelihood model (null and alternative) and the subsequent Bayes Factor
A simple example from:
outlines a simple form of Bayes Factors based on an additive model (gene expression a linear function of dosage of genotype)