We are interested in fine-mapping a genomic region using GWAS summary data instead of original genotype-phenotype data as input. The building blocks of our Bayesian approach are the likelihood function (Section 2.1), priors (Section 2.2), efficient likelihood evaluation (Section 2.3) and efficient search algorithm (section 3). At each step we describe how our choices differ from the existing methods PAINTOR and CAVIARBF.
