The main difference between FINEMAP and CAVIARBF is the search strategy to explore the space of causal configurations. We compare the computational efficiency and fine-mapping accuracy of FINEMAP with CAVIARBF to assess the impact of replacing exhaustive with stochastic search. We also illustrate FINEMAP on data from 4q22/SNCA region that contains a complex association pattern with Parkinson’s disease (UKPDC and WTCCC2, 2011) as well as on data from 15q21/LIPC region associated with HDL-C (Surakka et al., 2015).
