cis-eQTLs for 24 tissues

We applied the statistical fine-mapping method, dap-g (v1.0.0), to infer multiple independent casual cis-eQTLs of a gene in a tissue. The dap-g approach employed a Bayesian variable selection model, using a signal-level posterior inclusion probability (SPIP) to measure the strength of each association signal (SNPs in LD). We set a cutoff of 0.1 (i.e., SPIP > 0.9) as the inclusion threshold to detect representative/independent eQTLs for the target eGene.