Moreover, we applied probabilistic finemapping to prioritise candidate causal genes from any locus in the AN GWAS summary statistics with at least a suggestively significant SNP (p < 1 × 10−5) using the FOCUS method (Mancuso et al., 2019). The default prior (p = 1 × 10−3), and prior variance (nσ2 = 40), were utilised to approximate Bayes' factors such that the posterior inclusion probability (PIP) of each gene being a member of a credible set with 90% probability of containing the causal gene could be derived. Finemapping was performed with default tissue prioritisation, as well as the prioritisation of brain tissue. In the TWAS, there were two reference panels utilised for finemapping – for genes uncovered from a GTEx v7 tissue, we utilised the default combined FOCUS SNP weight set which collated GTEx v7 tissues, DLPFC (CommonMind), blood (YFS, NTR), and adipose (METSIM) SNP weight sets (https://www.dropbox.com/s/ep3dzlqnp7p8e5j/focus.db?dl=0), with genes discovered using the PsychENCODE weights finemapped specifically using that panel given the different LD parameters and its more complete set of genes with cis-heritable models in that one tissue. The
