We performed fine mapping using MsCAVIAR77, which can leverage LD information from multiple ancestries to improve fine mapping of causal variants. To reduce bias introduced by populations with small sample size, here we performed fine mapping using summary statistics from the EUR, AFR and LA populations. Three sets of analyses were conducted. The first is within-ancestry fine mapping for the 85 regions with independent variants in EUR using EUR summary data and 1000 Genomes Project phase 3 EUR LD reference data. For each region, we selected SNPs that clumped (within 500 kb and LD r2 > 0.1) with the lead SNP and with P < 0.05 for fine mapping. We then calculated the pair-wise LD among the selected SNPs. If two SNPs were in perfect LD (r2 = 1, indicating that they are likely to be inherited together), we randomly removed one from the analysis. The second is cross-ancestry fine mapping for the 100 regions with independent variants identified in cross-ancestry meta-analyses. For each region, we performed clumping (within 500 kb and LD r2 > 0.1) in EUR, AFR and
