For each GWAS analysis, we performed single variant tests using RVTEST38 software, which implements association tests that can be used for common and rare variants using regression models also implemented in the better-known PLINK35. We included the first 10 principal components, age, and sex as covariates in the linear regression association analyses. The results were filtered with imputation quality score R2->0.9, minor allele frequency (MAF) >0.01, and Hardy-Weinberg equilibrium test p-value >1×10−06. A threshold of GWAS p-value of 5×10−8 was adopted for genome wide significant (GWS) association results. Meta-analysis was performed for EA and AA results using PLINK.
