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Recent studies have examined the genetic correlations of single-nucleotide polymorphism (SNP) effect sizes across pairs of populations to better understand the genetic architectures of complex traits. These studies have estimated ÒÏ g , the cross-population correlation of joint-fit effect sizes at genotyped SNPs. However, the value of ÒÏ g depends both on the cross-population correlation of true causal effect sizes ( ÒÏ b ) and on the similarity in linkage disequilibrium (LD) patterns in the two populations, which drive tagging effects. Here, we derive the value of the ratio ÒÏ g / ÒÏ b as a function of LD in each population. By applying existing methods to obtain estimates of ÒÏ g , we can use this ratio to estimate ÒÏ b . Our estimates of ÒÏ b were equal to 0.55 ( SE = 0.14) between Europeans and East Asians averaged across nine traits in the Genetic Epidemiology Research on Adult Health and Aging data set, 0.54 ( SE = 0.18) between Europeans and South Asians averaged across 13 traits in the UK Biobank data set, and 0.48 ( SE = 0.06) and 0.65 ( SE = 0.09) between Europeans and East Asians in summary statistic data sets for type 2 diabetes and rheumatoid arthritis, respectively. These results implicate substantially different causal genetic architectures across continental populations.