Previous studies have shown concordance of polygenic effects between EUR and EAS individuals in RA5 and between EUR and African American individuals in PrCa51. However, to our knowledge, the extent of this concordance has not yet been investigated across diverse traits, or with as many functional annotations as we have created for this study. Assuming shared regulatory variants in EUR and EAS, IMPACT annotations should capture similar amounts of heritability between populations (Fig. 1d–i and Fig. 3a). This would suggest that IMPACT helps pinpoint regulatory variants from association data that are portable across ancestral populations. Here, we quantified the SNP heritability (τ*) of 29 traits in EUR and EAS captured by a set of approximately 100 independent IMPACT regulatory annotations (Fig. 3b, Extended Data Fig. 5 and Methods). Across annotations, we observed that τ* estimates between EUR and EAS are strikingly similar, with a regression coefficient that is consistent with identity (slope = 0.98, s.e.m. = 0.04). For example, we observed a strong Pearson correlation of τ* between EUR and EAS for asthma (r=0.98), RA (r=0.87), MCV (r=0.96), PrCa (r=0.90)
