Regression results for GW-scores and DHS-scores predicting ADsx are shown in Table 2. The GW-scores predicted ADsx at both the p<.01 and p<.05 inclusion thresholds (β =.0006, p<.001 and β =.0003, p<.001, respectively). The DHS-scores also predicted ADsx at the p<.01 and p<.05 inclusion thresholds (β =.0008, p=.009 and β =.0004, p=.022, respectively). The overall effect sizes were relatively small, with each GW-score explaining about 1% of the variance in ADsx. Effect sizes for the DHS-scores were also modest, with each explaining ~0.5% of the variation in ADsx. The GW- and DHS-scores included different numbers of SNPs; accordingly, we compared the per-SNP effect sizes for the two types of polygenic scores. Ratios of the DHS to GW per-SNP effect were 1.1 to 1.4 for the per-SNP variance accounted for (R2). This indicates that, on average, each SNP in DHS-scores accounted for 1.1–1.4 times more variance in ADsx compared to each SNP included in the GW-scores.
