Extended Data Figure 10: Estimating the minimum number of SNPs affected by selection for each trait (gallery of 12 traits also highlighted in Figure 4).

Each panel shows the correlation of a trait with selection summary statistics ($r_s$) as a function of number of dropped loci. The right axis displays $r_s$ in blue; P-value on the left axis in orange. For each SNP, we define a priority score $|\mathrm{\beta }\times \mathrm{s}\times \mathrm{f}\times (1-\mathrm{f}\left)\right|$, where $\mathrm{\beta }$ is the GWAS effect size, $s$ the selection coefficient, and $f$ allele frequency. SNPs are sorted by priority score, and in each iteration, a 2cM region around the highest priority SNP is dropped, $r_s$ is recalculated for the remaining genome, and this continues until no SNPs are left. (b) We similarly show $\gamma$ estimates at right as a function of number of dropped SNPs (blue), and P-value for polygenic selection at left with dark orange P<0.0001, light orange P<0.05, and gray otherwise.