Table 1 IMPROVE-IT PGx GWAS data analysis results: R2, p-values of two-sided test, and effect sizes
From: Pharmacogenomics polygenic risk score for drug response prediction using PRS-PGx methods
| Â | Two armsa | T armb | C armc | Two arms | T arm | C arm | Two arms | T arm | C arm |
|---|---|---|---|---|---|---|---|---|---|
PRS method | R2 | R2 | R2 | PvalG×T | PvalG | PvalG | \({\widehat{\beta }}_{G\times T}\) (SE) | \({\widehat{\beta }}_{G}\) (SE) | \({\widehat{\beta }}_{G}\) (SE) |
PRS-Dis-CT | 0.165 | 0.152 | 0.191 | 0.041 | 3.0e−09 | 5.1e−17 | −0.031 (0.015) | −0.066 (0.011) | −0.035 (0.004) |
PRS-Dis-LDpred2 | 0.174 | 0.165 | 0.201 | 0.033 | 4.3e−13 | 6.1e−23 | −0.037 (0.017) | −0.079 (0.011) | −0.042 (0.004) |
PRS-PGx-Unadj | 0.165 | 0.180 | 0.121 | 0.028 | 1.2e−13 | 2.7e−03 | −0.061 (0.028) | −0.082 (0.011) | 0.057 (0.019) |
PRS-PGx-CT | 0.184 | 0.241 | 0.070 | 0.009 | 1.7e−15 | 0.01 | −0.095 (0.036) | −0.104 (0.013) | −0.040 (0.016) |
PRS-PGx-GL | 0.181 | 0.203 | 0.123 | 0.014 | 7.4e−15 | 1.8e−03 | −0.076 (0.031) | −0.093 (0.012) | 0.112 (0.036) |
PRS-PGx-Bayes | 0.214 | 0.277 | 0.194 | 5.4e−05 | 3.8e−21 | 1.0e−17 | −0.131 (0.032) | −0.124 (0.013) | 0.198 (0.023) |
