Table 3. Predictive performances (prediction R 2 in %) of the standard PRS and four other PRS schemes in simulations using real genotype data (a mixture small and large effects simulated).
| % casual | h2 | Type | Standard | Tdr | Tweedie | Tweedie*tdr | LDpred |
|---|---|---|---|---|---|---|---|
| 0.1% | 10% | max | 0.700 | 0.962 | 0.951 | 0.925 | 0.705 |
| all SNPs | 0.044 | 0.644 | 0.165 | 0.903 | 0.055 | ||
| 0.1% | 20% | max | 2.497 | 2.712 | 2.669 | 2.922 | 3.192 |
| all SNPs | 0.072 | 2.025 | 0.178 | 2.909 | 0.041 | ||
| 0.1% | 30% | max | 6.622 | 6.800 | 6.627 | 7.079 | 7.376 |
| all SNPs | 0.411 | 4.342 | 2.852 | 7.079 | 0.489 | ||
| 0.1% | 40% | max | 7.327 | 8.289 | 8.522 | 8.846 | 7.743 |
| all SNPs | 0.265 | 5.048 | 2.634 | 8.790 | 0.817 | ||
| 0.25% | 10% | max | 0.921 | 1.154 | 1.269 | 1.328 | 0.986 |
| all SNPs | 0.075 | 0.864 | 0.237 | 1.327 | 0.162 | ||
| 0.25% | 20% | max | 2.381 | 2.446 | 2.342 | 2.432 | 0.913 |
| all SNPs | 0.038 | 2.099 | 0.320 | 2.416 | 0.038 | ||
| 0.25% | 30% | max | 2.015 | 2.469 | 2.328 | 2.571 | 2.805 |
| all SNPs | 0.730 | 1.899 | 1.268 | 2.571 | 0.653 | ||
| 0.25% | 40% | max | 4.762 | 5.328 | 5.218 | 5.333 | 5.737 |
| all SNPs | 0.910 | 3.707 | 2.882 | 5.333 | 1.136 | ||
| 1.0% | 10% | max | 0.695 | 0.800 | 0.773 | 0.766 | 0.374 |
| all SNPs | 0.069 | 0.498 | 0.102 | 0.740 | 0.056 | ||
| 1.0% | 20% | max | 1.439 | 1.513 | 1.350 | 1.206 | 1.253 |
| all SNPs | 0.042 | 0.915 | 0.132 | 1.153 | 0.040 | ||
| 1.0% | 30% | max | 3.018 | 3.189 | 3.274 | 3.369 | 2.656 |
| all SNPs | 0.274 | 3.189 | 1.059 | 3.367 | 0.730 | ||
| 1.0% | 40% | max | 2.906 | 3.104 | 3.011 | 3.407 | 3.404 |
| all SNPs | 0.599 | 2.147 | 1.565 | 3.407 | 1.178 | ||
| 2.5% | 10% | max | 0.730 | 0.934 | 0.982 | 1.007 | 0.960 |
| all SNPs | 0.035 | 0.387 | 0.112 | 0.977 | 0.046 | ||
| 2.5% | 20% | max | 1.912 | 2.106 | 2.096 | 2.045 | 2.132 |
| all SNPs | 0.352 | 1.452 | 0.797 | 2.045 | 0.338 | ||
| 2.5% | 30% | max | 1.269 | 1.398 | 1.440 | 1.482 | 1.712 |
| all SNPs | 0.353 | 0.972 | 0.648 | 1.482 | 0.324 | ||
| 2.5% | 40% | max | 2.691 | 2.861 | 2.787 | 2.925 | 3.651 |
| all SNPs | 0.706 | 2.043 | 1.554 | 2.924 | 0.605 |
A mixture of small and large effects was simulated as described in the main text. The best performing PRS weighting method in each scenario is in bold. % causal: percentage of causal markers; h2: total heritability explained by panel markers. For all methods except LDpred, we first applied LD-clumping with an r2 threshold of 0.25 to all SNPs. “Max” refers to the maximum prediction R2 achieved after optimizing over a range of p-value thresholds or fractions of causal variants. “All.SNPs” refers to the predictive performance using all SNPs after LD-clumping, except for LDpred where no clumping was performed. All predictive performances were measured by R2 in %.