Table 1. True-positive and false-positive rates for and selection mapping.
| Genetic architecture | 10 QTL | 50 QTL | 100 QTL | 1000 QTL | 10,000 QTL |
|---|---|---|---|---|---|
| True-positive rate | 0.04 | 0.54 | 0.94 | 1.0 | 1.0 |
| False-positive rate | 0.03 | 0.03 | 0.02 | 0.03 | 0.04 |
| FST-based selection mapping | |||||
| Mean no. true positives (rate) | 5.6 (56%) | 22 (44%) | 39 (39%) | 187 (18.7%) | 1676 (16.8%) |
| Mean no. false positives | 52 | 280 | 715 | 1745 | — |
One test is conducted per simulation, so the true- and false-positive rates shown are simply the proportion of positives in selection simulations and no-selection simulations, respectively. For selection mapping, one test is conducted per marker in each simulation, so the mean number of markers that were declared true and false positives is shown. A marker was declared a false positive in selection mapping if it exceeded a 5% simulation-based, experiment-wide significance threshold but was not within a 0.1-cM region around a simulated QTL. Note that there are no selection mapping false positives in the 10,000 QTL simulation because every marker was within 0.1 cM of a simulated QTL.