Table 2.
Model | Marker(s) | Mean | SE | BF ≥ 1 | BF ≥ 3.2 | BF ≥ 10 | BF ≥ 100 |
Without Epistases | 2–47.8 | 0.7453 | 0.1340 | 94 (5) | 93 (5) | 92 (5) | 90 (3) |
3–141.5 | 1.1222 | 0.231 | 100 (0) | 100 (0) | 100 (0) | 100 (0) | |
FDR (additive) | -- | -- | 0.0067 | 0 | 0 | 0 | |
With Epistases | 2–47.8 | 0.7610 | 0.1439 | 94 (6) | 93 (6) | 93 (6) | 93 (6) |
3–141.5 | 1.1316 | 0.1402 | 100 (0) | 100 (0) | 100 (0) | 100 (0) | |
(1–24.7, 2–47.8) | 1.5607 | 0.3921 | 92 (6) | 91 (7) | 91 (7) | 90 (7) | |
(2–47.8, 3–141.5) | 1.5558 | 0.3054 | 97 (3) | 96 (4) | 96 (4) | 96 (4) | |
(2–133.8, 3–56.7) | -1.6204 | 0.3875 | 92 (8) | 92 (8) | 92 (8) | 90 (10) | |
FDR (additive) | -- | -- | 0.0408 | 0.0333 | 0.0133 | 0.0067 | |
FDR (epistatic) | -- | -- | 0.4872 | 0.3251 | 0.2283 | 0.1122 |
Out of 100 simulated data sets, the total numbers of data sets that correctly identify the true additive and interaction effects (in the brackets, their neighboring ones when the true ones are missed) are counted respectively when thresholding the Bayes factor (BF) at different levels. Also listed are the mean and standard error (SE) of the estimated effect sizes.