Table 6. Genotype Effects on Reaction Time.
| Parameter | DF | F-Value | Original P-Value | Beta |
|---|---|---|---|---|
| Unconstrained Genetic Model | ||||
| Sex | 1 | 0.13 | 0.7165 | Females -1.09 |
| Study Center | 6 | 10.73 | < .0001 | -17.14 (AC) |
| -1.69 (BE) | ||||
| -4.33 (BN) | ||||
| -2.68 (DU) | ||||
| -4.05 (ER) | ||||
| 33.43 (MA) | ||||
| 0.00 (MZ) | ||||
| Genotype | 2 | 1.25 | 0.2872 | -9.44 (TT) |
| -1.88 (TC) | ||||
| 0.00 (CC) | ||||
| Sex*Genotype | 2 | 4.45 | 0.0118 | Females) |
| 16.55 (TT) | ||||
| -9.06 (TC) | ||||
| 0.00 (CC | ||||
| Recessive Genetic Model | ||||
| Sex | 1 | 0.98 | 0.3222 | Females -7.48 |
| Study Center | 6 | 10.66 | < .0001 | -17.28 (AC) |
| -1.94 (BE) | ||||
| -4.59 (BN) | ||||
| -2.86 (DU) | ||||
| -3.91 (ER) | ||||
| 33.20 (MA) | ||||
| 0.00 (MZ) | ||||
| Genotype | 1 | 0.68 | 0.4100 | -8.15 |
| Sex*Genotype | 1 | 8.05 | 0.0046 | Females 22.95 |
Linear Regression models fitted for N100 (Cz) performing stepwise backward selection of variables. Top: Unconstrained genetic model (DF = 11; p < .0001; R² = 0.04; β = 362.5; n = 1,818). Bottom: Recessive genetic model (DF = 9; p < .0001; R² = 0.04; β = 361.3; n = 1,818). AC = Aachen, BE = Berlin, BN = Bonn, DU = Düsseldorf, ER = Erlangen, MA = Mannheim, MZ = Mainz. The larger sample size (compared to the sample size with the N100 regression analyses) is due to subjects with available reaction time data but without artifact-free EEG from the original sample.