Table 3. Genotype Effects on N100 Event-Related Potential (Cz).
Parameter | DF | F-Value | Original P-Value | Beta |
---|---|---|---|---|
Unconstrained Genetic Model | ||||
Sex | 1 | 10.39 | 0.0013 | Females 0.22 |
Study Center | 6 | 26.89 | <0.0001 | -0.08 (AC) |
0.39 (BE) | ||||
0.66 (BN) | ||||
0.09 (DU) | ||||
-0.24 (ER) | ||||
-0.34 (MA) | ||||
0.00 (MZ) | ||||
Genotype | 2 | 16.06 | <0.0001 | -0.23 (TT) |
-0.07 (TC) | ||||
0.00 (CC) | ||||
Sex*Genotype | 2 | 1.58 | 0.2072 | Females |
-0.18 (TT) | ||||
-0.01 (TC) | ||||
0.00 (CC) | ||||
Recessive Genetic Model | ||||
Sex | 1 | 6.12 | 0.0134 | Females 0.21 |
Study Center | 6 | 26.88 | <0.0001 | -0.08 (AC) |
0.38 (BE) | ||||
0.66 (BN) | ||||
0.09 (DU) | ||||
-0.24 (ER) | ||||
-0.35 (MA) | ||||
0.00 (MZ) | ||||
Genotype | 1 | 30.46 | <0.0001 | -0.18 |
Sex*Genotype | 1 | 3.11 | 0.0782 | Females-0.17 |
Linear Regression models after stepwise backward selection of variables (n = 1,705 subjects). Top: Unconstrained genetic model (DF = 11; p < .0001; R² = 0.11; β = 0.95). Bottom: Recessive genetic model (DF = 9; p < .0001; R² = 0.11; β = 0.90). AC = Aachen, BE = Berlin, BN = Bonn, DU = Düsseldorf, ER = Erlangen, MA = Mannheim, MZ = Mainz.