Table 3.

Genotype-Specific Effects (Beta) of Emotions on Fridericia's QTc, Estimated via a Single Conditional Linear Model for QTc, Simultaneously Including All Emotions and Their Interactions with Genotype.

Emotion Predictor	LQT1 Beta (SE) p	LQT2 Beta (SE) p	Interaction p-value
Activated Positive Affect: 2-4 vs. 0-1	−4.7 (1.2) <.001	−12.9 (3.4) <.001	.02
Activated Positive Affect: 5-6 vs. 0-1	−5.4 (1.3) <.001	−20.6 (4.6) <.001	.002
Low Arousal Positive Affect: 2-4 vs. 0-1	+0.3 (1.1) .75	+4.6 (2.0) .02	.06
Low Arousal Positive Affect: 5-6 vs. 0-1	+1.5 (1.4) .26	+10.7 (3.0) <.001	.005
Activated Negative Affect: >0 vs. 0	−1.2 (0.8) .16	−4.1 (1.8) .03	.15
Low Arousal Negative Affect: >0 vs. 0	−1.1 (0.9) .22	−1.2 (2.4) .61	.97
Overall 6-df Robust F-test of Interaction			.001

Genotype-specific regression coefficients (Beta), SE, and p-values in the second and third columns refer to that genotype group alone, whereas the interaction p-values in the fourth column test equality of the genotype-specific effects for each emotion predictor (and overall, bottom row). R² = 4.1% for this 12-parameter genotype interaction model, which does not include additional adjustments for heart rate and its interaction with genotype.