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. 2018 Jan 9;28:162–167. doi: 10.1016/j.ebiom.2017.12.028

Table 4.

Linear model analysis using different dopamine scores.

Dopamine score AIC Parameter estimate p value
5-gene score 200.621 1·897 0.010
4-gene score without DRD1 202.871 1·785 0.030
4-gene score without DRD2 201.554 2·269 0.016
4-gene score without DRD3 198.989 2·306 0.005
4-gene score without COMT 202.270 1·906 0.023
4-gene score without DAT 202.568 2·121 0.026
DRD1 only 204.568 4·650 0.070
DRD2 only 205.621 2·946 0.122
DRD3 only 208.455 0·343 0.858
COMT only 205.722 3·710 0.128
DAT only 204.096 3·630 0.056

The dependent variable was the change in AHA-units from baseline to after the intervention. Various dopamine gene scores were used as explanatory variables together with age, sex, and BDNF gene score. Dopamine four-gene scores were formed by removing each single-gene contribution, and the contribution of each gene was calculated by using only that single gene in the model. The table shows the Akaike Information Criteria (AIC) for each model (lower values correspond to a better model), coefficient estimates for the dopamine score variables, and corresponding p-values.