Table 2.

Model results of daily positive emotion growth, LKT vs. MT.

Predictor	Fixed effects, b [95% Confidence Interval ]
	OXTR rs2254298a		OXTR rs53576b		OXTR rs1042778c		CD38 rs6449182d		CD38 rs3796863e
Intercept	1.500*	[1.281, 1.719]	1.568*	[1.317, 1.818]	1.406*	[1.178, 1.633]	*1.476	[1.168, 1.784]	*1.638	[1.365, 1.911]
Week	.006	[−.026, .038]	−.014	[−.052, .022]	.024	[−.009, .056]	.010	[−.035, .055]	.016	[−.023, .056]
LKT	.277	[−.027, .580]	.169	[−.175, .512]	.337	[.031, .643]	.175	[−.266, .616]	.119	[−.290, .528]
Genotype	−.032	[−.396, .333]	−.154	[−.506, .198]	.202	[−.153, .557]	.018	[−.360, .394]	−.253	[−.608, .102]
Week × LKT	.025	[−.019, .070]	.048	[−.003, .098]	.004	[−.039, .048]	.010	[−.053, .074]	.002	[−.057, .061]
Week × Genotype	−.018	[−.071, .035]	.026	[−.025, .078]	−.059	[−.109, −.008]	−.015	[−.070, .040]	−.029	[−.080, .023]
LKT × Genotype	−.252	[−.777, .272]	.047	[−.451, .546]	−.392	[−.918, .135]	.036	[−.498, .571]	.152	[−.362, .666]
Week × Genotype × LKT	.053	[−.023, .130]	−.006	[−.078, .066]	.108*	[.034, .183]	.048	[−.030, .125]	.065	[−.010, .139]
			Random Effects
Level 1
VAR(L1 Residual)	.204		.204		.203		.203		.203
Spatial Power	.000		.000		−.000		−.000		−.000
Level 2
VAR(Intercept)	.435		.439		.436		.445		.436
VAR(Week)	.005		.005		.005		.005		.005
COR(Intercept/Week)	−.010		−.015		.018		−.045		−.050
			Model Information
Parameters	13		13		13		13		13
Deviance	4968.1		4970.0		4963.0		4970.3		4966.7

Note:

^*p < .05 after Bonferroni correction. LKT = loving-kindness training. MT = mindfulness training. L1 = Level-1. VAR = variance. COR = correlation.

^aVantage/Non-vantage = A-carriers/GG

^bVantage/Non-vantage = GG/A-carriers.

^cVantage/Non-vantage = GG/T-carriers.

^dVantage/Non-vantage = CC/G-carriers.

^eVantage/Non-vantage = A-carriers/CC.