Table 5.

EHB-GE hyperparameter estimates and variance estimates for the different models

	GLC		CE-IARC		MDACC	SLRI
	NE	MH	NE	MH	MH	NE	MH
θ	3×10−6	10−6	0.017	0.066	0.079	10−6	10−6
p	0.004	0.005	0.152	0.039	0.003	0.004	0.006
σ	2.18×10−5	10−10	10−10	10−10	1.5×10−5	7.59×10−6	10−10
posterior (σcontrols)	3.09×10−5	1.68×10−4	0.0119	0.0129	4.6×10−3	2.95×10−5	3.46×10−4
Mean* (var EHB-GE/ var MUK-EB)	0.949	0.752	0.965	0.845	0.822	0.873	0.816

θ,σ,p level 2 parameters of the hierarchical model; θ strength of a population-based G-E correlation, σ scaling parameter, p proportion of SNPs with G-E correlation; posterior (σ _controls) estimated average posterior variance of G-E correlations within controls;

^*ratio calculated for each SNP (comparing Variance of EHB-GE with that of the MUK-EB method); NE = never vs. ever, MH = moderate vs. heavy; Studies: GLC, CE-IARC; MDACC; SLRI