Table 2.

Distribution of the predictors in the N = 350 ViraHepC participants from which predictors were sampled for simulations. Log odds ratios β and standard errors for the baseline model and models updated with genetic and viral load information separately and combined. Parameter estimates from the baseline model were used as the values γ in equation (2). The baseline model was used Quartile cutoffs for AST/ALT ratio: 0.3165 (Min.), 0.6307 (25%), 0.7705 (50%), 0.9302 (75%); 2.275 (Max.).

Variable	Categories	Distribution	Baseline model	Model with baseline covariates and additionally
				IFNL4 genotype	HCV-RNA	IFNL4 genotype & HCV-RNA	IFNL4 & HCV-RNA & interaction HCV-RNA/Race
			β (std err)	β (std err)	β (std err)	β (std err)	β (std err)
Race	Caucasian	52.7%	Ref	Ref	Ref	Ref	Ref
	Non-white	48.3%	-0.85 (0.241)	-0.58 (0.257)	-0.90 (0.244)	-0.62 (0.261)	2.92 (2.110)
Sex	Male	65.4%	Ref	Ref	Ref	Ref	Ref
	Female	34.6%	0.73 (0.262)	0.74 (0.266)	0.68 (0.264)	0.68 (0.269)	0.63 (0.270)
Ishak fibrosis score	0	10.6%	-0.29 (0.156)	-0.33 (0.159)	-0.29 (0.158)	-0.33 (0.161)	-0.33 (0.162)
(ordinal)	1-2 3-4 5-6	52.9%
	1-2	29.7%
	3-4	6.9%
AST/ALT ratio	per quartile		-0.39 (0.117)	-0.34 (0.119)	-0.37 (0.118)	-0.32 (0.121)	-0.31 (0.120)
(ordinal)
IFNL4	∆G/(∆G or TT)	72.0%	-	Ref	-	Ref	Ref
	TT/TT	28.0%	-	0.90 (0.279)	-	0.93 (0.282)	0.92 (0.282)
log10HCV-RNA level	-	6.5(5.6,6.8)	-	-	-0.38 (0.158)	-0.41 (0.162)	-0.20 (0.196)
(median, IQRα)
HCV-RNA:Race interact.							-0.57 (0.340)
AUC*			0.701	0.725	0.712	0.738	0.739

^aIQR - Intra-quartile range (25th percentile - 75th percentile);

^*AUC based on c-statistics from SAS PROC logistic