Table 3. The models inheritance for -137G/C and -607C/A in HBV recurrence patients and nonrecurrence control subjects.

	No	Yes	OR a(95% CI b)	P value	AIC c	BIC d
-137G/C Model
Codominant				0.44	82.6	91
G/G	85 (78%)	11 (91.7%)	1.00
G/C	22 (20.2%)	1 (8.3%)	0.35 (0.04–2.87)
C/C	2 (1.8%)	0 (0%)	0.00 (0.00–NA)
Dominant				0.22	80.7	86.3
G/G	85 (78%)	11 (91.7%)	1.00
G/C-C/C	24 (22%)	1 (8.3%)	0.32 (0.04–2.62)
Recessive				0.52	81.8	87.4
G/G-G/C	107 (98.2%)	12 (100%)	1.00
C/C	2 (1.8%)	0 (0%)	0.00 (0.00–NA)
Overdominant				0.28	81.1	86.7
G/G-C/C	87 (79.8%)	11 (91.7%)	1.00
G/C	22 (20.2%)	1 (8.3%)	0.36 (0.04–2.93)
Log-additive	—	—	0.33 (0.04–2.52)	0.21	80.6	86.2
-607C/A Model
Overdominant				0.22	81.2	89.6
C/C	37 (33.9%)	3 (25%)	1.00
C/A	46 (42.2%)	8 (66.7%)	2.14 (0.53–8.66)
A/A	26 (23.9%)	1 (8.3%)	0.47 (0.05–4.82)
Dominant				0.52	81.8	87.4
C/C	37 (33.9%)	3 (25%)	1.00
C/A-A/A	72 (66.1%)	9 (75%)	1.54 (0.39–6.04)
Recessive				0.18	80.4	86
C/C-C/A	83 (76.2%)	11 (91.7%)	1.00
A/A	26 (23.9%)	1 (8.3%)	0.29 (0.04–2.36)
Overdominant				0.11	79.6	85.2
C/C-A/A	63 (57.8%)	4 (33.3%)	1.00
C/A	46 (42.2%)	8 (66.7%)	2.74 (0.78–9.65)
Log-additive	—	—	0.88 (0.39–2.00)	0.77	82.1	87.7

^a Odds ratio

^b Confidence Interval

^c Akaike’s information criterion

^d Bayesian information criterion