Table 3. Genotypic model analysis of relationship between SNPs and steroid-induced ONFH risk.

Model	Genotype	Group = control	Group = Hormone	Without Adjustment		With Adjustment
				OR (95% CI)	pa-value	OR (95% CI)	pa-value
Codominant	G/G	364 (71.8%)	226 (79.3%)	1		1
	G/T	133 (26.2%)	55 (19.3%)	0.67 (0.47–0.95)	0.063	0.69 (0.48–1.00)	0.100
	T/T	10 (2%)	4 (1.4%)	0.64 (0.20–2.08)		0.56 (0.17–1.92)
Dominant	G/G	364 (71.8%)	226 (79.3%)	1		1
					0.019*		0.034*
	G/T-T/T	143 (28.2%)	59 (20.7%)	0.66 (0.47–0.94)		0.68 (0.47–0.98)
Recessive	G/G-G/T	497 (98%)	281 (98.6%)	1		1
					0.550		0.420
	T/T	10 (2%)	4 (1.4%)	0.71 (0.22–2.28)		0.61 (0.18–2.08)
Overdominant	G/G-T/T	374 (73.8%)	230 (80.7%)	1		1
					0.026*		0.055
	G/T	133 (26.2%)	55 (19.3%)	0.67 (0.47–0.96)		0.70 (0.48–1.01)
Log-additive	—	—	—	0.70 (0.51–0.96)	0.022*	0.70 (0.51–0.98)	0.033*

^*p ≤ 0.05.

Bonferroni's multiple adjustment was applied to the level of significance, which was set at p ≤ 0.00104 (0.05/48).

p values were calculated by Wald test by unconditional logistic regression adjusted for age and gender.