. 2005 Nov 14;11(42):6656–6661. doi: 10.3748/wjg.v11.i42.6656

Table 1.

Statistical significance of effects of cytokine gene polymorphisms on different parameters

Cytokine gene polymorphism	ALT (upper limit normal)	HCV RNA level	Grade of inflammation	Stage of fibrosis	Steatosis	Lymph follicles	End of treatment response	Sustained response
Cytokine gene polymorphism	ALT (upper limit normal)	HCV RNA level	(0-18)	(0-6)	(0-3)	Lymph follicles	End of treatment response	Sustained response
IL 10 -1082	0.636	0.241	0.029	0.079	0.267	0.848	0.078	0.331
(GA, AA, GG)
IL 10 -819	0.794	0.781	0.412	0.020	0.57	0.295	0.063	0.331
(AC, CC, AA)	0.794	0.781	0.412	0.020	0.57	0.295	0.063	0.331
IL 10 -592	0.582	0.198	0.243	0.281	0.551	0.626	0.416	0.283
(CA, CC)	0.582	0.198	0.243	0.281	0.551	0.626	0.416	0.283
IFNγ -874	0.389	0.848	0.919	0.921	0.955	0.382	0.21	0.933
(AA, TT, TA)	0.389	0.848	0.919	0.921	0.955	0.382	0.21	0.933
TNFα -308	0.952	0.436	0.777	0.307	0.32	0.85	0.674	0.451
(AG, GG)	0.952	0.436	0.777	0.307	0.32	0.85	0.674	0.451
TGFβ -10	0.734	0.72	0.386	0.959	0.232	0.643	0.026	0.206
(CC, TC, TT)	0.734	0.72	0.386	0.959	0.232	0.643	0.026	0.206
IL 1 (C/U)	0.144	0.591	0.964	0.826	0.326	0.836	1.00	1.00

P values were calculated by ANOVA and Pearson’ s χ² test. Statistically significant values. IL: interleukin; IFNγ: interferon gamma; TNFα: tumor necrosis factor alpha; TGFβ: transforming growth factor beta.