Table 6.

Logistic regression on genotypic models in OCT1 and ABCB1 across uncontrolled patients. (n = 103).

Gene (SNP)	Control	No Control	OR (IC95%)	p-Value
OCT1 (rs72552763)
GAT/GAT	23	21	1.0 (ref)
del/GAT	18	28	1.704 (0.738–3.935)	0.212
del/del	7	6	0.939 (0.272–3.246)	0.920
Dominant genotype model
Del/del + del/GAT vs. GAT/GAT	25/23	34/21	1.490 (0.679–3.266)	0.320
aDel/del + del/GAT vs. GAT/GAT	25/23	34/21	1.207 (0.395–3.691)	0.741
OCT1 (rs622342)
AA	22	19	1.0 (ref.)
AC	15	25	1.930 (0.795–4.685)	0.146
CC	11	11	1.158 (0.411–3.266)	0.782
Dominant genotype model
CC + AC vs. AA	26/22	36/19	1.603 (0.724–3.549)	0.244
aCC + AC vs. AA	26/22	36/19	1.914 (0.603–6.080)	0.271
ABCB1 (rs1128503)
Genotype
CC	13	14	1.0 (ref.)
CT	19	26	1.271 (0.487–3.316)	0.624
TT	16	15	0.871 (0.310–2.445)	0.792
Dominant genotype model
TT + CT vs. CC	35/13	41/14	1.088 (0.451–2.621)	0.851
aTT + CT vs. CC	35/13	41/14	1.817 (0.494–6.691)	0.369
ABCB1 (rs2032582)
GG	17	17	1.0 (ref.)
GT	21	22	1.048 (0.426–2.576)	0.919
TT	8	9	1.125 (0.351–3.609)	0.843
TA	0	2	-
GA	2	4	2 (0.322–12.414)	0.457
Dominant genotype model
GA + TA + TT+ GT vs. GG	31/17	37/17	1.194 (0.523–2.722)	0.674
aGA + TA + TT+ GT vs. GG	31/17	37/17	1.933 (0.582–6.425)	0.282

^a Adjusted by age, treatment period, drug therapy, and BMI.