Molecular Vision: Jia, Mol Vis 2009; 15:89-98. Table 4

Table 4. Multi-locus interactions by the multifactor dimensionality reduction approach.

Best candidate model*	Testing accuracy (%)	p value (sign test)	CVC
−219T>G	43.61	0.999	5/10
IVS8–53T>C and IVS5+30C>T	52.5	0.377	7/10
IVS2+35A>G, IVS5+30C>T, and −219T>G	43.59	1.0	4/10
IVS2+35A>G, IVS5+30C>T, −219T>G, and 290C>T	47.53	0.945	9/10
A488A, IVS5+38, IVS5+30C>T, −427T>C, and −219T>G	49.16	0.623	10/10
IVS2+35A>G, M98K, IVS5+38T>G, IVS8–53T>C, IVS5+30C>T, and −491A>T	55.14	0.0107	10/10

Interaction models with one to six factors generated by the MDR program were shown in the table. The six-factor model with highest CVC (10/10) and maximum testing accuracy (55.14%) was selected as the best model in this study. The asterisk indicates that as the sample numbers in cases and controls are dissimilar in this study, the T value, which is the threshold ratio used to distinguish high-risk genotype combinations from low risk genotype combinations, was set to 0.88 (number of cases/number of controls, i.e., 176/200) while running the MDR program. CVC: cross-validation consistency.