Table 6 MDR analysis for the prediction of ESCC risk with and without PIK3R1 & mTOR genotypes

From: Associations of PI3KR1 and mTOR Polymorphisms with Esophageal Squamous Cell Carcinoma Risk and Gene-Environment Interactions in Eastern Chinese Populations

Best interaction models

Cross-validation

Average prediction error

P a

1

100/100

0.394

< 0.0001

1, 2

100/100

0.394

< 0.0001

1, 2, 3

98/100

0.386

< 0.0001

1, 2, 3, 4

93/100

0.379

< 0.0001

1, 2, 3, 4, 5

100/100

0.370

< 0.0001

1, 2, 3, 4, 5, 6

100/100

0.367

< 0.0001

1, 2, 3, 4, 5, 6, 7

92/100

0.358

< 0.0001

1, 2, 3, 4, 5, 6, 7, 8

94/100

0.350

< 0.0001

1, 2, 3, 4, 5, 6, 7, 8, 9

100/100

0.341

< 0.0001

1, 2, 3, 4, 5, 6, 7, 8, 9, 10

100/100

0.340

< 0.0001

  1. MDR, multifactor dimensionality reduction.
  2. aP value for 1000-fold permutation test.
  3. The best model with maximum cross-validation consistency and minimum prediction error rate was in bold.
  4. Labels: 1, BMI; 2, smoking status; 3, sex; 4, age; 5, drink status; 6, PIK3R1 rs3730089; 7, mTOR rs2295080; 8, PIK3R1 rs3730090; 9, mTOR rs1057079; 10, mTOR rs1064061.
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