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Table 2 Performance of OMDR

From: Identification of multiple gene-gene interactions for ordinal phenotypes

 

Single-locus classifier

Two-locus classifier

Three-locus classifier

 

EP (SEP)

GCVC

TSTB

TRTB

EP

GCVC

TSTB

TRTB

EP (TEP)

GCVC

TSTB

TRTB

Model 11

0.38 (0.25)

0.689

0.055

0.097

1.00

1.000

0.444

0.443

1.00 (0.05)

0.514

0.429

0.455

Model 12

0.27 (0.14)

0.667

0.043

0.093

1.00

1.000

0.264

0.278

1.00 (0.05)

0.518

0.256

0.315

Model 13

0.26 (0.16)

0.615

0.046

0.095

0.93

0.883

0.139

0.174

0.87 (0.05)

0.458

0.128

0.224

Model 21

1.00 (0.55)

0.883

0.159

0.175

1.00

1.000

0.395

0.401

1.00 (0.04)

0.480

0.388

0.417

Model 22

0.99 (0.53)

0.881

0.150

0.167

1.00

1.000

0.297

0.306

1.00 (0.05)

0.432

0.267

0.330

Model 23

0.95 (0.54)

0.874

0.115

0.134

0.99

0.993

0.230

0.249

1.00 (0.08)

0.504

0.224

0.292

Model 31

1.00 (1.00)

1.000

0.225

0.229

1.00

1.000

0.514

0.513

1.00 (0.03)

0.507

0.505

0.527

Model 32

1.00 (1.00)

0.997

0.192

0.197

1.00

1.000

0.373

0.375

1.00 (0.06)

0.531

0.356

0.397

Model 33

0.44 (0.31)

0.714

0.061

0.099

1.00

0.997

0.194

0.208

0.99 (0.05)

0.537

0.185

0.245

Model 41

1.00 (0.56)

0.904

0.131

0.144

1.00

0.999

0.252

0.264

1.00 (0.06)

0.544

0.255

0.300

Model 42

1.00 (0.55)

0.887

0.149

0.164

0.90

0.883

0.204

0.217

0.94 (0.05)

0.454

0.189

0.247

Model 43

0.73 (0.41)

0.816

0.083

0.107

0.28

0.485

0.068

0.146

0.23 (0.02)

0.346

0.061

0.197

Model 51

1.00 (0.51)

0.865

0.341

0.355

1.00

1.000

0.478

0.484

1.00 (0.05)

0.480

0.477

0.512

Model 52

1.00 (0.51)

0.885

0.247

0.263

1.00

0.998

0.334

0.344

1.00 (0.05)

0.473

0.325

0.377

Model 53

0.91 (0.46)

0.860

0.092

0.117

0.38

0.557

0.086

0.153

0.47 (0.04)

0.426

0.099

0.204

Average

0.80 (0.50)

0.836

0.139

0.162

0.90

0.920

0.285

0.304

0.90 (0.05)

0.483

0.276

0.336

  1. It is presented with EP (empirical power), average GCVC (K = 1), average TSTB (testing tau-b), average TRTB (training tau-b), and their average values over models. Note that true causal factor was a two-locus classifier (i.e., two-way interaction). SEP indicates EP of single-locus classifier whose EP is largest among all single-locus classifiers included in the true causal interaction. TEP indicates EP of three-locus classifier whose EP is largest among all three-locus classifiers containing the true causal interaction.
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BMC Medical Genomics

ISSN: 1755-8794

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