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Table 1 Table comparing the statistical power of our method and TBTm approach

From: Mapping eQTL by leveraging multiple tissues and DNA methylation

Additive Genetic Effect

G×M Effect

P V E G×M×T

P V E G×T

TBTm

Joint Score Test

NO

NO

0

0

0.041

0.045

NO

NO

7

0

0.139

0.141

NO

NO

10

0

0.415

0.433

NO

NO

0

7

0.097

0.172

NO

NO

7

7

0.234

0.332

NO

NO

10

7

0.472

0.552

NO

NO

0

10

0.218

0.433

NO

NO

7

10

0.341

0.546

NO

NO

10

10

0.547

0.721

NO

YES

0

0

0.351

0.171

NO

YES

7

0

0.511

0.337

NO

YES

10

0

0.719

0.598

NO

YES

0

7

0.388

0.363

NO

YES

7

7

0.565

0.501

NO

YES

10

7

0.708

0.679

NO

YES

0

10

0.525

0.605

NO

YES

7

10

0.653

0.694

NO

YES

10

10

0.782

0.816

YES

NO

0

0

0.155

0.244

YES

NO

7

0

0.296

0.371

YES

NO

10

0

0.543

0.601

YES

NO

0

7

0.229

0.357

YES

NO

7

7

0.389

0.513

YES

NO

10

7

0.57

0.702

YES

NO

0

10

0.425

0.606

YES

NO

7

10

0.522

0.692

YES

NO

10

10

0.708

0.819

YES

YES

0

0

0.487

0.423

YES

YES

7

0

0.627

0.572

YES

YES

10

0

0.753

0.708

YES

YES

0

7

0.536

0.563

YES

YES

7

7

0.69

0.689

YES

YES

10

7

0.78

0.801

YES

YES

0

10

0.648

0.719

YES

YES

7

10

0.761

0.807

YES

YES

10

10

0.821

0.856

  1. This data were generated from 1,000 simulations run on 500 individuals and five tissues with genotypes generated at a common variant allele frequency (MAF = 0.3)