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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)