Fig. 1

a. Power curves of three statistics: the BFGM, regression on PCA, SFGM, for testing interaction between two genomic regions that consist of rare variants with the RNA-seq trait as a function of the relative risk parameter r at the significance level α = 0.05 under the Dominant OR Dominant model, assuming sample sizes of 2,000. b. Power curves of three statistics: the BFGM, regression on PCA, SFGM, for testing interaction between two genomic regions that consist of rare variants with RNA-seq trait as a function of the relative risk parameter r at the significance level α = 0.05 under the Dominant AND Dominantmodel, assuming sample sizes of 2,000. c. Power curves of three statistics: the BFGM, regression on PCA, SFGM, for testing interaction between two genomic regions that consist of rare variants with RNA-seq trait as a function of the relative risk parameter r at the significance level α = 0.05 under the Recessive OR Recessive model, assuming sample sizes of 2,000. d. Power curves of three statistics: the BFGM, regression on PCA, SFGM, for testing interaction between two genomic regions that consist of rare variants with RNA-seq trait as a function of the relative risk parameter r at the significance level α = 0.05 under the Threshold model, assuming sample sizes of 2,000