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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Mapping eQTL by leveraging multiple tissues and DNA methylation

Fig. 2

eQTL identification using TBT-eQTL, JAGUAR and our method in the presence and absence of DNA methylation effects. a In the absence of methylation data, statistical power from the joint analysis of genotype and tissue-specific interaction using JAGUAR is marginally better than our joint score test. A tissue-by-tissue (TBT-eQTL) method is also used for comparison. The x-axis denotes the proportion of variance explained by the G×T effect and the y-axis denotes the statistical power. These 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). b In the presence of DNA methylation effect, our method out performs JAGUAR and tissue-by-tissue analyses. The top two rows in the figure indicate P V E G×T and P V E G×M×T , respectively, on the x-axis. Statistical power is denoted on the y-axis. These 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)

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