Fig. 5
From: variancePartition: interpreting drivers of variation in complex gene expression studies
Analysis of GTEx dataset identifies drivers of expression variation at multiple levels. a Violin and box plots of percent variation in gene expression explained by each variable. b Results from variancePartition analysis allowing the contribution of individual to vary in each tissue. c Probability of each gene having a cis-eQTL plotted against the percent variance explained by individual within each tissue. Dashed lines indicate the genome-wide average probability, and curves indicate logistic regression smoothed probabilities as a function of the percent variance explained by individual within each tissue. The p-value indicates the probability that a more extreme coefficient relating the eQTL probability to percent variation explained by individual is observed under the null hypothesis. d Fraction of variation in GLMP explained by each source of variation. e GLMP has a cis-eQTL active in blood but not skin