We first used a principal component analysis to evaluate overall variation in exon-level expression data, and found that tissue source is the most important determinant of that variation (Figure 2). We have therefore implemented genome-wide screens for SNPs controlling gene expression and splicing (referred to as expression quantitative trait locus [eQTL] and splicing quantitative trait locus [sQTL], respectively) separately in the tissue types.
