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. 2017 Jan 5;26(5):1003–1017. doi: 10.1093/hmg/ddw417

Figure 1.

Figure 1.

Heatmap of candidate-causal eQTLs and eGenes detected across the four expression-quantification types. Relative association P-values are shown. If a candidate-causal association (marked *) is identified in at least one quantification type, then the P-value is shown for all quantifications (no * means the association is not candidate-causal). Rows are ordered by decreasing cumulative significance. To normalize across quantification types, relative significance of each association per column was calculated as the –log2 (P/Pmax); where Pmax is the most significant association per quantification type. Data used for heatmap are found in Supplementary Materials, Tables S2, S3, S4, S8 for microarray, gene-level, exon-level, and splice-junction level eQTL analysis respectively.