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. Author manuscript; available in PMC: 2022 Aug 1.
Published in final edited form as: Nat Genet. 2022 Jan 20;54(2):161–169. doi: 10.1038/s41588-021-00987-9

Figure 3: Evaluation of mmQTL workflow on real data.

Figure 3:

A) Increasing the number of brain regions from GTEx increases the effective sample size. B) Increasing the number of brain regions from GTEx decreases the median 95% credible set size. P-values are shown from a one-sided Kolmogorov–Smirnov test between adjacent categories. Box plot indicates median, interquartile range (IQR) and 1.5*IQR. C) Including additional datasets increases the proportion of genes with a detectable primary or conditional eQTL. Colors indicate degree of eQTL. Panel is divided into regions showing 1) GTEx and ROSMAP results; 2) PsychENCODE (PEC) data analyzed here, and published PEC summary statistics15; 3) adding an increasing number of GTEx brain tissues to the PEC+ROSMAP results; 4) final version merging PEC+ROSMAP+GTEx.