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. Author manuscript; available in PMC: 2023 Jun 8.
Published in final edited form as: Nat Genet. 2022 Dec 12;55(1):112–122. doi: 10.1038/s41588-022-01248-z

Extended Data Fig. 8 |. Evaluation of mQTL-GWAS colocalization approach.

Extended Data Fig. 8 |

(a) Density plot of mQTL-GWAS colocalization scores based on coloc run with default (y axis) and fastenloc-derived priors (x axis) on UKB standing height GWAS; Spearman’s rho is shown. Each dot corresponds to a colocalization test for a particular GWAS hit, independent mQTL and tissue combination. (b) Density plot of mQTL-GWAS colocalization scores based on coloc (x axis) and fastenloc (y axis) approaches on all GWASs; Spearman’s rho is shown. Each dot corresponds to a colocalization test for a particular GWAS, GWAS hit, independent mQTL and tissue combination. Dots within the top-right quadrant correspond to significant (RCP > 0.3 and PP4 > 0.3) colocalizations. PP4: coloc-derived posterior probability where the two traits share a single causal variant. RCP: fastenloc-derived probability of a genomic region harboring a colocalized signal.