MRLocus - see this page for typical order of functions

Mendelian Randomization per locus, leveraging eQTL and GWAS summary statistics, for estimation of gene-to-trait effect size and dispersion.

The main functions (in order of typical usage) are:

• collapseHighCorSNPs - collapse high correlation SNPs

• flipAllelesAndGather - flip alleles and gather for colocalization

• fitBetaColoc - perform colocalization across signal clusters

• extractForSlope - extract one SNP per signal cluster for MR analysis

• fitSlope - perform MR analysis to estimate gene-to-trait effect

• plotMrlocus - plot estimates from MR analysis

• priorCheck - perform prior predictive checks

References

Anqi Zhu*, Nana Matoba*, Emmaleigh Wilson, Amanda L. Tapia, Yun Li, Joseph G. Ibrahim, Jason L. Stein, Michael I. Love. MRLocus: identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity. (2020) bioRxiv https://doi.org/10.1101/2020.08.14.250720

Stan Development Team (2019). RStan: the R interface to Stan. R package version 2.19.2. https://mc-stan.org