Cross Ancestry Mendelian Randomisation

The goal of CAMeRa is to estimate causal effects using summary statistics in multiple ancestries. CAMeRa provides:

  1. Selecting genetic instruments for multiple populations.
  2. Estimating the causal effect where exposure and outcome summary statistics are from different ancestral populations.
  3. Jointly modelling causal and pleiotropic effects across multiple populations.

Installation

Install CAMeRa from our MRCIEU R-Universe

install.packages('CAMeRa', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

or from its GitHub repository

install.packages("remotes")
remotes::install_github("MRCIEU/CAMERA")

Example

See the vignettes for examples

Citation

If using this software or methodology please cite:

Yoonsu Cho, Amanda Chong, Tom Palmer, Amy Mason, John Ferguson, David Evans, George Davey Smith, Gibran Hemani. Jointly modelling multiple ancestral populations using GWAS summary data improves causal inference. 27 March 2025, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-6091701/v1