This page provides an overview of our PCA cross-sex MR approach, combining a method to calculate effect estimates from a linear combination of traits from summary statistics and a Mendelian randomisation framework to minimise the bias from a single sample setting.

The manuscript can be found on bioRxiv.

The results can be navigated using the shiny app. The code can be downloaded/cloned from GitHub: https://github.com/JonSulc/PCA_Cross-sex_MR and the required input data files along with the generated genome-wide summary statistics can be downloaded from here.