Hello everyone,
I am planning to perform a two-sample Mendelian Randomization (MR) analysis to investigate the causal relationship between two diseases (both binary traits).
My main questions are:
Are GWAS summary statistics (effect sizes, SE, allele information, case/control numbers etc.) sufficient to conduct a robust two-sample MR between two diseases, or is individual-level genotype data required?
What are the key steps and best practices I should follow to ensure the validity of my analysis (e.g., instrument selection, harmonization, pleiotropy tests, liability scale transformation)?
Are there any recommended resources, tutorials, or example studies where two-sample MR was successfully applied in disease–disease settings?
I would be grateful if anyone with experience in similar analyses could share their insights, tips, or pitfalls to avoid.
Thank you very much in advance!
