We used a two-sample Mendelian randomization (MR) approach to evaluate 1,037 risk factors/medical conditions and 31 drugs with the risk of late-onset Alzheimer’s disease (AD). MR estimates the unbiased causal association between an exposure and a health outcome by using genetic variants, typically in the form of single-nucleotide polymorphisms (SNPs), as instruments. MR found robust evidence of causal associations between glioma, trunk fat-free and AD. Our study also confirms that higher educational attainment and higher intelligence are associated with a reduced risk of AD.
This repo contains the source codes and harmonized data for each exposure-outcome pair.
- Data folder: harmonized data
- Code folder: source codes
If you have any questions, you can either send Chong Wu (cwu3@fsu.edu) an email or submit your questions under the issues.