We illustrate the application of Mendelian randomization reasoning to GWAS data using the example of two behavioural phenotypes—tobacco and alcohol use. These are phenotypes for which GWAS has identified a number of associated loci. A number of disease outcomes are also known to be associated with tobacco and alcohol use, and therefore serve as proof of principle for our argument that GWAS can identify the effects of modifiable exposures.
