Mendelian randomization studies: using naturally randomized genetic data to fill evidence gaps

Mendelian randomization studies have the potential to transform our understanding of cardiovascular medicine by generating naturally randomized data that can fill evidence gaps when a randomized trial would be either impossible or impractical to conduct. Here, we review recent Mendelian randomization studies evaluating the effect of low-density lipoprotein cholesterol (LDL-C) on the risk of coronary heart disease (CHD).

Mendelian randomization studies consistently demonstrate that LDL-C is causally associated with the risk of CHD. Furthermore, exposure to genetically mediated lower LDL-C appears to be associated with a much greater than expected reduction in CHD risk, thus suggesting that LDL-C has a cumulative effect on the risk of CHD. In addition, genetically mediated lower LDL-C is log-linearly associated with the risk of CHD and the effect of polymorphisms in multiple different genes on the risk of CHD is remarkably consistent when measured per unit lower LDL-C.

The naturally randomized genetic evidence suggests that LDL-C has a causal and cumulative effect on the risk of CHD, and that the clinical benefit of exposure to lower LDL-C is determined by the absolute magnitude of exposure to lower LDL-C independent of the mechanism by which LDL-C is lowered.