In epidemiology, Mendelian randomization is a method of using measured variation in genes of known function to examine the causal effect of a modifiable exposure on disease in non-experimental studies. The design was first described by Gray and Wheatley (1991) as a method for obtaining unbiased estimates of the effects of a putative causal variable without conducting a traditional randomised trial. These authors also coined the term Mendelian randomization.
Read more about Mendelian Randomization: Background: The Problem of Spurious Findings in Observational Epidemiology, The Mendelian Randomization Approach
Other articles related to "mendelian randomization":
... Mendelian randomization is a method that allows one to test for, or in certain cases to estimate, a causal effect from observational data in the presence of confounding factors ... In this regard, Mendelian randomization can be thought of as a “natural” RCT ... Mendelian randomization relies on getting good estimates from genetic association studies ...