As a post-bacc at the Jackson Laboratory, my main research focus has been mediation analysis. A primary objective of mediation analysis is to infer the relationship among three variables, and it is becoming increasingly common to use it with multi-omics data to understand causal pathways underlying a phenotype. Mediation analysis is often done without distinguishing variation due to causal relationships from variation due to measurement noise, which can have a profound effect on inferences. In this analysis, we address the impact of applying a standard mediation analysis to data as if it is measured without error and identify ways to diagnose the accuracy of results from real data.