For example, in this study, we illustrated how controlling for a third variable (i.e., adiposity) that has a causal effect on a focal predictor (i.e., IL-6 or CRP), reduces estimate precision when quantifying associations between the focal predictor and downstream descendants (i.e., depression symptoms). Here, CRP is linked to depressive disorder.