SLC6A4 and depressive symptom measurement: In addition to the Culverhouse et al. (2018) study, another recent large-state analysis imputed data (i.e., did not genotype directly, but inferred genotype from tagging single nucleotide polymorphisms) from large population-based and case-control samples (Ns ranging from 62,138 to 443,264 across subsamples) for 18 candidate genes (including SLC6A4 and BDNF, but not FKBP5 or OXTR) and also failed to find support for any main effect or interaction predicting depression (Border et al., 2019).