Among patients with major depressive disorder (MDD), less than 40% achieve clinical remission after an initial treatment with an antidepressant. For those who do not improve after 2 or more antidepressant treatment trials (ie, treatment-resistant depression), the rates of remission are less than 20%. 1 Because each of these failed treatments translates to several months of prolonged illness, a series of multiple ineffective treatments contributes to the substantial disability and morbidity associated with MDD, as well as to an increase in the suicide risk. There is a critical need for validated biomarkers to predict treatment response and to guide the selection of the most effective next-step antidepressant treatments (ie, using another antidepressant; another treatment, such as psychotherapy or transcranial magnetic stimulation; or a combination). Promising results in this direction have been reported with clinical, 2 electroencephalographic, 3 and neuroimaging 4 variables, but none of these approaches has yet been prospectively validated or translated into clinically useful tests.Among the different biomarker strategies for next-step antidepressant selection, pharmacogenomic testing is most advanced, with several tests currently commercially available. However, the results of randomized clinical trials that have evaluated pharmacogenomic-guided antidepressant selection compared with usual treatment are underwhelming. In 2 studies 5,6 (that involved 450 patients and 100 patients with MDD, respectively), pharmacogenomic-guided treatment was more effective than usual care: at 8 weeks, more patients achieved clinical response (ie, 50% or more reduction in depression severity) with pharmacogenomic-guided treatment than usual care (49% vs 41% in one study 5 and 71.7% vs 43.6% in the other 6 ). However, in several other studies that included 316, 7 1167, 8 304, 9 71, 10 and 371 11 patients with MDD, there was no significant difference between groups in the primary outcome, with only minimal differences in secondary outcomes present in 2 of those studies. 7,8 Study design characteristics may explain the differences in the results, but an analysis of factors that may have contributed to those differences does not increase the level of confidence in the value of pharmacogenomic-guided treatment. For example, most of the studies that reported no significant benefit associated with pharmacogenomic-guided treatment had larger study samples. 8,9,11 Also, several of the studies that reported positive results in primary 5 or secondary outcomes 7 included large proportions of treatment-naive participants, whereas studies that only enrolled patients with previous antidepressant failures reported lower rates of benefit or nonsignificant results. [8][9][10][11] This is especially important because the clinical issue of next-step antidepressant treat-