“No Support for Historical Candidate Gene or Candidate Gene-By-Interaction Hypotheses for Major Depression Across Multiple Large Samples”, Richard Border, Emma C. Johnson, Luke M. Evans, Andrew Smolen, Noah Berley, Patrick F. Sullivan, Matthew C. Keller2019 (, , ; backlinks; similar)⁠:

Objective: Interest in candidate gene and candidate gene-by-environment interaction hypotheses regarding major depressive disorder remains strong despite controversy surrounding the validity of previous findings. In response to this controversy, the present investigation empirically identified 18 candidate genes for depression that have been studied 10 or more times and examined evidence for their relevance to depression phenotypes.

Method: Using data from large population-based and case-control samples (_n_s ranging from 62,138 to 443,264 across subsamples), the authors conducted a series of preregistered analyses examining candidate gene polymorphism main effects, polymorphism-by-environment interactions, and gene-level effects across a number of operational definitions of depression (eg. lifetime diagnosis, current severity, episode recurrence) and environmental moderators (eg. sexual or physical abuse during childhood, socioeconomic adversity).

Results: No clear evidence was found for any candidate gene polymorphism associations with depression phenotypes or any polymorphism-by-environment moderator effects. As a set, depression candidate genes were no more associated with depression phenotypes than non-candidate genes. The authors demonstrate that phenotypic measurement error is unlikely to account for these null findings.

Conclusion: The study results do not support previous depression candidate gene findings, in which large genetic effects are frequently reported in samples orders of magnitude smaller than those examined here. Instead, the results suggest that early hypotheses about depression candidate genes were incorrect and that the large number of associations reported in the depression candidate gene literature are likely to be false positives.

Figure 2: Main effects and gene-by-environment effects of 16 candidate polymorphisms on estimated lifetime depression diagnosis and current depression severity in the UK Biobank sample. The graphs show effect size estimates for 16 candidate polymorphisms, presented in order of estimated number of studies from left to right, descending, on estimated lifetime depression diagnosis (panel A) and past-2-week depression symptom severity from the online mental health follow-up assessment (panel B) in the UK Biobank sample (<em>n</em> = 115,257). Both polymorphism main effects and polymorphism-by-environment moderator interaction effects are presented for each outcome. Detailed descriptions of the variables and of the association and power analysis models are provided in Sections S3 & S4, respectively, of the online supplement.
Figure 2: Main effects and gene-by-environment effects of 16 candidate polymorphisms on estimated lifetime depression diagnosis and current depression severity in the UK Biobank sample. The graphs show effect size estimates for 16 candidate polymorphisms, presented in order of estimated number of studies from left to right, descending, on estimated lifetime depression diagnosis (panel A) and past-2-week depression symptom severity from the online mental health follow-up assessment (panel B) in the UK Biobank sample (N = 115,257). Both polymorphism main effects and polymorphism-by-environment moderator interaction effects are presented for each outcome. Detailed descriptions of the variables and of the association and power analysis models are provided in Sections S3 & S4, respectively, of the online supplement.
Figure 3: Gene-wise statistics for effects of 18 candidate genes on primary depression outcomes in the UK Biobank sample. The plot shows gene-wise p-values across the genome, highlighting the 18 candidate polymorphisms’ effects on estimated depression diagnosis (filled points) and past-2-week depression symptom severity (unfilled points) from the online mental health follow-up assessment in the UK Biobank sample (<em>n</em> = 115,257). Gene labels alternate colors to aid readability. Detailed descriptions of the variables and of the association models are provided in Sections S3 & S4.2, respectively, of the online supplement.
Figure 3: Gene-wise statistics for effects of 18 candidate genes on primary depression outcomes in the UK Biobank sample. The plot shows gene-wise p-values across the genome, highlighting the 18 candidate polymorphisms’ effects on estimated depression diagnosis (filled points) and past-2-week depression symptom severity (unfilled points) from the online mental health follow-up assessment in the UK Biobank sample (n = 115,257). Gene labels alternate colors to aid readability. Detailed descriptions of the variables and of the association models are provided in Sections S3 & S4.2, respectively, of the online supplement.