We examined genes that were identified as significantly associated (P < 2.80 × 10-6) with depression using MAGMA 14 for interactions with prescribed medications using the Drug Gene Interaction Database (dgidb.genome.wustl.edu) v3.0 84. The Anatomical Therapeutic Chemical (ATC) classification system was used to determine the second level classification of each drug identified. ATC classifications for each drug were obtained from the Kyoto Encyclopaedia of Genes and Genomics (https://www.genome.jp/kegg/drug/) as the primary source of information with additional classifications obtained from the World Health Organisation Collaborating Centre for Drug Statistics Methodology (https://www.whocc.no/atc_ddd_index/). Visualisation of the number of interactions between each gene associated with depression and each second level ATC classification was undertaken using the R package circlize v0.4.1 85.
