Cannabis use, depression and self‐harm: phenotypic and genetic relationships

• Published in: Addiction (Abingdon, England) England), 2020-03, Vol.115 (3), p.482-492
• Main Authors: Hodgson, Karen, Coleman, Jonathan R. I., Hagenaars, Saskia P., Purves, Kirstin L., Glanville, Kylie, Choi, Shing Wan, O'Reilly, Paul, Breen, Gerome, Lewis, Cathryn M.
• Format: Article
• Language: English
• Subjects: Adult; Aged; Assessment centers; Biobanks; Biological Specimen Banks; Cannabis; Cannabis use; Causality; Consortia; Cross-Sectional Studies; depression; Depression - genetics; Drug addiction; Drug use; Female; genetic correlation; Genetic relationship; Genetics; Genome-wide association studies; Genome-Wide Association Study; Genomes; Genomics; heritability; Humans; Lod Score; Male; Marijuana; Marijuana Use - genetics; Mendelian randomization; Mendelian Randomization Analysis; Mental depression; Middle Aged; Multifactorial Inheritance; Phenotype; Polygenic inheritance; polygenic risk; Recurrent; Self destructive behavior; Self-Injurious Behavior - genetics; self‐harm; Statistical power; Statistics; UK biobank; United Kingdom
• ISSN: 0965-2140; 1360-0443
• DOI: 10.1111/add.14845

Background and Aims The use of cannabis has previously been linked to both depression and self‐harm; however, the role of genetics in this relationship is unclear. This study aimed to estimate the phenotypic and genetic associations between cannabis use and depression and self‐harm. Design Cross‐sectional data collected through UK Biobank were used to test the phenotypic association between cannabis use, depression and self‐harm. UK Biobank genetic data were then combined with consortia genome‐wide association study summary statistics to further test the genetic relationships between these traits using LD score regression, polygenic risk scoring and Mendelian randomization methods. Setting United Kingdom, with additional international consortia data. Participants A total of 126 291 British adults aged between 40 and 70 years, recruited into UK Biobank. Measurements Phenotypic outcomes were life‐time history of cannabis use (including initial and continued cannabis use), depression (including single‐episode and recurrent depression) and self‐harm. Genome‐wide genetic data were used and assessment centre, batch and the first six principal components were included as key covariates when handling genetic data. Findings In UK Biobank, cannabis use is associated with an increased likelihood of depression [odds ratio (OR) = 1.64, 95% confidence interval (CI) = 1.59–1.70] and self‐harm (OR = 2.85, 95% CI = 2.69–3.01). The strength of this phenotypic association is stronger when more severe trait definitions of cannabis use and depression are considered. Using consortia genome‐wide summary statistics, significant genetic correlations are seen between cannabis use and depression [rg = 0.289, standard error (SE) = 0.036]. Polygenic risk scores for cannabis use and depression explain a small but significant proportion of variance in cannabis use, depression and self‐harm within a UK Biobank target sample. However, two‐sample Mendelian randomization analyses were not significant. Conclusions Cannabis use appeared to be both phenotypically and genetically associated with depression and self‐harm. Limitations in statistical power mean that conclusions could not be made on the direction of causality between these traits.