Cannabis use, depression and self‐harm: phenotypic and genetic relationships.
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‐se...
| Publicado en: | Addiction Vol. 115; no. 3; pp. 482 - 493 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141676420&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141676420 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09652140 AIO jtl: Addiction issn: 09652140 maglogo: Y pubinfo: dt: Mar2020 vid: 115 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 141676420 141676420 141676420 10.1111/add.14845 141676420 ppf: 482 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Cannabis use, depression and self‐harm: phenotypic and genetic relationships. aug: au: 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. affil: Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London UK sug: subj: Cannabis Adverse Effects Depression Chemically Induced Injuries, Self-Inflicted Risk Factors Genetics Human Adult Middle Age Aged Phenotype Cross Sectional Studies Tissue Banks United Kingdom United Kingdom Regression Epidemiology, Molecular Methods Treatment Outcomes Odds Ratio Confidence Intervals Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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