ArticleAddiction biology2018
Whole genome sequence study of cannabis dependence in two independent cohorts.
Article in Addiction biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- KChIP4a is a Biophysical Amplifier of Inhibition in Atypical Dopamine Neurons and Controls Learning from Negative Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- A single-nucleus multiome analysis of transcriptome and chromatin accessibility reveals cell-type-specific immune modulation for chronic cannabis use among people with HIV infection.bioRxiv : the preprint server for biology · 2026Article
- Transcription factors implicated in substance use disorder, from immediate early genes to altered gene expression.Brain research · 2026Review
- Genetic risk for alcohol use disorder in relation to individual symptom criteria: Do polygenic indices provide unique information for understanding severity and heterogeneity?Addiction (Abingdon, England) · 2025Article
- Genetic risk for trait aggression and alcohol use predict unique facets of alcohol-related aggression.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- The genetic landscape of substance use disorders.Molecular psychiatry · 2024Review
- Astrocytic transcriptional and epigenetic mechanisms of drug addiction.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Pleiotropic loci for cannabis use disorder severity in multi-ancestry high-risk populations.Molecular and cellular neurosciences · 2023Article
- The genetic aetiology of cannabis use: from twin models to genome-wide association studies and beyond.Translational psychiatry · 2022Review
- Association of Predicted Expression and Multimodel Association Analysis of Substance Abuse Traits.Complex psychiatry · 2022Article
- Effects of genetic risk for alcohol dependence and onset of regular drinking on the progression to alcohol dependence: A polygenic risk score approach.Drug and alcohol dependence · 2022Article
- Genomic and Personalized Medicine Approaches for Substance Use Disorders (SUDs) Looking at Genome-Wide Association Studies.Biomedicines · 2021Review
- Genetics of substance use disorders: a review.Psychological medicine · 2021Article
- Cannabis use, abuse, and withdrawal: Cannabinergic mechanisms, clinical, and preclinical findings.Journal of neurochemistry · 2021Review
- Cannabis use and cannabis use disorder.Nature reviews. Disease primers · 2021Review
- A Contagion Model for Within-Family Transmission of Drug Abuse.The American journal of psychiatry · 2019Article
- Gene variants and educational attainment in cannabis use: mediating role of DNA methylation.Translational psychiatry · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Recent advances in genome wide sequencing techniques and analytical methods allow for more comprehensive examinations of the genome than microarray-based genome-wide association studies (GWAS). The present report provides the first application of whole genome sequencing (WGS) to identify low frequency variants involved in cannabis dependence across two independent cohorts. The present study used low-coverage whole genome sequence data to conduct set-based association and enrichment analyses of low frequency variation in protein-coding regions as well as regulatory regions in relation to cannabis dependence. Two cohorts were studied: a population-based Native American tribal community consisting of 697 participants nested within large multi-generational pedigrees and a family-based sample of 1832 predominantly European ancestry participants largely nested within nuclear families. Participants in both samples were assessed for Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) lifetime cannabis dependence, with 168 and 241 participants receiving a positive diagnosis in each sample, respectively. Sequence kernel association tests identified one protein-coding region, C1orf110 and one regulatory region in the MEF2B gene that achieved significance in a meta-analysis of both samples. A regulatory region within the PCCB gene, a gene previously associated with schizophrenia, exhibited a suggestive association. Finally, a significant enrichment of regions within or near genes with multiple splice variants or involved in cell adhesion or potassium channel activity were associated with cannabis dependence. This initial study demonstrates the potential utility of low pass whole genome sequencing for identifying genetic variants involved in the etiology of cannabis use disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.