학술논문

Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium.
Document Type
article
Source
Translational psychiatry. 6(3)
Subject
Humans
Marijuana Abuse
Carrier Proteins
Potassium Channels
Cell Adhesion Molecules
Membrane Proteins
Marijuana Smoking
Adolescent
Adult
Aged
Aged
80 and over
Middle Aged
Female
Male
Genome-Wide Association Study
Young Adult
CD56 Antigen
Potassium Channels
Sodium-Activated
and over
Sodium-Activated
Antigens
CD56
Genetics
Tobacco
Substance Abuse
Human Genome
Drug Abuse
Brain Disorders
Pediatric Research Initiative
Tobacco Smoke and Health
Prevention
Biotechnology
Clinical Research
2.1 Biological and endogenous factors
Mental Health
Psychology
Clinical Sciences
Public Health and Health Services
Language
Abstract
Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P