GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia

التفاصيل البيبلوغرافية
العنوان: GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia
المصدر: Nature neuroscience. 21(9):1161-1170
سنة النشر: 2018
مصطلحات موضوعية: Adult, Male, Adolescent, Genotype, Single Nucleotide, Mendelian Randomization Analysis, Middle Aged, Gene Expression Regulation/genetics, Schizophrenia/chemically induced, Marijuana Abuse/genetics, Databases, Young Adult, Mental Health, Risk-Taking, Genetic, 80 and over, Humans, Female, Genetic Predisposition to Disease, Polymorphism, Cell Adhesion Molecules/genetics, Aged, Genome-Wide Association Study
الوصف: Cannabis use is a heritable trait that has been associated with adverse mental health outcomes. In the largest genome-wide association study (GWAS) for lifetime cannabis use to date (N = 184,765), we identified eight genome-wide significant independent single nucleotide polymorphisms in six regions. All measured genetic variants combined explained 11% of the variance. Gene-based tests revealed 35 significant genes in 16 regions, and S-PrediXcan analyses showed that 21 genes had different expression levels for cannabis users versus nonusers. The strongest finding across the different analyses was CADM2, which has been associated with substance use and risk-taking. Significant genetic correlations were found with 14 of 25 tested sub-stance use and mental health-related traits, including smoking, alcohol use, schizophrenia and risk-taking. Mendelian randomization analysis showed evidence for a causal positive influence of schizophrenia risk on cannabis use. Overall, our study provides new insights into the etiology of cannabis use and its relation with mental health.
اللغة: English
تدمد: 1097-6256
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dris___00893::7ed8f11df23000f14e39e4d9e514674a
https://hdl.handle.net/11370/a53dd95e-9435-4efa-9c24-7933f385ee67
حقوق: OPEN
رقم الأكسشن: edsair.dris...00893..7ed8f11df23000f14e39e4d9e514674a
قاعدة البيانات: OpenAIRE