| Literature DB >> 30150663 |
Joëlle A Pasman1, Karin J H Verweij1,2, Zachary Gerring3, Sven Stringer4, Sandra Sanchez-Roige5, Jorien L Treur6, Abdel Abdellaoui2, Michel G Nivard7, Bart M L Baselmans7, Jue-Sheng Ong3, Hill F Ip7, Matthijs D van der Zee7, Meike Bartels7, Felix R Day8, Pierre Fontanillas9, Sarah L Elson9, Harriet de Wit10, Lea K Davis11, James MacKillop12, Jaime L Derringer13, Susan J T Branje14, Catharina A Hartman15, Andrew C Heath16, Pol A C van Lier17, Pamela A F Madden16, Reedik Mägi18, Wim Meeus14, Grant W Montgomery19, A J Oldehinkel15, Zdenka Pausova20, Josep A Ramos-Quiroga21,22,23,24, Tomas Paus25,26, Marta Ribases21,22,23, Jaakko Kaprio27, Marco P M Boks28, Jordana T Bell29, Tim D Spector29, Joel Gelernter30, Dorret I Boomsma7, Nicholas G Martin3, Stuart MacGregor3, John R B Perry8, Abraham A Palmer5,31, Danielle Posthuma4, Marcus R Munafò6,32, Nathan A Gillespie3,33, Eske M Derks3, Jacqueline M Vink34.
Abstract
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 substance 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.Entities:
Mesh:
Substances:
Year: 2018 PMID: 30150663 PMCID: PMC6386176 DOI: 10.1038/s41593-018-0206-1
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 24.884