Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium
暂无分享,去创建一个
E. Mihailov | I. Hickie | T. Paus | R. Kahn | M. Munafo | J. Kaprio | W. Iacono | A. Metspalu | T. Esko | G. Montgomery | H. Snieder | S. Branje | J. Hottenga | J. Hewitt | Z. Pausova | A. Heath | T. Wall | E. Derks | S. Medland | S. Stringer | A. Abdellaoui | G. Lubke | M. McGue | J. Derringer | L. Quaye | Juliette M. Harris | P. Madden | Michael B. Miller | C. Hartman | I. Nolte | A. Oldehinkel | W. Meeus | H. Koot | J. Gelernter | C. Sánchez-Mora | J. Ramos-Quiroga | M. Ribasés | N. Gillespie | M. Bernard | M. Boks | K. V. Eijk | R. Walters | A. Henders | M. Bruinenberg | H. Mbarek | J. Vink | T. Korhonen | H. Kranzler | A. Loukola | T. Bigdeli | M. Nivard | K. Verweij | M. Hickman | C. Minică | R. Sherva | M. Stallings | P. J. Most | C. Hopfer | K. Krauter | V. Richarte | J. Isen | D. Irons | Christian J. Hopfer | A. Huizink | B. Qaiser | A. Stiby | Susan J T Branje | I. Garcia-Martínez | D. Maciejewski | M. Casas | J. Kaprio | P. Lier | S. Brown | R. rose | Timothy D. Spector | N. Martin | Michael B. Miller | Reedik Mägi | T. Spector | S. Gordon | D. Boomsma | J. Shin | M. Wright | Leonie Roos | Jenifer J. Ware | Richard Sherva | Sven Stringer | Sandy Brown | R. Mägi
[1] G. Carter,et al. Medicinal use of cannabis in the United States: historical perspectives, current trends, and future directions. , 2018, Journal of opioid management.
[2] Blair H. Smith,et al. GWAS for executive function and processing speed suggests involvement of the CADM2 gene , 2016, Molecular Psychiatry.
[3] Vincent Frouin,et al. Early Cannabis Use, Polygenic Risk Score for Schizophrenia and Brain Maturation in Adolescence. , 2015, JAMA psychiatry.
[4] D. Cressey. The cannabis experiment , 2015, Nature.
[5] Penny F Whiting,et al. Cannabinoids for Medical Use: A Systematic Review and Meta-analysis. , 2015, JAMA.
[6] D. Boomsma,et al. Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset , 2015, Behavior genetics.
[7] M. Daly,et al. An Atlas of Genetic Correlations across Human Diseases and Traits , 2015, Nature Genetics.
[8] M. Broome,et al. Cannabis use and mania symptoms: a systematic review and meta-analysis. , 2015, Journal of affective disorders.
[9] Hongyu Zhao,et al. Genome-Wide Association Study of Opioid Dependence: Multiple Associations Mapped to Calcium and Potassium Pathways , 2014, Biological Psychiatry.
[10] Nora D Volkow,et al. Adverse health effects of marijuana use. , 2014, The New England journal of medicine.
[11] D. D’Souza,et al. Gone to Pot – A Review of the Association between Cannabis and Psychosis , 2014, Front. Psychiatry.
[12] Shaun M. Purcell,et al. Statistical power and significance testing in large-scale genetic studies , 2014, Nature Reviews Genetics.
[13] N. Martin,et al. ADHD symptoms, autistic traits, and substance use and misuse in adult Australian twins. , 2014, Journal of studies on alcohol and drugs.
[14] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[15] M. Alda,et al. The Impact of Phenotypic and Genetic Heterogeneity on Results of Genome Wide Association Studies of Complex Diseases , 2013, PloS one.
[16] T. Spector,et al. The genetic aetiology of cannabis use initiation: a meta‐analysis of genome‐wide association studies and a SNP‐based heritability estimation , 2013, Addiction biology.
[17] Hongyu Zhao,et al. Genomewide association study of cocaine dependence and related traits: FAM53B identified as a risk gene , 2013, Molecular Psychiatry.
[18] N. Wray,et al. ANKK1, TTC12, and NCAM1 polymorphisms and heroin dependence: importance of considering drug exposure. , 2013, JAMA psychiatry.
[19] Kenny Q. Ye,et al. An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.
[20] Johnny S. H. Kwan,et al. HYST: a hybrid set-based test for genome-wide association studies, with application to protein-protein interaction-based association analysis. , 2012, American journal of human genetics.
[21] Patrick F. Sullivan,et al. Genetic architectures of psychiatric disorders: the emerging picture and its implications , 2012, Nature Reviews Genetics.
[22] K. Kendler,et al. Two-part random effects growth modeling to identify risks associated with alcohol and cannabis initiation, initial average use and changes in drug consumption in a sample of adult, male twins. , 2012, Drug and alcohol dependence.
[23] Brendan P. Zietsch,et al. No association of candidate genes with cannabis use in a large sample of Australian twin families , 2012, Addiction biology.
[24] Joseph T. Glessner,et al. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder , 2011, Human Genetics.
[25] Hon-Cheong So,et al. Uncovering the total heritability explained by all true susceptibility variants in a genome‐wide association study , 2011, Genetic epidemiology.
[26] Scott F. Saccone,et al. A genome‐wide association study of DSM‐IV cannabis dependence , 2011, Addiction biology.
[27] P. Sham,et al. Evaluating the heritability explained by known susceptibility variants: a survey of ten complex diseases , 2011, Genetic epidemiology.
[28] C. Hoggart,et al. TTC12-ANKK1-DRD2 and CHRNA5-CHRNA3-CHRNB4 Influence Different Pathways Leading to Smoking Behavior from Adolescence to Mid-Adulthood , 2011, Biological Psychiatry.
[29] Johnny S. H. Kwan,et al. GATES: a rapid and powerful gene-based association test using extended Simes procedure. , 2011, American journal of human genetics.
[30] P. Visscher,et al. GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.
[31] Abdullah Al Mamun,et al. Cannabis Use and Obesity and Young Adults , 2010, The American journal of drug and alcohol abuse.
[32] Wolfgang Viechtbauer,et al. Conducting Meta-Analyses in R with the metafor Package , 2010 .
[33] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[34] C. Gieger,et al. Sequence variants at CHRNB3–CHRNA6 and CYP2A6 affect smoking behavior , 2010, Nature Genetics.
[35] Tariq Ahmad,et al. Meta-analysis and imputation refines the association of 15q25 with smoking quantity , 2010, Nature Genetics.
[36] Ming D. Li,et al. Genome-wide meta-analyses identify multiple loci associated with smoking behavior , 2010, Nature Genetics.
[37] M. Spitz,et al. Chipping away at the genetics of smoking behavior , 2010, Nature Genetics.
[38] L. Eaves,et al. Mechanisms underlying the lifetime co-occurrence of tobacco and cannabis use in adolescent and young adult twins. , 2010, Drug and alcohol dependence.
[39] Sarah E Medland,et al. Genetic and environmental influences on cannabis use initiation and problematic use: a meta-analysis of twin studies. , 2010, Addiction.
[40] C. Ehlers,et al. Linkage analyses of cannabis dependence, craving, and withdrawal in the San Francisco family study , 2009, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.
[41] Judy H. Cho,et al. Finding the missing heritability of complex diseases , 2009, Nature.
[42] C. Ehlers,et al. GENETIC STUDY: Heritability and a genome‐wide linkage analysis of a Type II/B cluster construct for cannabis dependence in an American Indian community , 2009 .
[43] A. Agrawal,et al. Candidate genes for cannabis use disorders: findings, challenges and directions. , 2009, Addiction.
[44] K. Kendler,et al. Pathways to cannabis abuse: a multi-stage model from cannabis availability, cannabis initiation and progression to abuse. , 2009, Addiction.
[45] N. Martin,et al. Autosomal linkage analysis for cannabis use behaviors in Australian adults. , 2008, Drug and alcohol dependence.
[46] Hongyu Zhao,et al. Haplotypic variants in DRD2, ANKK1, TTC12, and NCAM1 are associated with comorbid alcohol and drug dependence. , 2008, Alcoholism, clinical and experimental research.
[47] N. Martin,et al. Early cannabis use and DSM-IV nicotine dependence: a twin study. , 2008, Addiction.
[48] Kent E Hutchison,et al. Marijuana withdrawal and craving: influence of the cannabinoid receptor 1 (CNR1) and fatty acid amide hydrolase (FAAH) genes. , 2008, Addiction.
[49] N. Martin,et al. The role of GABRA2 in alcohol dependence, smoking, and illicit drug use in an Australian population sample. , 2008, Alcoholism, clinical and experimental research.
[50] K. Kendler,et al. Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood. , 2008, Archives of general psychiatry.
[51] Scott F. Saccone,et al. An autosomal linkage scan for cannabis use disorders in the nicotine addiction genetics project. , 2008, Archives of general psychiatry.
[52] Martin H. Schmidt,et al. Genetic variation in dopamine pathways differentially associated with smoking progression in adolescence. , 2008, Journal of the American Academy of Child and Adolescent Psychiatry.
[53] Hongyu Zhao,et al. Association of haplotypic variants in DRD2, ANKK1, TTC12 and NCAM1 to alcohol dependence in independent case control and family samples. , 2007, Human molecular genetics.
[54] Manuel A. R. Ferreira,et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.
[55] S. Cherny,et al. A genome-wide scan for loci influencing adolescent cannabis dependence symptoms: evidence for linkage on chromosomes 3 and 9. , 2007, Drug and alcohol dependence.
[56] K. Brady,et al. Genomewide Linkage Scan for Nicotine Dependence: Identification of a Chromosome 5 Risk Locus , 2007, Biological Psychiatry.
[57] K. Brady,et al. Haplotype spanning TTC12 and ANKK1, flanked by the DRD2 and NCAM1 loci, is strongly associated to nicotine dependence in two distinct American populations. , 2006, Human molecular genetics.
[58] D. Boomsma,et al. Early Onset Cannabis Use and Progression to other Drug Use in a Sample of Dutch Twins , 2006, Behavior genetics.
[59] K. Kendler,et al. Illicit drug use and abuse/dependence: modeling of two-stage variables using the CCC approach. , 2005, Addictive behaviors.
[60] A. Sergejew,et al. The effects of cannabis on information-processing speed. , 2004, Addictive Behaviours.
[61] M. Munafo,et al. The genetic basis for smoking behavior: a systematic review and meta-analysis. , 2004, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[62] K. Arndt,et al. Coiled Coil Domains: Stability, Specificity, and Biological Implications , 2004, Chembiochem : a European journal of chemical biology.
[63] D. Nass,et al. The cell adhesion molecules N-cadherin and neural cell adhesion molecule regulate human growth hormone: a novel mechanism for regulating pituitary hormone secretion. , 2003, The Journal of clinical endocrinology and metabolism.
[64] W. Hall,et al. Cannabis use and public health: assessing the burden. , 2000, Addiction.
[65] K. Kendler,et al. Genetic and environmental risk factors in the aetiology of illicit drug initiation and subsequent misuse in women , 1999, British Journal of Psychiatry.
[66] Wayne Hall,et al. Adverse effects of cannabis , 1998, The Lancet.
[67] W. Hall. What has research over the past two decades revealed about the adverse health effects of recreational cannabis use? , 2015, Addiction.
[68] L. C. Bidwell,et al. NCAM1-TTC12-ANKK1-DRD2 variants and smoking motives as intermediate phenotypes for nicotine dependence , 2014, Psychopharmacology.
[69] Registrar. United Nations Office on Drugs and Crime Communications Intern Position - Careers Centre - ANU - Careers Centre - ANU , 2013 .
[70] Tanya M. Teslovich,et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index , 2010 .
[71] C. Gieger,et al. Sequence variants at CHRNB 3 – CHRNA 6 and CYP 2 A 6 affect smoking behavior , 2010 .
[72] K. Bucholz,et al. A cotwin-control analysis of drug use and abuse/dependence risk associated with early-onset cannabis use. , 2010, Addictive behaviors.
[73] Nicholas G Martin,et al. Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs. , 2007, Human molecular genetics.
[74] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .