Literature DB >> 22823124

The genetic aetiology of cannabis use initiation: a meta-analysis of genome-wide association studies and a SNP-based heritability estimation.

Karin J H Verweij1, Anna A E Vinkhuyzen, Beben Benyamin, Michael T Lynskey, Lydia Quaye, Arpana Agrawal, Scott D Gordon, Grant W Montgomery, Pamela A F Madden, Andrew C Heath, Timothy D Spector, Nicholas G Martin, Sarah E Medland.   

Abstract

While initiation of cannabis use is around 40% heritable, not much is known about the underlying genetic aetiology. Here, we meta-analysed two genome-wide association studies of initiation of cannabis use with > 10 000 individuals. None of the genetic variants reached genome-wide significance. We also performed a gene-based association test, which also revealed no significant effects of individual genes. Finally, we estimated that only approximately 6% of the variation in cannabis initiation is due to common genetic variants. Future genetic studies using larger sample sizes and different methodologies (including sequencing) might provide more insight in the complex genetic aetiology of cannabis use.
© 2012 The Authors, Addiction Biology © 2012 Society for the Study of Addiction.

Entities:  

Keywords:  Association; cannabis; genetics; heritability

Mesh：

Year:  2012        PMID： 22823124      PMCID： PMC3548058          DOI： 10.1111/j.1369-1600.2012.00478.x

Source DB:  PubMed          Journal:  Addict Biol        ISSN： 1355-6215            Impact factor:   4.280


  16 in total

1.  Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits.

Authors:  S Purcell; S S Cherny; P C Sham
Journal:  Bioinformatics       Date:  2003-01       Impact factor: 6.937

2.  A versatile gene-based test for genome-wide association studies.

Authors:  Jimmy Z Liu; Allan F McRae; Dale R Nyholt; Sarah E Medland; Naomi R Wray; Kevin M Brown; Nicholas K Hayward; Grant W Montgomery; Peter M Visscher; Nicholas G Martin; Stuart Macgregor
Journal:  Am J Hum Genet       Date:  2010-07-09       Impact factor: 11.025

3.  A generalized family-based association test for dichotomous traits.

Authors:  Wei-Min Chen; Ani Manichaikul; Stephen S Rich
Journal:  Am J Hum Genet       Date:  2009-09       Impact factor: 11.025

4.  Family-based association tests for genomewide association scans.

Authors:  Wei-Min Chen; Goncalo R Abecasis
Journal:  Am J Hum Genet       Date:  2007-09-18       Impact factor: 11.025

5.  MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes.

Authors:  Yun Li; Cristen J Willer; Jun Ding; Paul Scheet; Gonçalo R Abecasis
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

6.  Maintenance of genetic variation in human personality: testing evolutionary models by estimating heritability due to common causal variants and investigating the effect of distant inbreeding.

Authors:  Karin J H Verweij; Jian Yang; Jari Lahti; Juha Veijola; Mirka Hintsanen; Laura Pulkki-Råback; Kati Heinonen; Anneli Pouta; Anu-Katriina Pesonen; Elisabeth Widen; Anja Taanila; Matti Isohanni; Jouko Miettunen; Aarno Palotie; Lars Penke; Susan K Service; Andrew C Heath; Grant W Montgomery; Olli Raitakari; Mika Kähönen; Jorma Viikari; Katri Räikkönen; Johan G Eriksson; Liisa Keltikangas-Järvinen; Terho Lehtimäki; Nicholas G Martin; Marjo-Riitta Järvelin; Peter M Visscher; Matthew C Keller; Brendan P Zietsch
Journal:  Evolution       Date:  2012-05-21       Impact factor: 3.694

7.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

Review 8.  Genetic and environmental influences on cannabis use initiation and problematic use: a meta-analysis of twin studies.

Authors:  Karin J H Verweij; Brendan P Zietsch; Michael T Lynskey; Sarah E Medland; Michael C Neale; Nicholas G Martin; Dorret I Boomsma; Jacqueline M Vink
Journal:  Addiction       Date:  2010-03       Impact factor: 6.526

9.  Common variants in the trichohyalin gene are associated with straight hair in Europeans.

Authors:  Sarah E Medland; Dale R Nyholt; Jodie N Painter; Brian P McEvoy; Allan F McRae; Gu Zhu; Scott D Gordon; Manuel A R Ferreira; Margaret J Wright; Anjali K Henders; Megan J Campbell; David L Duffy; Narelle K Hansell; Stuart Macgregor; Wendy S Slutske; Andrew C Heath; Grant W Montgomery; Nicholas G Martin
Journal:  Am J Hum Genet       Date:  2009-11-05       Impact factor: 11.025

Review 10.  Candidate genes for cannabis use disorders: findings, challenges and directions.

Authors:  Arpana Agrawal; Michael T Lynskey
Journal:  Addiction       Date:  2009-04       Impact factor: 6.526
View more
  28 in total

1.  Genetic variation in FAAH is associated with cannabis use disorders in a young adult sample of Mexican Americans.

Authors:  Whitney E Melroy-Greif; Kirk C Wilhelmsen; Cindy L Ehlers
Journal:  Drug Alcohol Depend       Date:  2016-06-25       Impact factor: 4.492

2.  Genetic and Environmental Contributions to the Association Between Cannabis Use and Psychotic-Like Experiences in Young Adult Twins.

Authors:  Ragnar Nesvåg; Ted Reichborn-Kjennerud; Nathan A Gillespie; Gun Peggy Knudsen; Jørgen G Bramness; Kenneth S Kendler; Eivind Ystrom
Journal:  Schizophr Bull       Date:  2017-05-01       Impact factor: 9.306

3.  Genetic predisposition to schizophrenia associated with increased use of cannabis.

Authors:  R A Power; K J H Verweij; M Zuhair; G W Montgomery; A K Henders; A C Heath; P A F Madden; S E Medland; N R Wray; N G Martin
Journal:  Mol Psychiatry       Date:  2014-06-24       Impact factor: 15.992

4.  Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample.

Authors:  Jaime Derringer; Robin P Corley; Brett C Haberstick; Susan E Young; Brittany A Demmitt; Daniel P Howrigan; Robert M Kirkpatrick; William G Iacono; Matt McGue; Matthew C Keller; Sandra Brown; Susan Tapert; Christian J Hopfer; Michael C Stallings; Thomas J Crowley; Soo Hyun Rhee; Ken Krauter; John K Hewitt; Matthew B McQueen
Journal:  Behav Genet       Date:  2015-01-31       Impact factor: 2.805

5.  The Genetics, Neurogenetics and Pharmacogenetics of Addiction.

Authors:  Catherine H Demers; Ryan Bogdan; Arpana Agrawal
Journal:  Curr Behav Neurosci Rep       Date:  2014-03-01

Review 6.  The genetic epidemiology of substance use disorder: A review.

Authors:  Elizabeth C Prom-Wormley; Jane Ebejer; Danielle M Dick; M Scott Bowers
Journal:  Drug Alcohol Depend       Date:  2017-08-01       Impact factor: 4.492

7.  Genetic and Environmental Factors Associated with Cannabis Involvement.

Authors:  Ryan Bogdan; Jonathan Ma Winstone; Arpana Agrawal
Journal:  Curr Addict Rep       Date:  2016-04-12

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

Authors:  Joëlle A Pasman; Karin J H Verweij; Zachary Gerring; Sven Stringer; Sandra Sanchez-Roige; Jorien L Treur; Abdel Abdellaoui; Michel G Nivard; Bart M L Baselmans; Jue-Sheng Ong; Hill F Ip; Matthijs D van der Zee; Meike Bartels; Felix R Day; Pierre Fontanillas; Sarah L Elson; Harriet de Wit; Lea K Davis; James MacKillop; Jaime L Derringer; Susan J T Branje; Catharina A Hartman; Andrew C Heath; Pol A C van Lier; Pamela A F Madden; Reedik Mägi; Wim Meeus; Grant W Montgomery; A J Oldehinkel; Zdenka Pausova; Josep A Ramos-Quiroga; Tomas Paus; Marta Ribases; Jaakko Kaprio; Marco P M Boks; Jordana T Bell; Tim D Spector; Joel Gelernter; Dorret I Boomsma; Nicholas G Martin; Stuart MacGregor; John R B Perry; Abraham A Palmer; Danielle Posthuma; Marcus R Munafò; Nathan A Gillespie; Eske M Derks; Jacqueline M Vink
Journal:  Nat Neurosci       Date:  2018-08-27       Impact factor: 24.884

Review 9.  Human Genetics of Addiction: New Insights and Future Directions.

Authors:  Dana B Hancock; Christina A Markunas; Laura J Bierut; Eric O Johnson
Journal:  Curr Psychiatry Rep       Date:  2018-03-05       Impact factor: 5.285

10.  Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks.

Authors:  Richard Sherva; Qian Wang; Henry Kranzler; Hongyu Zhao; Ryan Koesterer; Aryeh Herman; Lindsay A Farrer; Joel Gelernter
Journal:  JAMA Psychiatry       Date:  2016-05-01       Impact factor: 21.596
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.