Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Connecting the dots, genome-wide association studies in substance use

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Prices may be subject to local taxes which are calculated during checkout

Figure 1

References

  1. Stringer S, Verweij KJH, Minică CC, Mbarek H, Bernard M, Derringer J et al. Genome wide association study of cannabis initiation based on a large meta-analytic sample of 32,330 subjects from the International Cannabis Consortium. Transl Psychiatry (accepted for publication).

  2. Tobacco and Genetics Consortium. Genome-wide meta-analyses identify multiple loci associated with smoking behavior. Nat Genet 2010; 42: 441–447.

    Article  Google Scholar 

  3. Cornelis MC, Byrne EM, Esko T, Nalls MA, Ganna A, Paynter N et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry 2015; 20: 647–656.

    Article  CAS  Google Scholar 

  4. Schumann G, Coin LJ, Lourdusamy A, Charoen P, Berger KH, Stacey D et al. Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proc Natl Acad Sci USA 2011; 108: 7119–7124.

    Article  CAS  Google Scholar 

  5. Buhler KM, Gine E, Echeverry-Alzate V, Calleja-Conde J, de Fonseca FR, Lopez-Moreno JA . Common single nucleotide variants underlying drug addiction: more than a decade of research. Addict Biol 2015; 20: 845–871.

    Article  Google Scholar 

  6. Ystrom E, Reichborn-Kjennerud T, Neale MC, Kendler KS . Genetic and environmental risk factors for illicit substance use and use disorders: joint analysis of self and co-twin ratings. Behav Genet 2014; 44: 1–13.

    Article  Google Scholar 

  7. Vink JM, Hottenga JJ, de Geus EJ, Willemsen G, Neale MC, Furberg H et al. Polygenic risk scores for smoking: predictors for alcohol and cannabis use? Addiction 2014; 109: 1141–1151.

    Article  Google Scholar 

  8. Bulik-Sullivan BK, Finucane HK, Anttila V, Gusev A, Day FR, et alReproGen Consortium. An atlas of genetic correlations across human diseases and traits. Nat Genet 2015; 47: 1236–1241.

    Article  CAS  Google Scholar 

  9. Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, Yang J et al. LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet 2015; 47: 291–295.

    Article  CAS  Google Scholar 

  10. Treur JL, Taylor AE, Ware JJ, Nivard MG, McMahon G, Hottenga JJ et al Smoking and caffeine consumption: a genetic analysis of their association (under review).

Download references

Acknowledgements

MGN is supported by the Royal Netherlands Academy of Science Professor Award (PAH/6635) to DIB. KJHV is supported by a 2014 NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation. JMV, CCM and JLT are supported by ERC starting Grant 284167: ‘Beyond the Genetics of Addiction’ (principal investigator JMV).

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to M G Nivard.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

INTERNATIONAL CANNABIS CONSORTIUM Eske M Derks4, Sven Stringer4,5, Karin JH Verweij6,7, Nathan A Gillespie8,9, Jacqueline M Vink3,7, Camelia C Minică7, Hamdi Mbarek7, Peter J van der Most10, Jouke Jan Hottenga7, Dorret I Boomsma7, Abdel Abdellaoui7, Michel Nivard7, Timothy B Bigdeli8, Ian B Hickie11, Sarah E Medland9, Margaret J Wright9, Grant W Montgomery9, Nicholas G Martin9, Scott D Gordon9, Andrew C Heath12, Pamela AF Madden12, Anjali K Henders9, Penelope Lind9, Matthew Hickman13, Marcus R. Munafò14,15, Alex I. Stiby13, Jennifer J. Ware13,14, Anu Loukola16, Jaakko Kaprio16,17,18, Richard J Rose19, Tellervo Korhonen16,18,20, Beenish Qaiser16, Henry R. Kranzler21, Joel Gelernter22, Richard Sherva23, Miguel Casas25,26,27, Josep A Ramos-Quiroga25,26,27, Cristina Sánchez-Mora24,25,26, Iris García-Martínez24,25, Marta Ribasés24,25,26, Vanessa Richarte25, Ilja M Nolte10, Harold Snieder10, Catharina A Hartman28, Albertine J Oldehinkel29, Marcel Bruinenberg30, Marco P Boks31, Kristel R van Eijk31, René S Kahn31 4Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands, 5Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands, 6Department of Developmental Psychology, VU University Amsterdam, Amsterdam, The Netherlands, 7Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands, 8Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA, 9Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia, 10University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands, 11University of Sydney, Brain & Mind Research Institute, Sydney, NSW, Australia, 12Washington University School of Medicine, Department of Psychiatry, St Louis, USA, 13University of Bristol, School of Social and Community Medicine, University of Bristol, Bristol, UK, 14MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK, 15UK Centre for Tobacco and Alcohol Studies and School of Experimental Psychology, University of Bristol, Bristol, UK, 16Department of Public Health, University of Helsinki, Hjelt Institute, Helsinki, Finland, 17Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland, 18Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland, 19Department of Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, USA, 20University of Eastern Finland, Institute of Public Health & Clinical Nutrition, Kuopio, Finland, 21Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States, 22Yale University School of Medicine & VA CT, Psychiatry, Genetics, & Neurobiology, West Haven, CT, USA, 23Boston University School of Medicine, Biomedical Genetics Department, Boston, USA, 24Psychiatric Genetics Unit, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain, 25Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain, 26Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain, 27Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain, 28University of Groningen, University Medical Center Groningen, Department of Psychiatry, Groningen, The Netherlands, 29University of Groningen, University Medical Center Groningen, Interdisciplinary Center for Pathology of Emotions, Groningen, The Netherlands, 30University of Groningen, University Medical Center Groningen, The LifeLines Cohort Study, Groningen, The Netherlands, 31Brain Center Rudolf Magnus, University Medical Center Utrecht, Department of Psychiatry, Utrecht, The Netherlands

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nivard, M., Verweij, K., Minică, C. et al. Connecting the dots, genome-wide association studies in substance use. Mol Psychiatry 21, 733–735 (2016). https://doi.org/10.1038/mp.2016.14

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/mp.2016.14

This article is cited by

Search

Quick links