A large-scale genome-wide association study meta-analysis of cannabis use disorder
- Johnson, Emma C.
- Demontis, Ditte
- Thorgeirsson, Thorgeir E.
- Walters, Raymond K.
- Polimanti, Renato
- Hatoum, Alexander S.
- Sanchez-Roige, Sandra
- Paul, Sarah E.
- Wendt, Frank R.
- Clarke, Toni-Kim
- Lai, Dongbing
- Reginsson, Gunnar W.
- Zhou, Hang
- He, June
- Baranger, David A.A.
- Gudbjartsson, Daniel F.
- Wedow, Robbee
- Adkins, Daniel E.
- Adkins, Amy E.
- Alexander, Jeffry
- Bacanu, Silviu-Alin
- Bigdeli, Tim B.
- Boden, Joseph
- Brown, Sandra A.
- Bucholz, Kathleen K.
- Bybjerg-Grauholm, Jonas
- Corley, Robin P.
- Degenhardt, Louisa
- Dick, Danielle M.
- Domingue, Benjamin W.
- Fox, Louis
- Goate, Alison M.
- Gordon, Scott D.
- Hack, Laura M.
- Hancock, Dana B.
- Hartz, Sarah M.
- Hickie, Ian B.
- Hougaard, David M.
- Krauter, Kenneth
- Lind, Penelope A.
- McClintick, Jeanette N.
- McQueen, Matthew B.
- Meyers, Jacquelyn L.
- Montgomery, Grant W.
- Mors, Ole
- Mortensen, Preben B.
- Nordentoft, Merete
- Pearson, John F.
- Peterson, Roseann E.
- Reynolds, Maureen D.
- Rice, John P.
- Runarsdottir, Valgerdur
- Saccone, Nancy L.
- Sherva, Richard
- Silberg, Judy L.
- Tarter, Ralph E.
- Tyrfingsson, Thorarinn
- Wall, Tamara L.
- Webb, Bradley T.
- Werge, Thomas
- Wetherill, Leah
- Wright, Margaret J.
- Zellers, Stephanie
- Adams, Mark J.
- Bierut, Laura J.
- Boardman, Jason D.
- Copeland, William E.
- Farrer, Lindsay A.
- Foroud, Tatiana M.
- Gillespie, Nathan A.
- Grucza, Richard A.
- Mullan Harris, Kathleen
- Heath, Andrew C.
- Hesselbrock, Victor
- Hewitt, John K.
- Hopfer, Christian J.
- Horwood, John
- Iacono, William G.
- Johnson, Eric O.
- Kendler, Kenneth S.
- Kennedy, Martin A.
- Kranzler, Henry R.
- Madden, Pamela A.F.
- Maes, Hermine H.
- Maher, Brion S.
- Martin, Nicholas G.
- McGue, Matthew
- McIntosh, Andrew M.
- Medland, Sarah E.
- Nelson, Elliot C.
- Porjesz, Bernice
- Riley, Brien P.
- Stallings, Michael C.
- Vanyukov, Michael M.
- Vrieze, Scott
- Davis, Lea K.
- Bogdan, Ryan
- Gelernter, Joel
- Edenberg, Howard J.
- Stefansson, Kari
- Børglum, Anders D.
- Agrawal, Arpana
DOIAbstract
Background: Variation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder. Methods: To conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the gene...
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