Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders
dc.contributor.author | Hatoum, Alexander S. | |
dc.contributor.author | Colbert, Sarah M. C. | |
dc.contributor.author | Johnson, Emma C. | |
dc.contributor.author | Huggett, Spencer B. | |
dc.contributor.author | Deak, Joseph D. | |
dc.contributor.author | Pathak, Gita | |
dc.contributor.author | Jennings, Mariela V. | |
dc.contributor.author | Paul, Sarah E. | |
dc.contributor.author | Karcher, Nicole R. | |
dc.contributor.author | Hansen, Isabella | |
dc.contributor.author | Baranger, David A. A. | |
dc.contributor.author | Edwards, Alexis | |
dc.contributor.author | Grotzinger, Andrew | |
dc.contributor.author | Substance Use Disorder Working Group of the Psychiatric Genomics Consortium | |
dc.contributor.author | Tucker-Drob, Elliot M. | |
dc.contributor.author | Kranzler, Henry R. | |
dc.contributor.author | Davis, Lea K. | |
dc.contributor.author | Sanchez-Roige, Sandra | |
dc.contributor.author | Polimanti, Renato | |
dc.contributor.author | Gelernter, Joel | |
dc.contributor.author | Edenberg, Howard J. | |
dc.contributor.author | Bogdan, Ryan | |
dc.contributor.author | Agrawal, Arpana | |
dc.contributor.department | Medical and Molecular Genetics, School of Medicine | |
dc.date.accessioned | 2024-03-14T15:39:47Z | |
dc.date.available | 2024-03-14T15:39:47Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Genetic liability to substance use disorders can be parsed into loci that confer general or substance-specific addiction risk. We report a multivariate genome-wide association meta-analysis that disaggregates general and substance-specific loci for published summary statistics of problematic alcohol use, problematic tobacco use, cannabis use disorder, and opioid use disorder in a sample of 1,025,550 individuals of European descent and 92,630 individuals of African descent. Nineteen independent SNPs were genome-wide significant (P < 5e-8) for the general addiction risk factor (addiction-rf), which showed high polygenicity. Across ancestries, PDE4B was significant (among other genes), suggesting dopamine regulation as a cross-substance vulnerability. An addiction-rf polygenic risk score was associated with substance use disorders, psychopathologies, somatic conditions, and environments associated with the onset of addictions. Substance-specific loci (9 for alcohol, 32 for tobacco, 5 for cannabis, 1 for opioids) included metabolic and receptor genes. These findings provide insight into genetic risk loci for substance use disorders that could be leveraged as treatment targets | |
dc.eprint.version | Author's manuscript | |
dc.identifier.citation | Hatoum AS, Colbert SMC, Johnson EC, et al. Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nat Ment Health. 2023;1(3):210-223. doi:10.1038/s44220-023-00034-y | |
dc.identifier.uri | https://hdl.handle.net/1805/39249 | |
dc.language.iso | en_US | |
dc.publisher | Springer Nature | |
dc.relation.isversionof | 10.1038/s44220-023-00034-y | |
dc.relation.journal | Nature Mental Health | |
dc.rights | Publisher Policy | |
dc.source | PMC | |
dc.subject | Substance use disorders | |
dc.subject | Genetics | |
dc.subject | Genetic risk | |
dc.title | Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders | |
dc.type | Article |