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Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders.

Publication ,  Journal Article
Hatoum, AS; Colbert, SMC; Johnson, EC; Huggett, SB; Deak, JD; Pathak, G; Jennings, MV; Paul, SE; Karcher, NR; Hansen, I; Baranger, DAA ...
Published in: Nat Ment Health
March 2023

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.

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Published In

Nat Ment Health

DOI

EISSN

2731-6076

Publication Date

March 2023

Volume

1

Issue

3

Start / End Page

210 / 223

Location

England
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hatoum, A. S., Colbert, S. M. C., Johnson, E. C., Huggett, S. B., Deak, J. D., Pathak, G., … Agrawal, A. (2023). Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nat Ment Health, 1(3), 210–223. https://doi.org/10.1038/s44220-023-00034-y
Hatoum, Alexander S., Sarah M. C. Colbert, Emma C. Johnson, Spencer B. Huggett, Joseph D. Deak, Gita Pathak, Mariela V. Jennings, et al. “Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders.Nat Ment Health 1, no. 3 (March 2023): 210–23. https://doi.org/10.1038/s44220-023-00034-y.
Hatoum AS, Colbert SMC, Johnson EC, Huggett SB, Deak JD, Pathak G, et al. Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nat Ment Health. 2023 Mar;1(3):210–23.
Hatoum, Alexander S., et al. “Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders.Nat Ment Health, vol. 1, no. 3, Mar. 2023, pp. 210–23. Pubmed, doi:10.1038/s44220-023-00034-y.
Hatoum AS, Colbert SMC, Johnson EC, Huggett SB, Deak JD, Pathak G, Jennings MV, Paul SE, Karcher NR, Hansen I, Baranger DAA, Edwards A, Grotzinger A, Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, Tucker-Drob EM, Kranzler HR, Davis LK, Sanchez-Roige S, Polimanti R, Gelernter J, Edenberg HJ, Bogdan R, Agrawal A. Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nat Ment Health. 2023 Mar;1(3):210–223.

Published In

Nat Ment Health

DOI

EISSN

2731-6076

Publication Date

March 2023

Volume

1

Issue

3

Start / End Page

210 / 223

Location

England