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Generalized genetic liability to substance use disorders
Alex P. Miller, Ryan Bogdan, Arpana Agrawal, Alexander S. Hatoum
Alex P. Miller, Ryan Bogdan, Arpana Agrawal, Alexander S. Hatoum
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Generalized genetic liability to substance use disorders

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Abstract

Lifetime and temporal co-occurrence of substance use disorders (SUDs) is common and compared with individual SUDs is characterized by greater severity, additional psychiatric comorbidities, and worse outcomes. Here, we review evidence for the role of generalized genetic liability to various SUDs. Coaggregation of SUDs has familial contributions, with twin studies suggesting a strong contribution of additive genetic influences undergirding use disorders for a variety of substances (including alcohol, nicotine, cannabis, and others). GWAS have documented similarly large genetic correlations between alcohol, cannabis, and opioid use disorders. Extending these findings, recent studies have identified multiple genomic loci that contribute to common risk for these SUDs and problematic tobacco use, implicating dopaminergic regulatory and neuronal development mechanisms in the pathophysiology of generalized SUD genetic liability, with certain signals demonstrating cross-species and translational validity. Overlap with genetic signals for other externalizing behaviors, while substantial, does not explain the entirety of the generalized genetic signal for SUD. Polygenic scores (PGS) derived from the generalized genetic liability to SUDs outperform PGS for individual SUDs in prediction of serious mental health and medical comorbidities. Going forward, it will be important to further elucidate the etiology of generalized SUD genetic liability by incorporating additional SUDs, evaluating clinical presentation across the lifespan, and increasing the granularity of investigation (e.g., specific transdiagnostic criteria) to ultimately improve the nosology, prevention, and treatment of SUDs.

Authors

Alex P. Miller, Ryan Bogdan, Arpana Agrawal, Alexander S. Hatoum

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Figure 3

Leveraging genome-wide data to identify pleiotropic effects of common genetic variants on liability to multiple SUDs.

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Leveraging genome-wide data to identify pleiotropic effects of common ge...
(A) Large GWAS of SUDs led to the identification of the loci that shaped SUD-g, with loci implicated in the correlated genetic architecture. The top eight gene-based findings are listed. Representative data was redrawn based on a figure in (89) with permission of Springer Nature Limited, which retains rights to the reference image. (B) Corroboration of several genes implicated in the human GWAS also arises from recent meta-analyses of 5 mouse traits indexing a similar SUD-g response (94).

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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