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Published on: June 23, 2023
Exploring the genetic overlap between substance use disorder and educational attainment.
Judit Cabana-Domínguez1,2,3,4, Laura Vilar-Ribó1,2,3,5, María Soler Artigas1,2,3,4
1Psychiatry, Mental Health and Addiction Group, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Catalonia, Spain.
Higher educational attainment (EA) is genetically linked to a lower risk for substance use disorder (SUD). This study clarifies the shared genetic basis between addiction and EA, revealing its polygenic effects on SUD diagnosis and outcomes.
Area of Science:
- Psychiatric Genetics
- Behavioral Genetics
- Genomics
Background:
- Substance use disorder (SUD) is a complex polygenic psychiatric condition.
- Higher educational attainment (EA) is associated with a reduced risk for SUD.
- Understanding the genetic relationship between EA and SUD is crucial for developing targeted interventions.
Purpose of the Study:
- To investigate the genetic overlap between EA and SUD using a general addiction risk factor.
- To examine the polygenic contribution of addiction and EA to SUD diagnosis and clinical heterogeneity.
- To dissect the genetic liability of addiction in relation to EA and its overlap with other traits.
Main Methods:
- Utilized GWAS summary statistics for EA (n=766,345) and addiction (n=647,703).
- Applied a multistep approach including genetic correlation analysis and polygenic risk score analysis in an independent clinical sample (1427 SUD cases, 2309 controls).
- Dissected genetic liability of addiction based on its relationship with EA and assessed overlap with SUD-related traits and other disorders.
Main Results:
- Confirmed a significant negative genetic correlation between addiction and EA (r_g = -0.33, P < 1.14e-57).
- The genetic liability of addiction discordant with EA showed the strongest effect on SUD (OR = 1.66, P < 2.01e-40).
- This discordant variation was associated with worse sociodemographic, health, and SUD-related outcomes.
Conclusions:
- Provided new evidence for a shared genetic basis between addiction and EA.
- Clarified the polygenic effects of addiction on SUD diagnosis and outcomes by separating genetic liability based on EA.
- Offered novel insights into shared genetic signatures between addiction, EA, and comorbid traits.
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