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The Benefits of Genetic Addiction Risk Score (GARS
Kenneth Blum1,2,3,4,5,6,7,8,9,10,11, Edward J Modestino12, Marjorie Gondre-Lewis11,13,14
1Department of Psychiatry & McKnight Brain Institute, University of Florida College of Medicine, Gainesville, FL, USA.
The Genetic Addiction Risk Score (GARS) is a new genetic test that predicts addiction severity. This genomic tool aids in personalized treatment decisions for alcohol and drug dependency.
Area of Science:
- Genetics
- Neuroscience
- Pharmacology
Background:
- The Genetic Addiction Risk Score (GARS) is a panel of ten reward gene risk variants developed over 25 years of research.
- The Addiction Severity Index (ASI) is a widely used clinical tool for assessing addiction severity.
- Opiate/opioid overdose is a significant public health crisis, with many daily fatalities.
Purpose of the Study:
- To introduce the Genetic Addiction Risk Score (GARS) as a novel genetic test for addiction risk.
- To evaluate the correlation between GARS and the Addiction Severity Index (ASI) for alcohol and drug dependency.
- To explore the utility of GARS in personalized addiction treatment and clinical decision-making.
Main Methods:
- Development of the Genetic Addiction Risk Score (GARS) based on ten reward gene risk variants.
- Comparison of GARS with the Addiction Severity Index (ASI) in unpublished work.
- Analysis of GARS as a predictor of alcohol and drug dependency severity.
Main Results:
- GARS significantly predicted the severity of both alcohol and drug dependency when compared to the ASI.
- GARS is the only known gene panel reflecting the Brain Reward Cascade (BRC) correlated with ASI-MV scores.
- The study suggests GARS can aid in risk assessment and treatment planning.
Conclusions:
- GARS offers a non-invasive genetic test to improve clinical interactions and decision-making in addiction treatment.
- Genomic testing with GARS can assist in determining appropriate therapies, level of care, and treatment duration.
- Knowledge of polymorphic associations can help personalize pharmacogenetic monitoring for better clinical outcomes.
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