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Genetic Addiction Risk Score (GARS), a predictor of vulnerability to opioid dependence

  • Kenneth Blum
  • , Amanda L.C. Chen
  • , Panayotis K. Thanos
  • , Marcelo Febo
  • , Zsolt Demetrovics
  • , Kristina Dushaj
  • , Abraham Kovoor
  • , David Baron
  • , David E. Smith
  • , A. Kenison Roy
  • , Lyle Fried
  • , Thomas J.H. Chen
  • , Edwin Chapman
  • , Edward J. Modestino
  • , Bruce Steinberg
  • , Rajendra D. Badgaiyan
  • University of Florida
  • Dominion Diagnostics LLC
  • Summit Estate Recovery Center
  • University of Southern California
  • Shores Treatment and Recovery Center
  • University of Vermont
  • Eötvös Loránd University
  • Division of Nutrigenomics
  • Igene LLC
  • Wright State University
  • Chang Jung Christian University
  • University of Rhode Island
  • University of California at San Francisco
  • Bio-behavioral Medical Corporation
  • Howard University
  • Curry College

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

The interaction of neurotransmitters and genes that control the release of dopamine is the Brain Reward Cascade (BRC). Variations within the BRC, whether genetic or epigenetic, may predispose individuals to addictive behaviors and altered pain tolerance. This discussion authored by a group of concerned scientists and clinicians examines the Genetic Addiction Risk Score (GARS), the first test to accurately predict vulnerability to pain, addiction, and other compulsive behaviors, defined as Reward Deficiency Syndrome (RDS). Innovative strategies to combat epidemic opioid, iatrogenic prescription drug abuse and death, based on the role of dopaminergic tone in pain pathways, are proposed. Sensitivity to pain may reside in the mesolimbic projection system, where genetic polymorphisms associate with a predisposition to pain vulnerability or tolerance. They provide unique therapeutic targets that could assist in the treatment of pain, and identify risk for subsequent addiction. Pharmacogenomic testing of candidate genes like CB1, mu receptors, and PENK might result in pharmacogenomic, personalized solutions, and improved clinical outcomes. Genetically identifying risk for all RDS behaviors, especially in compromised populations, may be a frontline tool to assist municipalities to provide better resource allocation.

Original languageEnglish
Pages (from-to)175-196
Number of pages22
JournalFrontiers in Bioscience - Elite
Volume10
Issue number1
DOIs
StatePublished - Jan 1 2018

Keywords

  • Acute pain
  • Cannabinergic
  • Functional connectivity
  • GARS
  • Genetic Addiction Risk Score
  • Glutaminergic and dopaminergic pathways
  • Review

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