A Comprehensive 4-layered In Silico Pharmacogenomics Analysis of the Genetic Addiction Risk Severity (GARS) Test: Strong Genetic Evidence Supporting GARS as a Novel Personalized Pre-addiction Assessment Tool in the Opioid Crisis Era
Year: 2025
Type: article
Authors: Alireza Sharafshah, Kai-Uwe Lewandrowski, Igor Elman, David Baron, Panayotis K. Thanos, Colin Hanna, Mark S. Gold, Rajendra D. Badgaiyan, Jean Lud Cadet, Edward J. Modestino, Eric R. Braverman, Catherine A. Dennen, Milan Makale, Keerthy Sunder, Kevin T. Murphy, Abdalla Bowirrat, Albert Pinhasov, Marjorie Gondre-Lewis, Eliot Gardner, Daniel Sipple, Nicole Jafari, Foojan Zeine, Jag Khalsa, Rossano Kepler Alvim Fiorelli, Kenneth Blum
Institutions: Guilan University of Medical Sciences, University of Guilan, Fundación Universitaria Sanitas, Cambridge Health Alliance, Harvard University, Western University of Health Sciences, University at Buffalo, State University of New York, Washington University in St. Louis, Case Western Reserve University, National Institutes of Health, National Institute on Drug Abuse, Curry College, Thomas Jefferson University Hospital, University of California San Diego, University of California, Riverside, Ariel University, California State University, Long Beach, The Chicago School, Hospital Universitário Gaffrée e Guinle, Universidade Federal do Estado do Rio de Janeiro
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: closed
Funder: National Institutes of Health
OpenAlex ID: W4409565699