Genetic Addiction Risk and Psychological Profiling Analyses for "Preaddiction" Severity Index

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dc.contributor.authorBlum, Kenneth
dc.contributor.authorHan, David
dc.contributor.authorBowirrat, Abdalla
dc.contributor.authorDowns, Bernard William
dc.contributor.authorBagchi, Debasis
dc.contributor.authorThanos, Panayotis K.
dc.contributor.authorBaron, David
dc.contributor.authorBraverman, Eric R.
dc.contributor.authorDennen, Catherine A.
dc.contributor.authorGupta, Ashim
dc.contributor.authorElman, Igor
dc.contributor.authorBadgaiyan, Rajendra D.
dc.contributor.authorLlanos-Gomez, Luis
dc.contributor.authorKhalsa, Jag
dc.contributor.authorBarh, Debmalya
dc.contributor.authorMcLaughlin, Thomas
dc.contributor.authorGold, Mark S.
dc.date.accessioned2022-11-10T14:28:01Z
dc.date.available2022-11-10T14:28:01Z
dc.date.issued2022-10-27
dc.date.updated2022-11-10T14:28:02Z
dc.description.abstractSince 1990, when our laboratory published the association of the DRD2 Taq A1 allele and severe alcoholism in JAMA, there has been an explosion of genetic candidate association studies, including genome-wide association studies (GWAS). To develop an accurate test to help identify those at risk for at least alcohol use disorder (AUD), a subset of reward deficiency syndrome (RDS), Blum's group developed the genetic addiction risk severity (GARS) test, consisting of ten genes and eleven associated risk alleles. In order to statistically validate the selection of these risk alleles measured by GARS, we applied strict analysis to studies that investigated the association of each polymorphism with AUD or AUD-related conditions, including pain and even bariatric surgery, as a predictor of severe vulnerability to unwanted addictive behaviors, published since 1990 until now. This analysis calculated the Hardy–Weinberg Equilibrium of each polymorphism in cases and controls. Pearson's χ2 test or Fisher's exact test was applied to compare the gender, genotype, and allele distribution if available. The statistical analyses found the OR, 95% CI for OR, and the post risk for 8% estimation of the population's alcoholism prevalence revealed a significant detection. Prior to these results, the United States and European patents on a ten gene panel and eleven risk alleles have been issued. In the face of the new construct of the "preaddiction" model, similar to "prediabetes", the genetic addiction risk analysis might provide one solution missing in the treatment and prevention of the neurological disorder known as RDS.
dc.description.departmentManagement Science and Statistics
dc.identifierdoi: 10.3390/jpm12111772
dc.identifier.citationJournal of Personalized Medicine 12 (11): 1772 (2022)
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1314
dc.rightsAttribution 4.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectgenetic addiction risk analysis
dc.subjectreward deficiency syndrome (RDS)
dc.subjectbehavioral octopus
dc.subjectneurobiology
dc.subjectepigenetics
dc.subjectdopamine homeostasis
dc.subjectpreaddiction
dc.titleGenetic Addiction Risk and Psychological Profiling Analyses for "Preaddiction" Severity Index
dc.typeArticleen_US

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