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Genetic Addiction Risk and Psychological Profiling Analyses for "Preaddiction" Severity Index.
Blum, Kenneth; Han, David; Bowirrat, Abdalla; Downs, Bernard William; Bagchi, Debasis; Thanos, Panayotis K; Baron, David; Braverman, Eric R; Dennen, Catherine A; Gupta, Ashim; Elman, Igor; Badgaiyan, Rajendra D; Llanos-Gomez, Luis; Khalsa, Jag; Barh, Debmalya; McLaughlin, Thomas; Gold, Mark S.
Afiliação
  • Blum K; Division of Addiction Research & Education, Center for Sports, Exercise, and Mental Health, Western University of Health Sciences, Pomona, CA 91766, USA.
  • Han D; Division of Nutrigenomics, The Kenneth Blum Behavioral Neurogenetic Institute, LLC, Austin, TX 78701, USA.
  • Bowirrat A; Institute of Psychology, ELTE Eötvös Loránd University, 1075 Budapest, Hungary.
  • Downs BW; Department of Psychiatry, University of Vermont, Burlington, VT 05405, USA.
  • Bagchi D; Department of Psychiatry, Wright University Boonshoft School of Medicine, Dayton, OH 45324, USA.
  • Thanos PK; Division of Nutrigenomics, Victory Nutrition International, Inc., Harleysville, PA 19329, USA.
  • Baron D; Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur 721172, West Bengal, India.
  • Braverman ER; Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 40700, Israel.
  • Dennen CA; Department of Management Science and Statistics, University of Texas at San Antonio, San Antonio, TX 78249, USA.
  • Gupta A; Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 40700, Israel.
  • Elman I; Division of Nutrigenomics, Victory Nutrition International, Inc., Harleysville, PA 19329, USA.
  • Badgaiyan RD; Division of Nutrigenomics, Victory Nutrition International, Inc., Harleysville, PA 19329, USA.
  • Llanos-Gomez L; Department of Pharmaceutical Sciences, College of Pharmacy, Southern University, Houston, TX 77004, USA.
  • Khalsa J; Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biosciences, State University of New York at Buffalo, Buffalo, NY 14260, USA.
  • Barh D; Department of Psychology, State University of New York at Buffalo, Buffalo, NY 14260, USA.
  • McLaughlin T; Division of Addiction Research & Education, Center for Sports, Exercise, and Mental Health, Western University of Health Sciences, Pomona, CA 91766, USA.
  • Gold MS; Division of Nutrigenomics, The Kenneth Blum Behavioral Neurogenetic Institute, LLC, Austin, TX 78701, USA.
J Pers Med ; 12(11)2022 Oct 27.
Article em En | MEDLINE | ID: mdl-36579510
ABSTRACT
Since 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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article