L O Bauer1, J Covault, J Gelernter. 1. Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030-2103, USA. lbauer@uchc.edu
Abstract
BACKGROUND: Numerous single nucleotide polymorphisms (SNPs) within different genes have been associated with alcohol and drug involvement or known risk factors for involvement, such as impaired cognitive control. The ability of these SNPs to predict re-involvement, defined here as abstinence failure during treatment, has not been thoroughly tested. METHODS: We studied a small sample (n=146; 49% female) of residential substance abuse treatment program patients who had maintained 2-6 months of abstinence. They were followed for 4 months thereafter for the purpose of counting days until the first abstinence violation. The analysis used logistic and Cox regression methods to evaluate the contributions of age; sex; number of intake alcohol, drug use, and depression symptoms; and either GABRA2, CHRM2, ANKK1, BDNF, or KIBRA SNP genotypes to outcome. RESULTS: GABRA2 and KIBRA genotypes, as well as the number of intake drug abuse problems and a younger age, were associated with an increased risk of relapse. Importantly, these genotypes were found to add value to relapse prediction: the χ(2) statistic evaluating their residual contribution, after age and the number of previous drug use problems were entered, was significant. CONCLUSIONS: Genetic analyses may add value to outcome prediction. Future studies should evaluate the sensitivity and specificity of GABRA2 and KIBRA genotypes for this purpose in other racial/ethnic groups and treatment settings.
BACKGROUND: Numerous single nucleotide polymorphisms (SNPs) within different genes have been associated with alcohol and drug involvement or known risk factors for involvement, such as impaired cognitive control. The ability of these SNPs to predict re-involvement, defined here as abstinence failure during treatment, has not been thoroughly tested. METHODS: We studied a small sample (n=146; 49% female) of residential substance abuse treatment program patients who had maintained 2-6 months of abstinence. They were followed for 4 months thereafter for the purpose of counting days until the first abstinence violation. The analysis used logistic and Cox regression methods to evaluate the contributions of age; sex; number of intake alcohol, drug use, and depression symptoms; and either GABRA2, CHRM2, ANKK1, BDNF, or KIBRA SNP genotypes to outcome. RESULTS:GABRA2 and KIBRA genotypes, as well as the number of intake drug abuse problems and a younger age, were associated with an increased risk of relapse. Importantly, these genotypes were found to add value to relapse prediction: the χ(2) statistic evaluating their residual contribution, after age and the number of previous drug use problems were entered, was significant. CONCLUSIONS: Genetic analyses may add value to outcome prediction. Future studies should evaluate the sensitivity and specificity of GABRA2 and KIBRA genotypes for this purpose in other racial/ethnic groups and treatment settings.
Authors: Jaakko Lappalainen; Evgeny Krupitsky; Mikhail Remizov; Sofia Pchelina; Anastaisa Taraskina; Edwin Zvartau; Lucia K Somberg; Jonathan Covault; Henry R Kranzler; John H Krystal; Joel Gelernter Journal: Alcohol Clin Exp Res Date: 2005-04 Impact factor: 3.455
Authors: Jonathan Covault; Joel Gelernter; Victor Hesselbrock; Maggie Nellissery; Henry R Kranzler Journal: Am J Med Genet B Neuropsychiatr Genet Date: 2004-08-15 Impact factor: 3.568
Authors: J P Rice; T Reich; K K Bucholz; R J Neuman; R Fishman; N Rochberg; V M Hesselbrock; J I Nurnberger; M A Schuckit; H Begleiter Journal: Alcohol Clin Exp Res Date: 1995-08 Impact factor: 3.455
Authors: Andrzej Jakubczyk; Anna Klimkiewicz; Maciej Kopera; Aleksandra Krasowska; Małgorzata Wrzosek; Halina Matsumoto; Margit Burmeister; Kirk J Brower; Marcin Wojnar Journal: J Psychiatr Res Date: 2013-01-12 Impact factor: 4.791
Authors: Richard Lieberman; Henry R Kranzler; Pujan Joshi; Dong-Guk Shin; Jonathan Covault Journal: Alcohol Clin Exp Res Date: 2015-08-06 Impact factor: 3.455