Qian Peng1, Ian R Gizer2, Kirk C Wilhelmsen3, Cindy L Ehlers1. 1. Department of Neuroscience, The Scripps Research Institute, La Jolla, California. 2. Department of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri. 3. Department of Genetics and Neurology, University of North Carolina, Chapel Hill, North Carolina.
Abstract
BACKGROUND: Higher rates of alcohol use disorders (AUD) have been observed in some Native American populations than other ethnic groups such as European Americans (EAs) in the United States. Previous studies have shown that variation in the alcohol dehydrogenase (ADH) genes may affect the risk for development of AUD and that the prevalence of these variants differs depending on the ancestral origins of a population. METHODS: In this study, we assessed sequencing variants in the ADH genomic region (ADH1-7) and tested for their associations with AUD phenotypes in 2 independent populations: an American Indian (AI) community sample and an EA cohort from the San Francisco Family Alcohol Study. Association tests were conducted for both common and rare variants using sequencing data for 2 phenotypes: the number of alcohol-related life events and the count of alcohol dependence drinking symptoms. A regularized regression method was used to select the best set of ADH variants associated with phenotypes. Variance component model was incorporated in all analyses to leverage the admixture and relatedness. RESULTS: Two variants near ADH4 and 2 near ADH1C exhibited significant associations with AUD in AIs; no variant was significant in EAs. Common risk variants in AIs were either absent from or much less frequent in EAs. The feature selection method selected mostly distinct yet often colocated subsets of ADH variants to be associated with AUD phenotypes between the 2 cohorts. In the rare-variant analyses, the only association was observed between the whole region and the alcohol-related life events in AIs. CONCLUSIONS: Our results suggest that ADH variants, both common and rare, are more likely to impact risk for alcohol-related symptomatology in this AI population than in this EA sample, and ADH variants that might affect AUD are likely different but convergent on similar regions between the 2 populations.
BACKGROUND: Higher rates of alcohol use disorders (AUD) have been observed in some Native American populations than other ethnic groups such as European Americans (EAs) in the United States. Previous studies have shown that variation in the alcohol dehydrogenase (ADH) genes may affect the risk for development of AUD and that the prevalence of these variants differs depending on the ancestral origins of a population. METHODS: In this study, we assessed sequencing variants in the ADH genomic region (ADH1-7) and tested for their associations with AUD phenotypes in 2 independent populations: an American Indian (AI) community sample and an EA cohort from the San Francisco Family Alcohol Study. Association tests were conducted for both common and rare variants using sequencing data for 2 phenotypes: the number of alcohol-related life events and the count of alcohol dependence drinking symptoms. A regularized regression method was used to select the best set of ADH variants associated with phenotypes. Variance component model was incorporated in all analyses to leverage the admixture and relatedness. RESULTS: Two variants near ADH4 and 2 near ADH1C exhibited significant associations with AUD in AIs; no variant was significant in EAs. Common risk variants in AIs were either absent from or much less frequent in EAs. The feature selection method selected mostly distinct yet often colocated subsets of ADH variants to be associated with AUD phenotypes between the 2 cohorts. In the rare-variant analyses, the only association was observed between the whole region and the alcohol-related life events in AIs. CONCLUSIONS: Our results suggest that ADH variants, both common and rare, are more likely to impact risk for alcohol-related symptomatology in this AI population than in this EA sample, and ADH variants that might affect AUD are likely different but convergent on similar regions between the 2 populations.
Authors: Ian R Gizer; Howard J Edenberg; David A Gilder; Kirk C Wilhelmsen; Cindy L Ehlers Journal: Alcohol Clin Exp Res Date: 2011-06-02 Impact factor: 3.455
Authors: Trina M Norden-Krichmar; Ian R Gizer; Ondrej Libiger; Kirk C Wilhelmsen; Cindy L Ehlers; Nicholas J Schork Journal: Am J Hum Biol Date: 2014-02-17 Impact factor: 1.937
Authors: Tamiko Konishi; Maria Calvillo; Ai-She Leng; Jack Feng; Tony Lee; Hansen Lee; James Lafayette Smith; Shahid H Sial; Nancy Berman; Samuel French; Viktor Eysselein; Keh-Ming Lin; Yu-Jui Yvonne Wan Journal: Exp Mol Pathol Date: 2003-04 Impact factor: 3.362