Ellen W Yeung1, Kellyn M Spychala2, Alex P Miller3, Jacqueline M Otto4, Joseph D Deak5, Hanjoe Kim6, David A Gilder7, Cindy L Ehlers8, Kirk C Wilhelmsen9, Ian R Gizer10. 1. Department of Psychological and Brain Sciences, George Washington University, Washington, DC 20052, USA; Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California at Irvine, Irvine, CA 92697, USA. Electronic address: ellenyeung@gwu.edu. 2. Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA. Electronic address: kellyn.spychala@mail.missouri.edu. 3. Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA. Electronic address: apmfz5@mail.missouri.edu. 4. Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA; Department of Psychology, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: ottox304@umn.edu. 5. Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, USA; Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT 06516, USA. Electronic address: joseph.deak@yale.edu. 6. Department of Psychological, Health, & Learning Sciences, University of Houston, Houston, TX 77204, USA. Electronic address: hjkim2@central.uh.edu. 7. Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037, USA. Electronic address: dgilder@scripps.edu. 8. Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037, USA. Electronic address: cindye@scripps.edu. 9. Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26505, USA; Renaissance Computing Institute, Chapel Hill, NC 27517, USA; Department of Neurology and Genetics and the Bowles Center of Alcohol Studies, University of North Carolina, Chapel Hill, NC 27599, USA. Electronic address: kirk_wilhelmsen@med.unc.edu. 10. Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA. Electronic address: gizeri@missouri.edu.
Abstract
BACKGROUND: Prior studies have established the importance of genetic contributions to the etiology of alcohol dependence (AD), and suggested an early onset of alcohol use represents an initial marker of this genetic risk, which is associated with a more rapid progression to AD and increased risk for AD itself. Building on prior work, the current study examined whether the additive effects of AD risk variants predicted the rate of progression to AD from the onset of regular drinking, a drinking milestone with high clinical relevance to AD prevention. METHODS: Data from 1501 European-ancestry adults from the University of California - San Francisco Family Alcoholism Study were used to examine whether polygenic risk scores for AD (PRSAD) and age-at-onset of regular drinking contributed uniquely to the likelihood of having a lifetime AD diagnosis and the rate of progression from regular drinking to AD. Mixed effects logistic regression and Cox proportional hazards regression analyses were employed. RESULTS: Increases in PRSAD were associated with a faster progression from regular drinking to AD independent of age-at-onset of regular drinking. An independent effect of age-at-onset of regular drinking was also observed indicating that a one-year delay in regular drinking was associated with a 7% decrease in the hazard of progression to AD among drinkers with an early onset (≤ 18), but a 3% increase among drinkers with a late onset (> 18) of regular drinking. CONCLUSIONS: These results broaden our understanding of the contributions of measured genotypes underlying AD-risk on the etiology and clinical course of AD.
BACKGROUND: Prior studies have established the importance of genetic contributions to the etiology of alcohol dependence (AD), and suggested an early onset of alcohol use represents an initial marker of this genetic risk, which is associated with a more rapid progression to AD and increased risk for AD itself. Building on prior work, the current study examined whether the additive effects of AD risk variants predicted the rate of progression to AD from the onset of regular drinking, a drinking milestone with high clinical relevance to AD prevention. METHODS: Data from 1501 European-ancestry adults from the University of California - San Francisco Family Alcoholism Study were used to examine whether polygenic risk scores for AD (PRSAD) and age-at-onset of regular drinking contributed uniquely to the likelihood of having a lifetime AD diagnosis and the rate of progression from regular drinking to AD. Mixed effects logistic regression and Cox proportional hazards regression analyses were employed. RESULTS: Increases in PRSAD were associated with a faster progression from regular drinking to AD independent of age-at-onset of regular drinking. An independent effect of age-at-onset of regular drinking was also observed indicating that a one-year delay in regular drinking was associated with a 7% decrease in the hazard of progression to AD among drinkers with an early onset (≤ 18), but a 3% increase among drinkers with a late onset (> 18) of regular drinking. CONCLUSIONS: These results broaden our understanding of the contributions of measured genotypes underlying AD-risk on the etiology and clinical course of AD.
Authors: Cindy L Ehlers; Ian R Gizer; Cassandra Vieten; Allison Gilder; David A Gilder; Gina M Stouffer; Philip Lau; Kirk C Wilhelmsen Journal: Am J Addict Date: 2010 Mar-Apr
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