The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Pharmacogenetics of responses to alcohol and genes that influence alcohol drinking.
Abstract
OBJECTIVE: There is now compelling evidence for genetic influence on susceptibility to alcoholism. This article presents results from studies qualifying alcoholism as a pharmacogenetic disorder of the brain. METHOD: Studies from the author's research group and other investigators, of human subjects and experimental animal models, are reviewed. Included are experiments on the pharmacogenetics (elimination and metabolism) and pharmacodynamics (initial response, tolerance and dependence) of ethanol. RESULTS: Studies in humans have reliably shown that the genes for the principal enzymes of alcohol metabolism influence drinking behavior and alcoholism risk. Notably, the functional genetic variants of alcohol dehydrogenase that exhibit high alcohol oxidizing activity, and the genetic variant of aldehyde dehydrogenase that exhibits low acetaldehyde oxidizing activity, protect against heavy drinking and alcoholism. Extensive studies of inbred and selectively bred experimental rodent models with alcohol drinking preference, tolerance development and alcohol withdrawal susceptibility have shown strong genetic influence on these responses to ethanol. Neuroanatomical, neurochemical and genetic studies have shown the involvement of serotonin, dopamine, glutamate, gamma-aminobutyric acid and opioid pathways in these actions of ethanol. Genetic studies, including association and genome-wide survey studies in both humans and rodents, implicate serotonin 1b receptor, dopamine D2 receptor, tryptophan hydroxylase and neuropeptide Y as candidate targets of genetic susceptibility in these pharmacodynamic actions of ethanol. CONCLUSIONS: There are genetic predisposing factors for alcoholism. Nonspecific susceptibility factors include personality traits characterized by behavioral inhibition (e.g., novelty-seeking and impulsivity). These genetically influenced traits interact with other, also genetically influenced, traits involved in the metabolism and pharmacodynamic effects of alcohol, and this interaction forms the basis for nominating alcoholism as a pharmacogenetic disease. Clearly, there are also many environmental factors that influence drinking behavior. Individuals have different sets of susceptibility genes and experience different kinds of environmental provocation. These factors underlie the heterogeneity and complexity of the clinical phenotype of alcoholism.
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Cites
Alcohol dependence: Provisional description of a clinical syndrome
Edwards, G., & Gross, M. M. (1976) · BMJ · doi:10.1136/bmj.1.6017.1058 · Cited by 1,163
Genome-wide search for genes affecting the risk for alcohol dependence
Reich, T., Edenberg, H. J., Goate, A., Williams, J. T., Rice, J. P., Van Eerdewegh, P., Foroud, T., Hesselbrock, V., Schuckit, M. A., Bucholz, K., et al. (1998) · American Journal of Medical Genetics · doi:10.1002/(sici)1096-8628(19980508)81:3<207::aid-ajmg1>3.0.co;2-t · Cited by 735
Self-citationSamson, H. H. (1986) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.1986.tb05120.x · Cited by 652
Animal Models of Alcoholism: Neurobiology of High Alcohol-Drinking Behavior in Rodents
McBride, W. J., & Li, T.-K. (1998) · Critical Reviews™ in Neurobiology · doi:10.1615/critrevneurobiol.v12.i4.40 · Cited by 600
Self-citationWeiss, F., Parsons, L. H., Schulteis, G., Hyytiä, P., Lorang, M. T., Bloom, F. E., & Koob, G. F. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-10-03474.1996 · Cited by 457
Nicotine metabolism defect reduces smoking
Pianezza, M. L., Sellers, E. M., & Tyndale, R. F. (1998) · Nature · doi:10.1038/31623 · Cited by 432
Reinstatement of alcohol-seeking by priming injections of alcohol and exposure to stress in rats
Lê, A. D., Quan, B., Juzytch, W., Fletcher, P. J., Joharchi, N., & Shaham, Y. (1998) · Psychopharmacology · doi:10.1007/s002130050498 · Cited by 319
Selective breeding for alcohol preference and associated responses
Li, T.-K., Lumeng, L., & Doolittle, D. P. (1993) · Behavior Genetics · doi:10.1007/bf01067421 · Cited by 312
Self-citationA Tryptophan Hydroxylase Gene Marker for Suicidality and Alcoholism
Nielsen, D. A., Virkkunen, M., Lappalainen, J., Eggert, M., Brown, G. L., Long, J. C., Goldman, D., & Linnoila, M. (1998) · Archives of General Psychiatry · doi:10.1001/archpsyc.55.7.593 · Cited by 293
Identifying genes for alcohol and drug sensitivity: recent progress and future directions
Crabbe, J. C., Phillips, T. J., Buck, K. J., Cunningham, C. L., & Belknap, J. K. (1999) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01393-4 · Cited by 247
Cited by
Drug Addiction, Dysregulation of Reward, and Allostasis
Koob, G. (2001) · Neuropsychopharmacology · doi:10.1016/s0893-133x(00)00195-0 · Cited by 2,953
A genome-wide association study of alcohol dependence
Bierut, L. J., Agrawal, A., Bucholz, K. K., Doheny, K. F., Laurie, C., Pugh, E., Fisher, S., Fox, L., Howells, W., Bertelsen, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911109107 · Cited by 457
Overexpression of dopamine D2 receptors reduces alcohol self‐administration
Thanos, P. K., Volkow, N. D., Freimuth, P., Umegaki, H., Ikari, H., Roth, G., Ingram, D. K., & Hitzemann, R. (2001) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2001.00492.x · Cited by 324
Meta-analyses of ALDH2 and ADH1B with alcohol dependence in Asians.
Luczak, S. E., Glatt, S. J., & Wall, T. J. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.4.607 · Cited by 228
Genetic factors influencing alcohol dependence
Mayfield, R. D., Harris, R. A., & Schuckit, M. A. (2008) · British Journal of Pharmacology · doi:10.1038/bjp.2008.88 · Cited by 186
Metadata
- Authors
- Li, T. K.
- Venue
- Journal of Studies on Alcohol
- Publisher
- Alcohol Research Documentation, Inc.
- Published
- 2000-01
- Volume
- 61
- Issue
- 1
- Pages
- 5-12
- ISSN
- 0096-882X (ISSN-L)
- 1934-2683
- OpenAlex
- W1965315301
- Cited by
- 273
- References
- 28
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- closed
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