The broad, long-term objectives of this study include: (1) to identify the risk alleles for alcohol dependence at ADH gene cluster and ALDH2 gene;(2) to mathematically predict the diagnosis of alcohol dependence using a set of genetic markers;(3) to create a genetic basis for the neurobiological study on the development of alcohol dependence at a protein level;and (4) to provide a foundation to develop novel pharmacotherapeutic agents for the treatment of alcohol dependence.
The specific aims i nclude: (1) to test the associations between each ADH, ALDH2 gene and alcohol dependence, and then fine-map the risk sites for alcohol dependence within each risk gene;(2) to test the associations between each gene and three alcohol dependence comorbid disorders, and then fine-map the risk sites for these disorders, in order to know the phenotype-specificity of these risk genes;(3) to test the above associations and fine-map the risk sites in EAs and AAs, to understand the population-specificity of any expected association and risk site. This proposed study is promising to reveal the true relationships between ADH gene cluster, ALDH2 gene and alcohol dependence and to fine-map the alcohol dependence risk sites at these genes. The findings will be very helpful for better understanding the etiology of alcohol dependence, for the early-life prediction and prevention of alcohol dependence, for developing biological markers for diagnosis, and for discovering new drugs on treating alcohol dependence. The applicants propose a population-based study to test associations between genes and diseases, a genomic control study to control for population stratification and admixture effects (using a structured association method and a regression method), a phenotype control study to test the phenotype-specificity of any expected association, and a population control study to test the population-specificity of associations. Finally, a family-based study is proposed to confirm the results from population-based studies. 240 markers within these genes will be genotyped in a total of 2664 subjects (27 markers have been studied in the preliminary study and many of them are positively associated with alcohol dependence). In a word, this study will identify some risk genes for alcohol dependence, helping us better understand the etiology of alcohol dependence and provide potential targets for new drugs.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
5R01AA016015-05
Application #
7845594
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Parsian, Abbas
Project Start
2006-06-01
Project End
2012-05-31
Budget Start
2010-06-01
Budget End
2012-05-31
Support Year
5
Fiscal Year
2010
Total Cost
$141,022
Indirect Cost
Name
Yale University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
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Zuo, Lingjun; Wang, Kesheng; Zhang, Xiangyang et al. (2013) Sex chromosome-wide association analysis suggested male-specific risk genes for alcohol dependence. Psychiatr Genet 23:233-8
Zuo, Lingjun; Zhang, Xiang-Yang; Wang, Fei et al. (2013) Genome-wide significant association signals in IPO11-HTR1A region specific for alcohol and nicotine codependence. Alcohol Clin Exp Res 37:730-9
Zuo, Lingjun; Wang, Kesheng; Zhang, Xiang-Yang et al. (2013) Association between common alcohol dehydrogenase gene (ADH) variants and schizophrenia and autism. Hum Genet 132:735-43

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