Measures of Current Alcohol Consumption and Problems: Two Independent Twin Studies Suggest a Complex Genetic Architecture
Article first published online: 20 JUN 2011
Copyright © 2011 by the Research Society on Alcoholism
Alcoholism: Clinical and Experimental Research
Volume 35, Issue 12, pages 2152–2161, December 2011
How to Cite
Dick, D. M., Meyers, J. L., Rose, R. J., Kaprio, J. and Kendler, K. S. (2011), Measures of Current Alcohol Consumption and Problems: Two Independent Twin Studies Suggest a Complex Genetic Architecture. Alcoholism: Clinical and Experimental Research, 35: 2152–2161. doi: 10.1111/j.1530-0277.2011.01564.x
- Issue published online: 18 NOV 2011
- Article first published online: 20 JUN 2011
- Received for publication December 1, 2010; accepted March 21, 2011.
- Alcohol Consumption;
- Alcohol Dependence;
- Gene Finding;
- Genetic Influence;
- Twin Studies
Background: Twin studies demonstrate that measures of alcohol consumption (AC) show evidence of genetic influence, suggesting they may be useful in gene identification efforts. The extent to which these phenotypes will be informative in identifying susceptibility genes involved in alcohol dependence depends on the extent to which genetic influences are shared across measures of AC and alcohol problems. Previous studies have demonstrated that AC reported for the period of heaviest lifetime drinking shows a large degree of genetic overlap with alcohol dependence; however, many studies with genetic material assess current AC. Further, there are many different aspects of AC that can be assessed (e.g., frequency of use, quantity of use, and frequency of intoxication).
Methods: Here, we use data from 2 large, independent, population-based twin samples, FinnTwin 16 and The Virginia Adult Twin Study of Psychiatric and Substance Use Disorders, to examine the extent to which genetic influences are shared across many different measures of AC and alcohol problems.
Results: Genetic correlations across current AC measures and alcohol problems were high across both samples. However, both samples suggest a complex genetic architecture with many different genetic factors influencing various aspects of current AC and problems.
Conclusions: These results suggest that careful attention must be paid to the phenotype in efforts to “replicate” genetic effects across samples or combine samples for meta-analyses of genetic effects influencing susceptibility to alcohol-related outcomes.