Linkage analysis of alcohol dependence symptoms in the community.
- Authors
- Hansell, Narelle K; Agrawal, Arpana; Whitfield, John B; Morley, Katherine I; Gordon, Scott D; Lind, Penelope A; Pergadia, Michele L; Montgomery, Grant W; Madden, Pamela A F; Todd, Richard D; Heath, Andrew C; Martin, Nicholas G
- Year
- 2010
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 19860796
- DOI
- 10.1111/j.1530-0277.2009.01077.x
- PMCID
- PMC3210700
BACKGROUND: We have previously identified suggestive linkage for alcohol consumption in a community-based sample of Australian adults. In this companion paper, we explore the strength of genetic linkage signals for alcohol dependence symptoms. METHODS: An alcohol dependence symptom score, based on DSM-IIIR and DSM-IV criteria, was examined. Twins and their nontwin siblings (1,654 males, 2,518 females), aged 21 to 81 years, were interviewed, with 803 individuals interviewed on 2 occasions, approximately 10 years apart. Linkage analyses were conducted on datasets compiled to maximize data collected at either the younger or the older age. In addition, linkage was compared between full samples and truncated samples that excluded the lightest drinkers (approximately 10% of the sample). RESULTS: Suggestive peaks on chromosome 5p (LODs >2.2) were found in a region previously identified in alcohol linkage studies using clinical populations. Linkage signal strength was found to vary between full and truncated samples and when samples differed only on the collection age for a sample subset. CONCLUSIONS: The results support the finding that large community samples can be informative in the study of alcohol-related traits.
Distributions of alcohol dependence symptom scores (derived from 9 symptoms with a maximum score of 11) are shown for full (100%) and truncated samples and for datasets that differ for a subset of 803 individuals for whom data were collected on two occasions (1st occasion data (M = 1.8 ± 2.2) were included in the Younger dataset and 2nd occasion data M = 2.2 ± 2.6) in the Older dataset).
Multipoint LOD scores for alcohol dependence symptom score are shown for Younger and Older samples (identical except for a subset of 822 individuals for whom data were collected on two occasions with first occasion data included in the Younger dataset and second occasion data in the Older dataset) and for full (100%) and truncated (~90%) samples. Gene locations are shown for the GABAA and ADH gene clusters and CHRM2, all of which have been associated with alcohol phenotypes in multiple studies (Edenberg and Foroud, 2006) and GAD1, SLC1A3, and CDH12, which are candidate addiction genes found under current linkage peaks.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| The genetics of substance dependence. | 2012 | 22703173 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| The genetics of alcohol dependence and alcohol-related liver disease. | Stickel F et al. | — | 2017 | → |
| Integrating GWASs and human protein interaction networks identifies a gene subnetwork underlying alcohol dependence. | Han S et al. | — | 2013 | → |
| The genetics of alcohol dependence. | Rietschel M et al. | — | 2013 | → |
| Discovering genes involved in alcohol dependence and other alcohol responses: role of animal models. | Buck KJ et al. | — | 2012 | → |
| The genetics of substance dependence. | Wang JC et al. | — | 2012 | → |