Linkage analysis of alcohol dependence symptoms in the community.

Narelle K. Hansell, Arpana Agrawal, John B. Whitfield, Katherine I. Morley, Scott D. Gordon, Penelope A. Lind, Michele L. Pergadia, Grant W. Montgomery, Pamela A.F. Madden, Richard D. Todd, Andrew C. Heath, Nicholas G. Martin

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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.

Original languageEnglish
Pages (from-to)158-163
Number of pages6
JournalAlcoholism, clinical and experimental research
Issue number1
StatePublished - Jan 2010


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