biostudies-literatureHansell NKNIDA NIH HHSNIAAA NIH HHS158-63https://www.ebi.ac.uk/biostudies/studies/S-EPMC3210700biostudies-literatureUnknown34(1)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.Alcoholism, clinical and experimental researchLinkage analysis of alcohol dependence symptoms in the community.PMC3210700AA13320R01 AA013326-05R01 AA013326R01 DA012854R01 AA013320-04AA014041(DA019951R01 AA013321R01 AA013320P60 AA011998P60 AA011998-11AA13321R01 AA007728AA13326R01 DA012854-07K08 DA019951DA023668R37 AA007728DA12854R01 AA014041-05AA07728R01 AA013321-05AA11998R01 DA023668-05K08 DA019951-05R56 DA012854R37 AA007728-20R01 DA023668R01 AA010249-04AA10248P50 AA011998R01 AA014041Whitfield JBPergadia MLTodd RDMontgomery GWMartin NGHansell NKMadden PAHeath ACLind PAAgrawal AMorley KIGordon SDfalseLinkage analysis of alcohol dependence symptoms in the community.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.2010-01-01T00:00:00Z2010 Jan2020-10-29T09:44:56Z2019-03-27T00:45:48ZS-EPMC32107001986079610.1111/j.1530-0277.2009.01077.x