ArticleAlcoholism, clinical and experimental research2009
Can we identify genes for alcohol consumption in samples ascertained for heterogeneous purposes?
Article in Alcoholism, clinical and experimental research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples.Alcoholism, clinical and experimental research · 2018Article
- Effects of high alcohol intake, alcohol-related symptoms and smoking on mortality.Addiction (Abingdon, England) · 2018Article
- Delta Opioid Pharmacology in Relation to Alcohol Behaviors.Handbook of experimental pharmacology · 2018Review
- Association of OPRD1 polymorphisms with heroin dependence in a large case-control series.Addiction biology · 2014Article
- Alcohol consumption in men is influenced by qualitatively different genetic factors in adolescence and adulthood.Psychological medicine · 2013Article
- ANKK1, TTC12, and NCAM1 polymorphisms and heroin dependence: importance of considering drug exposure.JAMA psychiatry · 2013Article
- The dynorphin/κ-opioid receptor system and its role in psychiatric disorders.Cellular and molecular life sciences : CMLS · 2012Review
- Linkage analysis of alcohol dependence symptoms in the community.Alcoholism, clinical and experimental research · 2010Article
- Article
- Alcohol consumption indices of genetic risk for alcohol dependence.Biological psychiatry · 2009Article
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12 authors.
Funding
Abstract
backgroundPrevious studies have identified evidence of genetic influence on alcohol use in samples selected to be informative for alcoholism research. However, there are a growing number of genome-wide association studies (GWAS) using samples unselected for alcohol consumption (i.e., selected on other traits and forms of psychopathology), which nevertheless assess consumption as a risk factor. Is it reasonable to expect that genes contributing to variation in alcohol consumption can be identified in such samples?
methodsAn exploratory approach was taken to determine whether linkage analyses for heaviness of alcohol consumption, using a sample collected for heterogeneous purposes, could replicate previous findings. Quantity and frequency measures of consumption were collected in telephone interviews from community samples. These measures, and genotyping, were available for 5,441 individuals (5,067 quasi-independent sibling pairs). For 1,533 of these individuals, data were collected on 2 occasions, about 8.2 years apart, providing 2 datasets that maximize data collected at either a younger or an older age. Analyses were conducted to address the question of whether age and heavier levels of alcohol consumption effects outcome. Linkage results were compared in the younger and older full samples, and with samples in which approximately 10, 20, and 40 of drinkers from the lower end of the distribution of alcohol consumption were dropped.
resultsLinkage peaks varied for the age differentiated samples and for percentage of light drinkers retained. Larger peaks (LOD scores >2.0) were typically found in regions previously identified in linkage studies and/or containing proposed candidate genes for alcoholism including AGT, CARTPT, OPRD1, PIK3R1, and PDYN.
conclusionsThe results suggest that GWAS assessing alcohol consumption as a covariate for other conditions will have some success in identifying genes contributing to consumption-related variation. However, sample characteristics, such as participant age, and trait distribution, may have substantial effects on the strength of the genetic signal. These results can inform forthcoming GWAS where the same restrictions apply.
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