ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2015
XRCC5 as a risk gene for alcohol dependence: evidence from a genome-wide gene-set-based analysis and follow-up studies in Drosophila and humans.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Behavioral Neurobiology of Alcohol Addiction: A Decade of Great Challenges, New Hopes, and Hypes.Current topics in behavioral neurosciences · 2025Review
- The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives.Addiction biology · 2024Review
- Integration of evidence across human and model organism studies: A meeting report.Genes, brain, and behavior · 2021Review
- ERR and dPECR Suggest a Link Between Neuroprotection and the Regulation of Ethanol Consumption Preference.Frontiers in psychiatry · 2021Article
- Convergent Evidence From Humans and Drosophila melanogaster Implicates the Transcription Factor MEF2B/Mef2 in Alcohol Sensitivity.Alcoholism, clinical and experimental research · 2019Article
- Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder.Addiction biology · 2019Review
- Free will in addictive behaviors: A matter of definition.Addictive behaviors reports · 2017Review
- Adolescent Women Induce Lower Blood Alcohol Levels Than Men in a Laboratory Alcohol Self-Administration Experiment.Alcoholism, clinical and experimental research · 2016Article
- Alcohol Dependence Genetics: Lessons Learned From Genome-Wide Association Studies (GWAS) and Post-GWAS Analyses.Alcoholism, clinical and experimental research · 2015Review
Corrections and comments
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Authors and funding
34 authors at 18 institutions in 4 countries.
Funding
Abstract
Genetic factors have as large role as environmental factors in the etiology of alcohol dependence (AD). Although genome-wide association studies (GWAS) enable systematic searches for loci not hitherto implicated in the etiology of AD, many true findings may be missed owing to correction for multiple testing. The aim of the present study was to circumvent this limitation by searching for biological system-level differences, and then following up these findings in humans and animals. Gene-set-based analysis of GWAS data from 1333 cases and 2168 controls identified 19 significantly associated gene-sets, of which 5 could be replicated in an independent sample. Clustered in these gene-sets were novel and previously identified susceptibility genes. The most frequently present gene, ie in 6 out of 19 gene-sets, was X-ray repair complementing defective repair in Chinese hamster cells 5 (XRCC5). Previous human and animal studies have implicated XRCC5 in alcohol sensitivity. This phenotype is inversely correlated with the development of AD, presumably as more alcohol is required to achieve the desired effects. In the present study, the functional role of XRCC5 in AD was further validated in animals and humans. Drosophila mutants with reduced function of Ku80-the homolog of mammalian XRCC5-due to RNAi silencing showed reduced sensitivity to ethanol. In humans with free access to intravenous ethanol self-administration in the laboratory, the maximum achieved blood alcohol concentration was influenced in an allele-dose-dependent manner by genetic variation in XRCC5. In conclusion, our convergent approach identified new candidates and generated independent evidence for the involvement of XRCC5 in alcohol dependence.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.