ArticleBMC genomics2012
Multi-species data integration and gene ranking enrich significant results in an alcoholism genome-wide association study.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 54 citations in OpenAlex.
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- GABBR1 and SLC6A1, Two Genes Involved in Modulation of GABA Synaptic Transmission, Influence Risk for Alcoholism: Results from Three Ethnically Diverse Populations.Alcoholism, clinical and experimental research · 2016Article
- Polymorphisms in early neurodevelopmental genes affect natural variation in alcohol sensitivity in adult drosophila.BMC genomics · 2015Article
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- Candidate gene-environment interaction research: reflections and recommendations.Perspectives on psychological science : a journal of the Association for Psychological Science · 2015Review
- Genetic Addiction Risk Score (GARS): molecular neurogenetic evidence for predisposition to Reward Deficiency Syndrome (RDS).Molecular neurobiology · 2014Article
- Genetics and genomics of alcohol sensitivity.Molecular genetics and genomics : MGG · 2014Review
- Genetic risk prediction and neurobiological understanding of alcoholism.Translational psychiatry · 2014Article
- Molecular and neurologic responses to chronic alcohol use.Handbook of clinical neurology · 2014Review
- Multi-dimensional prioritization of dental caries candidate genes and its enriched dense network modules.PloS one · 2013Article
- Association signals unveiled by a comprehensive gene set enrichment analysis of dental caries genome-wide association studies.PloS one · 2013Article
- Genomics in 2012: challenges and opportunities in the next generation sequencing era.BMC genomics · 2012Article
Corrections and comments
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Authors and funding
18 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundA variety of species and experimental designs have been used to study genetic influences on alcohol dependence, ethanol response, and related traits. Integration of these heterogeneous data can be used to produce a ranked target gene list for additional investigation.
resultsIn this study, we performed a unique multi-species evidence-based data integration using three microarray experiments in mice or humans that generated an initial alcohol dependence (AD) related genes list, human linkage and association results, and gene sets implicated in C. elegans and Drosophila. We then used permutation and false discovery rate (FDR) analyses on the genome-wide association studies (GWAS) dataset from the Collaborative Study on the Genetics of Alcoholism (COGA) to evaluate the ranking results and weighting matrices. We found one weighting score matrix could increase FDR based q-values for a list of 47 genes with a score greater than 2. Our follow up functional enrichment tests revealed these genes were primarily involved in brain responses to ethanol and neural adaptations occurring with alcoholism.
conclusionsThese results, along with our experimental validation of specific genes in mice, C. elegans and Drosophila, suggest that a cross-species evidence-based approach is useful to identify candidate genes contributing to alcoholism.
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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.