ArticleAddiction biology2011
Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes.
Article in Addiction biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Identification of ethanol analgesia quantitative trait loci and candidate genes in BXD recombinant inbred mouse lines.Addiction biology · 2025Article
- Identification of ethanol analgesia quantitative trait loci and candidate genes in BXD recombinant inbred mouse lines.bioRxiv : the preprint server for biology · 2024Article
- Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network.PLoS computational biology · 2018Article
- Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse.BMC genomics · 2018Article
- miRNA-regulated transcription associated with mouse strains predisposed to hypnotic effects of ethanol.Brain and behavior · 2018Article
- Rat Genome and Model Resources.ILAR journal · 2017Review
- Genetics of gene expression characterizes response to selective breeding for alcohol preference.Genes, brain, and behavior · 2014Article
- Hands-on workshops as an effective means of learning advanced technologies including genomics, proteomics and bioinformatics.Genomics, proteomics & bioinformatics · 2013Article
- Convergent functional genomics in addiction research - a translational approach to study candidate genes and gene networks.In silico pharmacology · 2013Review
- Using genome-wide expression profiling to define gene networks relevant to the study of complex traits: from RNA integrity to network topology.International review of neurobiology · 2012Review
- Genetical genomic analysis of complex phenotypes using the PhenoGen website.Behavior genetics · 2011Article
- A systems genetic analysis of alcohol drinking by mice, rats and men: influence of brain GABAergic transmission.Neuropharmacology · 2011Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The identification of genes that contribute to polygenic (complex) behavioral phenotypes is a key goal of current genetic research. One approach to this goal is to combine gene expression information with genetic information, i.e. to map chromosomal regions that regulate gene expression levels. This approach has been termed 'genetical genomics', and, when used in conjunction with the identification of genomic regions (QTLs) that regulate the complex physiological trait under investigation, provides a strong basis for candidate gene discovery. In this paper, we describe the implementation of the genetical genomic/phenotypic approach to identify candidate genes for sensitivity to the analgesic effect of morphine in BXD recombinant inbred mice. Our analysis was performed 'in silico', using an online interactive resource called PhenoGen (http://phenogen.ucdenver.edu). We describe in detail the use of this resource, which identified a set of candidate genes, some of whose products regulate the cellular localization and activity of the mu opiate receptor. The results demonstrate how PhenoGen can be used to identify a novel set of genes that can be further investigated for their potential role in pain, morphine analgesia and/or morphine tolerance.
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Registered trials
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