ArticleBMC proceedings2007
Controlling for false positive findings of trans-hubs in expression quantitative trait loci mapping.
Article in BMC proceedings, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci.Drug and alcohol dependence · 2020Article
- Gene networks associated with conditional fear in mice identified using a systems genetics approach.BMC systems biology · 2011Article
- Article
- Toxicogenetics: population-based testing of drug and chemical safety in mouse models.Pharmacogenomics · 2010Review
- Replication and narrowing of gene expression quantitative trait loci using inbred mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2009Article
- Genetical genomics: spotlight on QTL hotspots.PLoS genetics · 2008Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the fast-developing field of expression quantitative traits loci (eQTL) studies, much interest has been concentrated on detecting genomic regions containing transcriptional regulators that influence multiple expression phenotypes (trans-hubs). In this paper, we develop statistical methods for eQTL mapping and propose a new procedure for investigating candidate trans-hubs. We use data from the Genetic Analysis Workshop 15 to illustrate our methods. After correlations among expressions were accounted for, the previously detected trans-hubs are no longer significant. Our results suggest that conclusions regarding regulation hot spots should be treated with great caution.
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Registered trials
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