SynthesisBMC genomics2009
QTL global meta-analysis: are trait determining genes clustered?
Synthesis in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 31 citations in OpenAlex.
- Exploration and Enrichment Analysis of the QTLome for Important Traits in Livestock Species.Genes · 2024Article
- Integrated meta-QTL and in silico transcriptome assessment pinpoint major genomic regions responsible for spike length in wheat (Triticum aestivum L.).The plant genome · 2024Article
- Differential allelic representation (DAR) identifies candidate eQTLs and improves transcriptome analysis.PLoS computational biology · 2024Article
- Zebrafish Chromosome 14 Gene Differential Expression in theFrontiers in genetics · 2021Article
- Lectin Sequence Distribution in QTLs from Rice (Oryza sativa) Suggest A Role in Morphological Traits and Stress Responses.International journal of molecular sciences · 2019Article
- Selection signature analysis reveals genes underlying sheep milking performance.Archives animal breeding · 2019Article
- Genomic regions associated with host response to porcine reproductive and respiratory syndrome vaccination and co-infection in nursery pigs.BMC genomics · 2017Article
- Action of multiple intra-QTL genes concerted around a co-localized transcription factor underpins a large effect QTL.Scientific reports · 2015Article
- Genome-wide association analyses for boar taint components and testicular traits revealed regions having pleiotropic effects.BMC genetics · 2015Article
- Genome-wide detection of selective signatures in Simmental cattle.Journal of applied genetics · 2014Article
- Phenotypic overlap in the contribution of individual genes to CNV pathogenicity revealed by cross-species computational analysis of single-gene mutations in humans, mice and zebrafish.Disease models & mechanisms · 2013Article
- Article
- Integrating genome annotation and QTL position to identify candidate genes for productivity, architecture and water-use efficiency in Populus spp.BMC plant biology · 2012Article
- Bovine Genome Database: integrated tools for genome annotation and discovery.Nucleic acids research · 2011Article
- Mapping quantitative trait loci (QTL) in sheep. II. Meta-assembly and identification of novel QTL for milk production traits in sheep.Genetics, selection, evolution : GSE · 2009Article
- Unlocking the bovine genome.BMC genomics · 2009Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA key open question in biology is if genes are physically clustered with respect to their known functions or phenotypic effects. This is of particular interest for Quantitative Trait Loci (QTL) where a QTL region could contain a number of genes that contribute to the trait being measured.
resultsWe observed a significant increase in gene density within QTL regions compared to non-QTL regions and/or the entire bovine genome. By grouping QTL from the Bovine QTL Viewer database into 8 categories of non-redundant regions, we have been able to analyze gene density and gene function distribution, based on Gene Ontology (GO) with relation to their location within QTL regions, outside of QTL regions and across the entire bovine genome. We identified a number of GO terms that were significantly over represented within particular QTL categories. Furthermore, select GO terms expected to be associated with the QTL category based on common biological knowledge have also proved to be significantly over represented in QTL regions.
conclusionOur analysis provides evidence of over represented GO terms in QTL regions. This increased GO term density indicates possible clustering of gene functions within QTL regions of the bovine genome. Genes with similar functions may be grouped in specific locales and could be contributing to QTL traits. Moreover, we have identified over-represented GO terminology that from a biological standpoint, makes sense with respect to QTL category type.
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Registered trials
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.