Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/51568
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Type: Journal article
Title: QTL global meta-analysis: are trait determining genes clustered?
Author: Salih, H.
Adelson, D.
Citation: BMC Genomics, 2009; 10(1):1-8
Publisher: BioMed Central
Issue Date: 2009
ISSN: 1471-2164
1471-2164
Statement of
Responsibility: 
Hanni Salih and David L Adelson
Abstract: Background: A 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. Results: We 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. Conclusion: Our 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.
Keywords: Animals
Cattle
Cluster Analysis
Computational Biology
Genomics
Quantitative Trait Loci
Genome
Algorithms
Databases, Nucleic Acid
Rights: © 2009 Salih and Adelson; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1186/1471-2164-10-184
Appears in Collections:Aurora harvest 5
Environment Institute publications
Molecular and Biomedical Science publications

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