Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies.
This is the final version of the article. Available from Universidad de Granada via the links in this record.
In this paper a search for the logical variants of gene-gene interactions in genome-wide association study (GWAS) data using ant colony optimisation is proposed. The method based on stochastic algorithms is tested on a large established database from the Wellcome Trust Case Control Consortium and is shown to discover logical operations between combinations of single nucleotide polymorphisms that can discriminate Type II diabetes. A variety of logical combinations are explored and the best discovered associations are found within reasonable computational time and are shown to be statistically significant
This study makes use of data generated by the Wellcome Trust Case Control Consortium. A full list of the investigators who contributed to the generation of the data is available from http://www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113. The work contained in this paper was funded by an EPSRC First Grant (EP/J007439/1) and we acknowledge their kind support.
International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2013, Granada, Spain, March 18-20, 2013. Proceedings. Copicentro Editorial 2013, pp. 449 - 456