Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies
Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies
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发表时间：
2013
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通讯作者：
Emmanuel Sapin;E. Keedwell;T. Frayling
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作者：
Emmanuel Sapin;E. Keedwell;T. Frayling
在本文中，提出了使用蚁群优化来搜索全基因组关联研究（GWAS）数据中基因与基因相互作用的逻辑变异。基于随机算法的方法在 Wellcome Trust 病例控制联盟的大型数据库上进行了测试，结果表明可以发现可区分 II 型糖尿病的单核苷酸多态性组合之间的逻辑运算。探索了各种逻辑组合，并在合理的计算时间内找到了最佳发现的关联，并显示出统计显着性。
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 al- gorithms is tested on a large established database from the Wellcome Trust Case Control Consortium and is shown to discover logical opera- tions between combinations of single nucleotide polymorphisms that can discriminate Type II diabetes. A variety of logical combinations are ex- plored and the best discovered associations are found within reasonable computational time and are shown to be statistically significant.