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Selection of representative SNP sets for genome-wide association studies: a metaheuristic approach

Üstünkar, G, Özöǧür-Akyüz, S, Weber, GW, Friedrich, CM and Aydin Son, Y (2011) Selection of representative SNP sets for genome-wide association studies: a metaheuristic approach Optimization Letters. pp. 1-12.

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Abstract

After the completion of Human Genome Project in 2003, it is now possible to associate genetic variations in the human genome with common and complex diseases. The current challenge now is to utilize the genomic data efficiently and to develop tools to improve our understanding of etiology of complex diseases. Many of the algorithms needed to deal with this task were originally developed in management science and operations research (OR). One application is to select a subset of the Single Nucleotide Polymorphism (SNP) biomarkers from the whole SNP set that is informative and small enough for subsequent association studies. In this paper, we present an OR application for representative SNP selection that implements our novel Simulated Annealing (SA) based feature-selection algorithm. We hope that our work will facilitate reliable identification of SNPs that are involved in the etiology of complex diseases and ultimately support timely identification of genomic disease biomarkers and the development of personalized-medicine approaches and targeted drug discoveries. © 2011 Springer-Verlag.

Item Type: Article
Authors :
NameEmailORCID
Üstünkar, GUNSPECIFIEDUNSPECIFIED
Özöǧür-Akyüz, SUNSPECIFIEDUNSPECIFIED
Weber, GWUNSPECIFIEDUNSPECIFIED
Friedrich, CMUNSPECIFIEDUNSPECIFIED
Aydin Son, YUNSPECIFIEDUNSPECIFIED
Date : 2011
Identification Number : 10.1007/s11590-011-0419-7
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:16
Last Modified : 17 May 2017 12:16
URI: http://epubs.surrey.ac.uk/id/eprint/834683

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