Functionally informative tag SNP selection using a pareto-optimal approach: playing the game of life

Major interest in current epidemiology, medicine, and pharmarco-genomics is focused on identifying single nucleotide polymorphisms (SNPs) that underlie the etiology of common and complex diseases. However, due to the tremendous number of SNPs on the human genome, there is a clear need to prioritize SNPs to expedite genotyping and analysis overhead associated with disease-gene studies. Tag SNP selection and Functional SNP selection are the two main approaches for addressing the SNP selection problem. However, little was done so far to effectively combine these distinct and possibly competing approaches. Here we present a new multi-objective optimization framework for identifying SNPs that are both informative tagging and have functional significance.

Abstract licence: CC BY-NC-ND

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