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Genotyping a selected set of tag SNPs is the cost-effective way for genome-wide association studies. The idea is based on the observation that SNPs located within a small distance in the human chromosomes are strongly correlated so that one SNP or a subset of SNPs, called tag SNPs, provide sufficient information to infer other SNPs. Such correlations are generally known as linkage disequilibrium (LD) and measured either pair-wise such as r2 or multi-to-one (multi-marker). A variety of algorithms have been proposed to identify, for a given set of SNPs, a subset of tag SNPs with which the rest of SNPs can be inferred through correlations with the tag SNPs. This paper focuses on the optimal tag SNP selection problem defined as finding the minimum number of tag SNPs so that the rest of the SNPs can be inferred through multi-allelic LD or pairwise LD with a pre-defined 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报
