Genome-wide selection of tag SNPs using multiple-marker correlation

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Genome-wide selection of tag SNPs using multiple-marker correlation

MOTIVATIONS The tag SNP approach is a valuable tool in whole genome association studies, and a variety of algorithms have been proposed to identify the optimal tag SNP set. Currently, most tag SNP selection is based on two-marker (pairwise) linkage disequilibrium (LD). Recent literature has shown that multiple-marker LD also contains useful information that can further increase the genetic cove...

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A new model of multi-marker correlation for genome-wide tag SNP selection.

Tag SNP selection is an important problem in computational biology and genetics because a small set of tag SNP markers may help reduce the cost of genotyping and thus genome-wide association studies. Several methods for selecting a smallest possible set of tag SNPs based on different formulations of tag SNP selection (block-based or genome-wide) and mathematical models of marker correlation hav...

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On the Selection of Robust Tag SNPs

Recent studies have shown that the chromosome recombination only takes places at some narrow hotspots. Within segments between these hotspots, called haplotype block, little or even no recombination occurs and a small subset of SNPs, called tag SNPs, are sufficient to capture the entire block pattern. However, the tag SNP may be genotyped as missing data if it does not pass the threshold of dat...

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Genomic selection: marker assisted selection on a genome wide scale.

Genomic selection (GS) has become a very intense field of research during recent years. GS may be defined as the simultaneous selection for many (tens or hundreds of thousands of) markers, which cover the entire genome in a dense manner so that all genes are expected to be in linkage disequilibrium with at least some of the markers. In a sense, GS is marker assisted selection on a genome wide s...

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Discovering Genome-Wide Tag SNPs Based on the Mutual Information of the Variants

Exploring linkage disequilibrium (LD) patterns among the single nucleotide polymorphism (SNP) sites can improve the accuracy and cost-effectiveness of genomic association studies, whereby representative (tag) SNPs are identified to sufficiently represent the genomic diversity in populations. There has been considerable amount of effort in developing efficient algorithms to select tag SNPs from ...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2007

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btm496