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Mapping 250K/500K SNP assay

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chapter 1 | Overview 5<br />

LD patterns and haplotype block structure across the genome,<br />

improvements in the design and power of association studies will be<br />

feasible [11-18].<br />

We have developed an <strong>assay</strong> termed whole-genome sampling analysis<br />

(WGSA) for highly multiplexed <strong>SNP</strong> genotyping of complex DNA<br />

[19, 20]. This method reproducibly amplifies a subset of the human<br />

genome through a single primer amplification reaction using<br />

restriction enzyme digested, adaptor-ligated human genomic DNA.<br />

In contrast, many alternative genotyping technologies depend on<br />

multiple (2 to 6) locus-specific oligonucleotides per <strong>SNP</strong>, which often<br />

precludes scaling due to cost and technical difficulty to the magnitude<br />

required for linkage and association studies. This <strong>assay</strong> was first<br />

developed for simultaneous genotyping of over 10,000 <strong>SNP</strong>s on a<br />

single array (GeneChip ® Human <strong>Mapping</strong> 10K Array Xba 142 2.0)<br />

and has been used to date for both linkage studies [21-34] and<br />

association studies [35-39]. Recently, the WGSA <strong>assay</strong> has been<br />

extended to allow highly accurate <strong>SNP</strong> genotyping of over 100,000<br />

<strong>SNP</strong>s using the two array GeneChip ® Human <strong>Mapping</strong> 100K Set<br />

[40]. With an average inter-marker distance of 23.6 kb, the arrays<br />

provide increasingly dense coverage for whole-genome association<br />

studies [41]. Recently, landmark breakthroughs in age-related<br />

macular degeneration and multiple sclerosis provide additional<br />

examples that this approach has now been proven to work for wholegenome<br />

association studies [42, 43]. The same characteristics that<br />

make <strong>SNP</strong>s useful markers for genetic studies also make <strong>SNP</strong>s<br />

powerful markers for additional biological applications such as the<br />

analysis of DNA copy number changes which include but are not<br />

limited to loss of heterozygosity (LOH), deletions, and gene<br />

amplifications [44-55]. Furthermore, integration of DNA copy<br />

number changes with gene expression changes provides a powerful<br />

paradigm for elucidating gene function [56].With the recent<br />

identification of large-scale copy number polymorphisms in the<br />

human genome as well, it is increasingly clear that a detailed<br />

understanding of the role of genomic alterations and structure will be<br />

important in the context of both the normal and disease state [57-60],<br />

and the high-resolution of the genotyping arrays should prove<br />

valuable in this arena. Additionally, large-scale <strong>SNP</strong> genotyping<br />

provides the basis for complex studies on population and admixture<br />

structure [61, 62].

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