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Mapping 250K/500K SNP assay

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6 GeneChip ® <strong>Mapping</strong> <strong>500K</strong> Assay Manual<br />

The third-generation product in the mapping portfolio, the<br />

GeneChip ® Human <strong>Mapping</strong> <strong>500K</strong> Array Set, also uses the WGSA<br />

<strong>assay</strong> that has been the hallmark characteristic of all previous mapping<br />

arrays. An outline of the <strong>assay</strong> steps is shown in Figure 1.1 and Figure<br />

1.2. By changing the choice of the restriction enzymes used in WGSA,<br />

and therefore the complexity of the resulting PCR products, along<br />

with an increase in the information capacity of the high-density arrays<br />

themselves, genotyping of 500,000 <strong>SNP</strong>s has been enabled on two<br />

arrays. This increase in the number of <strong>SNP</strong>s allows for higher density,<br />

genome-wide mapping sets, which in turn will increase the amount of<br />

information that can be extracted for association studies, the<br />

identification of DNA copy number alterations, and population substructure.<br />

Estimates for the number of <strong>SNP</strong>s that need to be genotyped<br />

for whole-genome association studies using large population based<br />

samples range from 100,000 to 1,000,000 depending on the disease,<br />

population or number of samples being studied [63-66]. In order to<br />

leverage the power of <strong>SNP</strong>s in genetic studies, we have developed a<br />

DNA target preparation method that, when combined with allelic<br />

discrimination via hybridization and with an automated genotype<br />

calling algorithm [67], allows rapid and accurate genotypic<br />

information at a fraction of the cost of current approaches. The<br />

<strong>Mapping</strong> <strong>500K</strong> Set thus provides a powerful, flexible, cost-effective<br />

approach for scoring <strong>SNP</strong> genotypes in large numbers of samples and<br />

will provide a new technological paradigm for the design of wholegenome<br />

association studies.

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