Single Nucleotide Polymorphism Mapping Array Assay
Xiaofeng Zhou, David T. Wong
Abstract
Xiaofeng Zhou, David T. Wong
Abstract
Single nucleotide polymorphisms (SNPs) are the most frequent form of DNA variation present in the human genome, and millions of SNPs have been identified http://www.ncbi.nlm.nih.gov/SNP/). Because of their abundance, even spacing, and stability across the genome, SNPs have significant advantages over other genetic markers (such as restriction fragment length polymorphisms and microsatellite markers) as a basis for high-resolution whole genome allelotyping. SNP scoring is easily automated and high-density oligonucleotide arrays have recently been generated to support large-scale high throughput SNP analysis. High-density SNP allele arrays have improved significantly and it is now possible to genotype hundreds of thousands SNP markers using a single SNP array. In this chapter, we will provide a detailed experimental protocol of Affymetrix GeneChip SNP Mapping Array-based whole genome SNP genotyping assay.
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Single nucleotide polymorphisms (SNPs) are the most frequent form of DNA variation present in the human genome, and millions of SNPs have been identified http://www.ncbi.nlm.nih.gov/SNP/). Because of their abundance, even spacing, and stability across the genome, SNPs have significant advantages over other genetic markers (such as restriction fragment length polymorphisms and microsatellite markers) as a basis for high-resolution whole genome allelotyping. SNP scoring is easily automated and high-density oligonucleotide arrays have recently been generated to support large-scale high throughput SNP analysis. High-density SNP allele arrays have improved significantly and it is now possible to genotype hundreds of thousands SNP markers using a single SNP array. In this chapter, we will provide a detailed experimental protocol of Affymetrix GeneChip SNP Mapping Array-based whole genome SNP genotyping assay.
Key concepts: Single-nucleotide polymorphism, Genetics, Polymorphism (computer science), Biology, Computational biology, Genotype, Gene