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First to Whole-Genome Association
Affymetrix is enabling scientists to conduct whole-genome association studies today to understand the genetics of complex disease or drug response. Some of the key factors in designing a whole-genome association study include the number of SNPs, the number of samples, the population, and the underlying disease genetics.
- Small studies can be designed to identify the “low-hanging fruit,” a few key genes with large genetic effects.
- Larger studies can be designed to help identify the comprehensive catalog of genes, pathways, and predictive biomarkers.
First to Publication—Whole-Genome Analysis at Work
Studies using the GeneChip® Mapping 100K Set are already being published, demonstrating the value and broad applicability of the whole-genome approach. A landmark study published in Science describes the use of the Mapping 100K Set whole-genome association analysis in finding a key gene in age-related macular degeneration (AMD). The Serono Institute used the Mapping 100K Set to identify 80 genes related to multiple sclerosis (MS). These genes, along with many more they expect to find with the Mapping 500K Set, are expected to fall in 5–10 key pathways. To learn more:
First to 500K—A Growing Family of Whole-Genome Analysis Products
In just two years, Affymetrix has moved from the GeneChip® Mapping 10K Array to the Mapping 500K Set, bringing whole-genome SNP analysis to the benchtop and enabling scientists to perform experiments that could not be done before. The GeneChip® Mapping 500K Set enables high-powered whole-genome association with the same proven assay. The Mapping 500K Set features 500,000 content-optimized SNPs chosen to maximize genome power and discovery rate.
First in Flexibility—Include Targeted Genotype Custom Assays for Customized Experiments
Often the ideal experiment tests a pre-existing hypothesis about particular genes, pathways, or regions of the genome.Creating a custom SNP panel to use in conjunction with the Mapping 500K Set enhances the information content in a specific region of interest. Or, combine a 10K coding SNP panel with the Mapping 500K Set to include more non-synonymous SNPs in the genome-wide view. Another option is to perform a whole-genome scan to identify areas of interest, followed by a Targeted Genotyping custom panel to do a fine-mapping or replication study homing in on genes of interest or relevance.
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