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PubMed · 17094263

A tool for selecting SNPs for association studies based on observed linkage disequilibrium patterns.

Francisco M De La Vega·Hadar I Isaac·Charles R Scafe
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Abstract

The design of genetic association studies using single-nucleotide polymorphisms (SNPs) requires the selection of subsets of the variants providing high statistical power at a reasonable cost. SNPs must be selected to maximize the probability that a causative mutation is in linkage disequilibrium (LD) with at least one marker genotyped in the study. The HapMap project performed a genome-wide survey of genetic variation with about a million SNPs typed in four populations, providing a rich resource to inform the design of association studies. A number of strategies have been proposed for the selection of SNPs based on observed LD, including construction of metric LD maps and the selection of haplotype tagging SNPs. Power calculations are important at the study design stage to ensure successful results. Integrating these methods and annotations can be challenging: the algorithms required to implement these methods are complex to deploy, and all the necessary data and annotations are deposited in disparate databases. Here, we present the SNPbrowser Software, a freely available tool to assist in the LD-based selection of markers for association studies. This stand-alone application provides fast query capabilities and swift visualization of SNPs, gene annotations, power, haplotype blocks, and LD map coordinates. Wizards implement several common SNP selection workflows including the selection of optimal subsets of SNPs (e.g. tagging SNPs). Selected SNPs are screened for their conversion potential to either TaqMan SNP Genotyping Assays or the SNPlex Genotyping System, two commercially available genotyping platforms, expediting the set-up of genetic studies with an increased probability of success.

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Computational BiologyComputer GraphicsDatabases, Nucleic AcidGenotypeHaplotypesHumansLinkage DisequilibriumPolymorphism, Single NucleotideSoftwareJournal Article

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Francisco M De La Vega, Hadar I Isaac, Charles R Scafe. 2006. A tool for selecting SNPs for association studies based on observed linkage disequilibrium patterns.. https://pubmed.ncbi.nlm.nih.gov/17094263/

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