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Identification of disease causing loci using an array-based genotyping approach on pooled DNA.
David W Craig1, Matthew J Huentelman, Diane Hu-Lince
1Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, Arizona 85004, USA. dcraig@tgen.org
BMC Genomics
|October 4, 2005
Summary
DNA pooling enables rapid, cost-effective genome-wide association studies. This study refines allelic frequency calculations and identifies inaccurate SNPs to improve genetic locus discovery and signal resolution.
Area of Science:
- Genomics
- Genetic Association Studies
Background:
- Genome-wide association studies (GWAS) utilize pooled DNA for rapid, cost-effective analysis.
- Accurate allelic frequency calculation is crucial for GWAS success.
- Identifying false-positives from assay variability and resolving association signals are key challenges.
Purpose of the Study:
- To report the accuracy of allelic frequency measurements in pooled DNA samples.
- To describe modifications for accurate allelic frequency prediction using k-correction factors.
- To demonstrate improved methods for identifying disease loci and resolving association signals.
Main Methods:
- Comparing allelic frequencies from pooled DNA to known frequencies from individual genotyping.
- Modifying k-correction factors derived from relative allele signal (RAS) values.
- Analyzing neighboring single nucleotide polymorphisms (SNPs) for improved signal resolution.
Main Results:
- Modified k-correction factors improve allelic frequency prediction accuracy.
- Inaccurate SNPs are identifiable by comparison with individual genotypes and pooled replicates.
- Disease loci can be identified by comparing case and control pool allelic frequencies.
- Incorporating neighboring SNP data enhances association signal resolution.
Conclusions:
- DNA pooling is effective for initial genetic locus identification.
- Eliminating inaccurate SNPs using individual genotype databases and pool replicates is essential.
- Neighboring SNP data integration improves association signal detection.