SNP allele frequency estimation in DNA pools and variance components analysis
Author(s) -
Kate Downes,
Bryan J. Barratt,
Pelin Akan,
Sue J. Bumpstead,
Stacey D. Taylor,
David Clayton,
Panos Deloukas
Publication year - 2004
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/04365rr01
Subject(s) - genotyping , allele frequency , allele , biology , genetics , single nucleotide polymorphism , minor allele frequency , sample size determination , snp , genotype , statistics , mathematics , gene
The estimation of single nucleotide polymorphism (SNP) allele frequency in pooled DNA samples has been proposed as a cost-effective approach to whole genome association studies. However, the key issue is the allele frequency window in which a genotyping method operates and provides a statistically reliable answer. We assessed the homogeneous mass extend assay and estimated the variance associated with each experimental stage. We report that a relationship between estimated allele frequency and variance might exist, suggesting that high statistical power can be retained at low, as well as high, allele frequencies. Assuming this relationship, the formation of subpools consisting of 100 samples retains an effective sample size greater than 70% of the true sample size, with a savings of 11-fold the cost of an individual genotyping study, regardless of allele frequency.
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