author_facet Downes, Kate
Barratt, Bryan J.
Akan, Pelin
Bumpstead, Sue J.
Taylor, Stacey D.
Clayton, David G.
Deloukas, Panos
Downes, Kate
Barratt, Bryan J.
Akan, Pelin
Bumpstead, Sue J.
Taylor, Stacey D.
Clayton, David G.
Deloukas, Panos
author Downes, Kate
Barratt, Bryan J.
Akan, Pelin
Bumpstead, Sue J.
Taylor, Stacey D.
Clayton, David G.
Deloukas, Panos
spellingShingle Downes, Kate
Barratt, Bryan J.
Akan, Pelin
Bumpstead, Sue J.
Taylor, Stacey D.
Clayton, David G.
Deloukas, Panos
BioTechniques
SNP allele frequency estimation in DNA pools and variance components analysis
General Biochemistry, Genetics and Molecular Biology
Biotechnology
author_sort downes, kate
spelling Downes, Kate Barratt, Bryan J. Akan, Pelin Bumpstead, Sue J. Taylor, Stacey D. Clayton, David G. Deloukas, Panos 0736-6205 1940-9818 Future Science Ltd General Biochemistry, Genetics and Molecular Biology Biotechnology http://dx.doi.org/10.2144/04365rr01 <jats:p> 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. </jats:p> SNP allele frequency estimation in DNA pools and variance components analysis BioTechniques
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title SNP allele frequency estimation in DNA pools and variance components analysis
title_unstemmed SNP allele frequency estimation in DNA pools and variance components analysis
title_full SNP allele frequency estimation in DNA pools and variance components analysis
title_fullStr SNP allele frequency estimation in DNA pools and variance components analysis
title_full_unstemmed SNP allele frequency estimation in DNA pools and variance components analysis
title_short SNP allele frequency estimation in DNA pools and variance components analysis
title_sort snp allele frequency estimation in dna pools and variance components analysis
topic General Biochemistry, Genetics and Molecular Biology
Biotechnology
url http://dx.doi.org/10.2144/04365rr01
publishDate 2004
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description <jats:p> 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. </jats:p>
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author Downes, Kate, Barratt, Bryan J., Akan, Pelin, Bumpstead, Sue J., Taylor, Stacey D., Clayton, David G., Deloukas, Panos
author_facet Downes, Kate, Barratt, Bryan J., Akan, Pelin, Bumpstead, Sue J., Taylor, Stacey D., Clayton, David G., Deloukas, Panos, Downes, Kate, Barratt, Bryan J., Akan, Pelin, Bumpstead, Sue J., Taylor, Stacey D., Clayton, David G., Deloukas, Panos
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description <jats:p> 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. </jats:p>
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spelling Downes, Kate Barratt, Bryan J. Akan, Pelin Bumpstead, Sue J. Taylor, Stacey D. Clayton, David G. Deloukas, Panos 0736-6205 1940-9818 Future Science Ltd General Biochemistry, Genetics and Molecular Biology Biotechnology http://dx.doi.org/10.2144/04365rr01 <jats:p> 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. </jats:p> SNP allele frequency estimation in DNA pools and variance components analysis BioTechniques
spellingShingle Downes, Kate, Barratt, Bryan J., Akan, Pelin, Bumpstead, Sue J., Taylor, Stacey D., Clayton, David G., Deloukas, Panos, BioTechniques, SNP allele frequency estimation in DNA pools and variance components analysis, General Biochemistry, Genetics and Molecular Biology, Biotechnology
title SNP allele frequency estimation in DNA pools and variance components analysis
title_full SNP allele frequency estimation in DNA pools and variance components analysis
title_fullStr SNP allele frequency estimation in DNA pools and variance components analysis
title_full_unstemmed SNP allele frequency estimation in DNA pools and variance components analysis
title_short SNP allele frequency estimation in DNA pools and variance components analysis
title_sort snp allele frequency estimation in dna pools and variance components analysis
title_unstemmed SNP allele frequency estimation in DNA pools and variance components analysis
topic General Biochemistry, Genetics and Molecular Biology, Biotechnology
url http://dx.doi.org/10.2144/04365rr01