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Universal, robust, highly quantitative SNP allele frequency measurement in DNA pools

Universal, robust, highly quantitative SNP allele frequency measurement in DNA pools Detecting alleles that confer small increments in susceptibility to disease will require large-scale allelic association studies of single-nucleotide polymorphisms (SNPs) in candidate, or positional candidate, genes. However, current genotyping technologies are one to two orders of magnitude too expensive to permit the analysis of thousands of SNPs in large samples. We have developed and thoroughly validated a highly accurate protocol for SNP allele frequency estimation in DNA pools based upon the SNaPshot (Applied Biosystems) chemistry adaptation of primer extension. Using this assay, we were able to estimate the difference in allele frequencies between pooled cases and controls (Δ) with a mean error of 0.01. Moreover, when we genotyped seven different SNPs in a single multiplex reaction, the results were similar, with a mean error for Δ of 0.008. The assay performed well for alleles of low frequency alleles ( f ~0.05) and was accurate even with relatively poor quality DNA template extracted from mouthwashes. Our assay conditions are generalisable, universal, robust and, therefore, for the first time, permit high-throughput association analysis at a realistic cost. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Human Genetics Springer Journals

Universal, robust, highly quantitative SNP allele frequency measurement in DNA pools

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References (20)

Publisher
Springer Journals
Copyright
Copyright © 2002 by Springer-Verlag
Subject
Legacy
ISSN
0340-6717
eISSN
1432-1203
DOI
10.1007/s00439-002-0706-6
pmid
12073018
Publisher site
See Article on Publisher Site

Abstract

Detecting alleles that confer small increments in susceptibility to disease will require large-scale allelic association studies of single-nucleotide polymorphisms (SNPs) in candidate, or positional candidate, genes. However, current genotyping technologies are one to two orders of magnitude too expensive to permit the analysis of thousands of SNPs in large samples. We have developed and thoroughly validated a highly accurate protocol for SNP allele frequency estimation in DNA pools based upon the SNaPshot (Applied Biosystems) chemistry adaptation of primer extension. Using this assay, we were able to estimate the difference in allele frequencies between pooled cases and controls (Δ) with a mean error of 0.01. Moreover, when we genotyped seven different SNPs in a single multiplex reaction, the results were similar, with a mean error for Δ of 0.008. The assay performed well for alleles of low frequency alleles ( f ~0.05) and was accurate even with relatively poor quality DNA template extracted from mouthwashes. Our assay conditions are generalisable, universal, robust and, therefore, for the first time, permit high-throughput association analysis at a realistic cost.

Journal

Human GeneticsSpringer Journals

Published: May 1, 2002

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