Rapid SNP Allele Frequency Determination in Genomic DNA Pools by PyrosequencingTM
Author(s) -
Bernadette Neve,
Philippe Froguel,
Laetitia Corset,
Emmanuel Vaillant,
Vincent Vatin,
Philippe Boutin
Publication year - 2002
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/02325dd03
Subject(s) - genotyping , snp genotyping , pyrosequencing , biology , genetics , single nucleotide polymorphism , allele frequency , multiplex , molecular inversion probe , genomic dna , allele , snp , linkage disequilibrium , dbsnp , genotype , computational biology , dna , gene
Individual genotyping of single nucleotide polymorphisms (SNPs) remains expensive, especially for linkage disequilibrium mapping strategies involving high-throughput SNP genotyping. On one hand, current methods may suit scientific and laboratory needs in regard to accuracy, reproducibility/robustness, and large-scale application. On the other hand, a cheaper and less time-consuming alternative to individual genotyping is the use of SNP allele frequencies determined in DNA pools. We have developed an accurate and reproducible protocol for allele frequency determination using Pyrosequencing TM technology in large genomic DNA pools (374 individuals). The measured correlation (R 2 ) in large DNA pools was 0.980. In the context of disease-associated SNPs studies, we compared the allele frequencies between the disease (e.g., type 2 diabetes and obesity) and control groups detected by either individual genotyping or Pyrosequencing of DNA pools. In large pools, the variation between the two methods was 1.5 ± 0.9%. It may be concluded that the allele frequency determination protocol could reliably detect over 4% differences between populations. The method is economical in regard to amounts of DNA, PCR, and primer extension reagents required. Furthermore, it allows the rapid determination of allele frequency differences in case/control groups for association studies and susceptibility gene discovery in complex diseases.
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