Literature DB >> 12019787

Rapid SNP allele frequency determination in genomic DNA pools by pyrosequencing.

B Neve1, P Froguel, L Corset, E Vaillant, V Vatin, P Boutin.   

Abstract

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 allelefrequencies determined in DNA pools. We have developed an accurate and reproducible protocol for allele frequency determination using Pyrosequencing technology in large genomic DNA pools (374 individuals). The measured correlation (R2) 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 allelefrequency differences in case/control groups for association studies and susceptibility gene discovery in complex diseases.

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Year:  2002        PMID: 12019787     DOI: 10.2144/02325dd03

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  18 in total

1.  High-throughput screening for evidence of association by using mass spectrometry genotyping on DNA pools.

Authors:  Karen L Mohlke; Michael R Erdos; Laura J Scott; Tasha E Fingerlin; Anne U Jackson; Kaisa Silander; Pablo Hollstein; Michael Boehnke; Francis S Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-13       Impact factor: 11.205

2.  A sensitive method for detecting variation in copy numbers of duplicated genes.

Authors:  Gerli Pielberg; Andy E Day; Graham S Plastow; Leif Andersson
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

3.  An efficient haplotyping method with DNA pools.

Authors:  Ester Inbar; Benjamin Yakir; Ariel Darvasi
Journal:  Nucleic Acids Res       Date:  2002-08-01       Impact factor: 16.971

4.  Direct amplification of single-stranded DNA for pyrosequencing using linear-after-the-exponential (LATE)-PCR.

Authors:  Jesse J Salk; J Aquiles Sanchez; Kenneth E Pierce; John E Rice; Kevin C Soares; Lawrence J Wangh
Journal:  Anal Biochem       Date:  2006-02-28       Impact factor: 3.365

5.  Rapid identification of promoter hypermethylation in hepatocellular carcinoma by pyrosequencing of etiologically homogeneous sample pools.

Authors:  Emelyne Dejeux; Virginie Audard; Catherine Cavard; Ivo Glynne Gut; Benoit Terris; Jörg Tost
Journal:  J Mol Diagn       Date:  2007-08-09       Impact factor: 5.568

6.  Exploring of new Y-chromosome SNP loci using Pyrosequencing and the SNaPshot methods.

Authors:  Wei Wei; Hai-Bo Luo; Jing Yan; Yi-Ping Hou
Journal:  Int J Legal Med       Date:  2011-07-21       Impact factor: 2.686

7.  Detection of aneuploidies by paralogous sequence quantification.

Authors:  S Deutsch; U Choudhury; G Merla; C Howald; A Sylvan; S E Antonarakis
Journal:  J Med Genet       Date:  2004-12       Impact factor: 6.318

8.  Assignment of SNP allelic configuration in polyploids using competitive allele-specific PCR: application to citrus triploid progeny.

Authors:  José Cuenca; Pablo Aleza; Luis Navarro; Patrick Ollitrault
Journal:  Ann Bot       Date:  2013-02-18       Impact factor: 4.357

9.  Cis-regulatory evolution of chalcone-synthase expression in the genus Arabidopsis.

Authors:  Juliette de Meaux; A Pop; T Mitchell-Olds
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

10.  Fitness effects of altering gene expression noise in Saccharomyces cerevisiae.

Authors:  Fabien Duveau; Andrea Hodgins-Davis; Brian Ph Metzger; Bing Yang; Stephen Tryban; Elizabeth A Walker; Tricia Lybrook; Patricia J Wittkopp
Journal:  Elife       Date:  2018-08-20       Impact factor: 8.140

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