Literature DB >> 7686270

PCR amplification of specific alleles: rapid detection of known mutations and polymorphisms.

C D Bottema1, S S Sommer.   

Abstract

We review a method termed PCR Amplification of Specific Alleles (PASA), a generally applicable technique for the detection of known point mutations, small deletions and insertions, polymorphisms and other sequence variations. PASA is a modification of PCR that depends on the synthesis of a PCR oligonucleotide primer that precisely matches with one of the alleles but mismatches with the other. When the mismatch occurs near the 3' end of the PCR primer, amplification is inefficient. Therefore, preferential amplification of the perfectly matched allele is obtained. The method should be generally applicable as our results indicate that with proper optimization all possible alleles can be reliably distinguished. The ease and technical simplicity of PASA make genetic analyses more accessible. PASA can be also adapted to accommodate specific requirements and can be extended by incorporating other techniques. Moreover, PASA shows promise for population screening because the technique is rapid, highly reproducible, inexpensive, nonisotopic, and amendable to automation.

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Year:  1993        PMID: 7686270     DOI: 10.1016/0027-5107(93)90211-w

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  29 in total

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Authors:  R Scozzari; F Cruciani; P Santolamazza; P Malaspina; A Torroni; D Sellitto; B Arredi; G Destro-Bisol; G De Stefano; O Rickards; C Martinez-Labarga; D Modiano; G Biondi; P Moral; A Olckers; D C Wallace; A Novelletto
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Identification of three genetic risk factors for venous thrombosis using a multiplex allele-specific PCR assay: comparison of conventional and new alternative methods for the preparation of DNA from clinical samples.

Authors:  Antonio Angelini; Concetta Di Febbo; Giovanna Baccante; Marcello Di Nisio; Carmine Di Ilio; Franco Cuccurullo; Ettore Porreca
Journal:  J Thromb Thrombolysis       Date:  2003-12       Impact factor: 2.300

Review 3.  The influence of subclonal resistance mutations on targeted cancer therapy.

Authors:  Michael W Schmitt; Lawrence A Loeb; Jesse J Salk
Journal:  Nat Rev Clin Oncol       Date:  2015-10-20       Impact factor: 66.675

4.  Detection of known mutation by proof-reading PCR.

Authors:  W Bi; P J Stambrook
Journal:  Nucleic Acids Res       Date:  1998-06-15       Impact factor: 16.971

5.  Single-well genotyping of diallelic sequence variations by a two-color ELISA-based oligonucleotide ligation assay.

Authors:  V O Tobe; S L Taylor; D A Nickerson
Journal:  Nucleic Acids Res       Date:  1996-10-01       Impact factor: 16.971

6.  CCR: a rapid and simple approach for mutation detection.

Authors:  W Bi; P J Stambrook
Journal:  Nucleic Acids Res       Date:  1997-07-15       Impact factor: 16.971

Review 7.  Quantitative trait loci from identification to exploitation for crop improvement.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta; Sunanda Gupta; Sonali Dubey; Priyanka Gupta; Shiv Kumar
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

8.  Identification of Pneumocystis carinii f. sp. hominis gene sequences in filtered air in hospital environments.

Authors:  M Olsson; C Lidman; S Latouche; A Björkman; P Roux; E Linder; M Wahlgren
Journal:  J Clin Microbiol       Date:  1998-06       Impact factor: 5.948

9.  Assessment of aneuploidy for chromosomes 8, 9, 13, 16, and 21 in human sperm by using primed in situ labeling technique.

Authors:  F Pellestor; A Girardet; L Coignet; B Andréo; J P Charlieu
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

10.  Promoter methylation analysis of O6-methylguanine-DNA methyltransferase in glioblastoma: detection by locked nucleic acid based quantitative PCR using an imprinted gene (SNURF) as a reference.

Authors:  Luca Morandi; Enrico Franceschi; Dario de Biase; Gianluca Marucci; Alicia Tosoni; Mario Ermani; Annalisa Pession; Giovanni Tallini; Alba Brandes
Journal:  BMC Cancer       Date:  2010-02-18       Impact factor: 4.430

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