Literature DB >> 9781026

A complete protein truncation test for BRCA1 and BRCA2.

A M Garvin1.   

Abstract

The protein truncation test (PTT) is currently the fastest method in general use for detecting previously unidentified mutations in tumor suppressor genes. Greater than three kilobases of coding sequence can be screened by one PCR reaction, one coupled in vitro transcription/translation reaction, and one lane on an SDS-PAGE gel. The 16 kb of BRCA1/2 coding sequence can be screened with nine overlapping segments. Since 90% of BRCA1/2 mutations result in a truncated protein product, the theoretical false negative rate for a BRCA1/2 PTT screen should be 10%. In practice the false negative rate is much higher, especially when cDNA is used as template. However, the actual false negative rate for a given screen will depend on the details of how the test is performed. Design of the overlapping segments, gel parameters, and nonsense mediated mRNA decay can all influence the effectiveness of the screen. BRCA1/2 screening by PTT can be optimised by considering these variables. Furthermore, nonsense-mediated mRNA decay can be inhibited by blocking protein synthesis with cycloheximide.

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Year:  1998        PMID: 9781026     DOI: 10.1038/sj.ejhg.5200172

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  4 in total

1.  Mutation detection in the breast cancer gene BRCA1 using the protein truncation test.

Authors:  W Moore; I Bogdarina; U A Patel; M Perry; C Crane-Robinson
Journal:  Mol Biotechnol       Date:  2000-02       Impact factor: 2.695

2.  An ELISA-based high throughput protein truncation test for inherited breast cancer.

Authors:  Mark J Lim; Gabriel J Foster; Sadanand Gite; Heather P Ostendorff; Steven Narod; Kenneth J Rothschild
Journal:  Breast Cancer Res       Date:  2010-10-04       Impact factor: 6.466

3.  Evaluation of models to predict BRCA germline mutations.

Authors:  H H Kang; R Williams; J Leary; C Ringland; J Kirk; R Ward
Journal:  Br J Cancer       Date:  2006-10-09       Impact factor: 7.640

4.  Selecting a BRCA risk assessment model for use in a familial cancer clinic.

Authors:  Seema M Panchal; Marguerite Ennis; Sandra Canon; Louise J Bordeleau
Journal:  BMC Med Genet       Date:  2008-12-22       Impact factor: 2.103

  4 in total

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