Literature DB >> 10769754

Scanning by DOVAM-S detects all unique sequence changes in blinded analyses: evidence that the scanning conditions are generic.

C H Buzin1, C Y Wen, V Q Nguyen, G Nozari, A Mengos, X Li, J S Chen, Q Liu, R A Gatti, F K Fujimura, S S Sommer.   

Abstract

The [detection of virtually all mutations]-SSCP (DOVAM-S) is a highly sensitive variant of single strand conformation polymorphism (SSCP). Mutations in the factor IX gene were used to find a set of five SSCP conditions that detects virtually all mutations. A blinded analysis of the factor IX gene in patients with hemophilia B detected 82 of 82 unique mutations. Since the method was developed and tested on the factor IX gene, it is possible that the conditions selected work more efficiently in the factor IX gene than in other genes. To test the general applicability of the conditions under which DOVAM-S detected all mutations in this gene, blinded analyses were performed in the human factor VIII and ataxia-telangiectasia (ATM) genes. Segments were amplified individually, combined into groups of 16 to 18 amplified segments and electrophoresed in five different nondenaturing conditions of varying matrices, buffers, temperatures and additives. Blinded analyses were performed in 92 samples from patients with hemophilia A (factor VIII gene) and 19 samples from A-T patients (ATM gene). Combined with an earlier blinded analysis in the factor IX gene, all of the 250 mutations and polymorphisms (180 of which are unique) were detected in both analyses. For two, three and four joint conditions, the average detection frequency ranged from 77%-97%, 91%-100% and 95%-100%, respectively. For each of the genes, one mutation may have been missed if only four conditions were used. With DOVAM-S, approximately 500 kb of autosomal sequence can be scanned in five gels with virtually 100% detection of mutations within the scanned region. The detection of 180 out of 180 unique sequence changes implies that DOVAM-S detects at least 96.5% (P = 0.03) of mutations. Blinded analyses that detect 400 unique sequence changes are required to determine that a scanning method detects at least 98.5% of mutations.

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Year:  2000        PMID: 10769754     DOI: 10.2144/00284rr04

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


  5 in total

Review 1.  The pathogenesis of ataxia-telangiectasia. Learning from a Rosetta Stone.

Authors:  R A Gatti; S Becker-Catania; H H Chun; X Sun; M Mitui; C H Lai; N Khanlou; M Babaei; R Cheng; C Clark; Y Huo; N C Udar; R K Iyer
Journal:  Clin Rev Allergy Immunol       Date:  2001-02       Impact factor: 8.667

2.  Risk factors for inhibitor formation in haemophilia: a prevalent case-control study.

Authors:  M V Ragni; O Ojeifo; J Feng; J Yan; K A Hill; S S Sommer; M N Trucco; D J Brambilla
Journal:  Haemophilia       Date:  2009-06-26       Impact factor: 4.287

3.  Microarray-based mutation detection in the dystrophin gene.

Authors:  Madhuri R Hegde; Ephrem L H Chin; Jennifer G Mulle; David T Okou; Stephen T Warren; Michael E Zwick
Journal:  Hum Mutat       Date:  2008-09       Impact factor: 4.878

4.  Three ways of combining genotyping and resequencing in case-control association studies.

Authors:  Jeffrey A Longmate; Garrett P Larson; Theodore G Krontiris; Steve S Sommer
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

5.  DNA methylation of the ABO promoter underlies loss of ABO allelic expression in a significant proportion of leukemic patients.

Authors:  Tina Bianco-Miotto; Damian J Hussey; Tanya K Day; Denise S O'Keefe; Alexander Dobrovic
Journal:  PLoS One       Date:  2009-03-10       Impact factor: 3.240

  5 in total

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