Literature DB >> 10480358

A comparison of BRCA1 mutation analysis by direct sequencing, SSCP and DHPLC.

E Gross1, N Arnold, J Goette, U Schwarz-Boeger, M Kiechle.   

Abstract

The most sensitive screening technique for genes that predispose patients for particular cancers is direct sequencing. However, sequencing of complex genes is technically demanding, costly and time-consuming. We have tested alternate screening techniques to find a fast sensitive method for detecting alterations of DNA in the large BRCA1 gene prior to sequencing. Sequencing of this gene is particularly arduous because it lacks clearly defined mutation sites. The single-strand conformation polymorphism (SSCP) technique is one of the most frequently used pre-screening methods but its sensitivity and efficiency is not completely satisfying. We have compared the SSCP assay with a newly developed technique called denaturing high performance liquid chromatography (DHPLC) to screen the BRCAl gene. We studied 23 patients at high risk for early onset breast and ovarian cancer and four controls. In these patients, a total of 113 fragments with sequence variations in the BRCA1 gene could be identified. The DHPLC technique resolved 100% of the DNA alterations that were observed in cycle sequencing. In contrast, mutation analysis by SSCP accounted for 94% of the detected variations. In addition, DHPLC screening allowed us to discriminate between different alterations in a single fragment, because of the characteristic elution profiles of the DNA molecules. Polymorphisms that were present in our samples could be predicted by means of DHPLC testing independently of sequence analysis. We conclude that DHPLC is a highly potent screening method for genetic analyses. It is highly sensitive, efficient and economical and can be automated.

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Year:  1999        PMID: 10480358     DOI: 10.1007/s004399900092

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  34 in total

1.  Rapid detection of deletion, insertion, and substitution mutations via heteroduplex analysis using capillary- and microchip-based electrophoresis.

Authors:  H Tian; L C Brody; J P Landers
Journal:  Genome Res       Date:  2000-09       Impact factor: 9.043

2.  Polymorphisms within a polymorphism: SNPs in and around a polymorphic Alu insertion in intron 44 of the human dystrophin gene.

Authors:  Alan D Lovell; Vania Yotova; Fengxia Xiao; Mark A Batzer; Damian Labuda
Journal:  J Hum Genet       Date:  2004       Impact factor: 3.172

3.  Denaturing high performance liquid chromatography: high throughput mutation screening in familial hypertrophic cardiomyopathy and SNP genotyping in motor neurone disease.

Authors:  B Yu; N A Sawyer; M Caramins; Z G Yuan; R B Saunderson; R Pamphlett; D R Richmond; R W Jeremy; R J Trent
Journal:  J Clin Pathol       Date:  2005-05       Impact factor: 3.411

4.  No association between the polymorphisms in CDX2 coding regions and colorectal cancer in Chinese.

Authors:  Xiaoping Xia; Enping Xu; Sheng Quan; Qiong Huang; Maode Lai
Journal:  Mol Cell Biochem       Date:  2009-05-07       Impact factor: 3.396

5.  Somatic mutation analysis of p53 and ST7 tumor suppressor genes in gastric carcinoma by DHPLC.

Authors:  Chong Lu; Hui-Mian Xu; Qun Ren; Yang Ao; Zhen-Ning Wang; Xue Ao; Li Jiang; Yang Luo; Xue Zhang
Journal:  World J Gastroenterol       Date:  2003-12       Impact factor: 5.742

Review 6.  Natural and artificial mutants as valuable resources for functional genomics and molecular breeding.

Authors:  Shu-Ye Jiang; Srinivasan Ramachandran
Journal:  Int J Biol Sci       Date:  2010-04-28       Impact factor: 6.580

7.  Association of growth/differentiation factor 1 gene polymorphisms with the risk of congenital heart disease in the Chinese Han population.

Authors:  Xiaowei Sun; Ying Meng; Tao You; Peiqiang Li; Hua Wu; Ming Yu; Xiaodong Xie
Journal:  Mol Biol Rep       Date:  2012-10-18       Impact factor: 2.316

8.  Simultaneous mutation detection of three homoeologous genes in wheat by High Resolution Melting analysis and Mutation Surveyor.

Authors:  Chongmei Dong; Kate Vincent; Peter Sharp
Journal:  BMC Plant Biol       Date:  2009-12-04       Impact factor: 4.215

9.  Rapid detection of allelic losses in brain tumours using microsatellite repeat markers and high-performance liquid chromatography.

Authors:  O B Chernova; G H Barnett; J K Cowell
Journal:  Br J Cancer       Date:  2003-06-16       Impact factor: 7.640

10.  DNA and RNA analyses in detection of genetic predisposition to cancer.

Authors:  Joanna Matyjasik; Bartlomiej Masojc; Grzegorz Kurzawski
Journal:  Hered Cancer Clin Pract       Date:  2008-06-15       Impact factor: 2.857

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