GeneScreen: a program for high-throughput mutation detection in DNA sequence electropherograms. Issue 2 (30th October 2010)

• Record Type: Journal Article
• Authors: Carr, Ian M; Camm, Nick; Taylor, Graham R; Charlton, Ruth; Ellard, Sian; Sheridan, Eamonn G; Markham, Alexander F; Bonthron, David T
• Is Part Of: Journal of medical genetics. Volume 48:Issue 2(2011)
• Page Start: 123
• Page End: 130
• Publication Date: 2010-10-30
• Subjects: Mutation detection -- software -- DNA sequencing -- diagnostics -- genetics -- genetic screening/counselling -- molecular genetics; Medical genetics -- Periodicals; 616.042
• DOI: 10.1136/jmg.2010.082081
• Languages: English
• ISSNs: 1468-6244

Abstract

Abstract : Background: While massively parallel DNA sequencing methods continue to evolve rapidly, the benchmark technique for detection and verification of rare (particularly disease-causing) sequence variants remains four-colour dye-terminator sequencing by capillary electrophoresis. The high throughput and long read lengths currently available have shifted the bottleneck in mutation detection away from data generation to data analysis. While excellent computational methods have been developed for quantifying sequence accuracy and detecting variants, either during de novo sequence assembly or for single-nucleotide polymorphism detection, the identification, verification and annotation of very rare sequence variants remains a rather labour-intensive process for which few software aids exist. Aim: To provide a freely available, intuitive software application for highly efficient mutation screening of large sequence batches. Methods and results: The authors developed GeneScreen, a desktop program that analyses capillary electropherograms and compares their sequences with a known reference for identification of mutations. The detected sequence variants are then made available for rapid assessment and annotation via a graphical user interface, allowing chosen variants to be exported for reporting and archiving. The program was validated using more than 16 000 diagnostic laboratory sequence traces. Conclusion: Using GeneScreen, a single user requires only a few minutes to identify rare mutations in hundreds of sequence traces, with comparable sensitivity to expensive commercial products.