Literature DB >> 12830322

Development of NF2 gene specific, strictly sequence defined diagnostic microarray for deletion detection.

Kiran K Mantripragada1, Patrick G Buckley, Caroline Jarbo, Uwe Menzel, Jan P Dumanski.   

Abstract

Neurofibromatosis type 2 (NF2) is an autosomal dominant cancer syndrome caused by the biallelic inactivation of the neurofibromin 2 tumor suppressor gene ( NF2). Current molecular diagnostic methods for NF2 involve the detection of point mutations and/or microdeletions across the 100-kb locus from 22q12. Despite the fact that NF2 gene inactivating deletions occur in 25-30% of NF2 patients, the available approaches for high-resolution and high-throughput detection of deletions are underdeveloped. This need for improved methodology for gene copy number analysis is especially apparent when compared to a variety of methods available for accurate detection of point mutations. The microarray-based form of comparative genomic hybridization has been previously applied in the high-resolution analysis of gene copy number variation across large genomic regions. In this study we apply a PCR-based, strictly sequence-defined, repeat-free approach for the preparation of a diagnostic microarray for the detection of disease-causing deletions in the NF2 gene. The methodology is based on the preselection of target DNA by excluding redundant sequence within the NF2 locus using bioinformatics. This approach allows a significant increase in the resolution of deletion detection. The current average resolution of analysis across the NF2 locus is 23 kb. Therefore this NF2 gene-specific microarray is the first high-resolution tool for detection of diagnostically significant gene copy number aberrations. This microarray should now be applied in the analysis of an extensive series of NF2 patients, and hence we would like to call for such samples.

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Year:  2003        PMID: 12830322     DOI: 10.1007/s00109-003-0458-3

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  23 in total

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2.  Quantitative mapping of amplicon structure by array CGH identifies CYP24 as a candidate oncogene.

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  5 in total

Review 1.  Methods and strategies for analyzing copy number variation using DNA microarrays.

Authors:  Nigel P Carter
Journal:  Nat Genet       Date:  2007-07       Impact factor: 38.330

2.  Phenotypically concordant and discordant monozygotic twins display different DNA copy-number-variation profiles.

Authors:  Carl E G Bruder; Arkadiusz Piotrowski; Antoinet A C J Gijsbers; Robin Andersson; Stephen Erickson; Teresita Diaz de Ståhl; Uwe Menzel; Johanna Sandgren; Desiree von Tell; Andrzej Poplawski; Michael Crowley; Chiquito Crasto; E Christopher Partridge; Hemant Tiwari; David B Allison; Jan Komorowski; Gert-Jan B van Ommen; Dorret I Boomsma; Nancy L Pedersen; Johan T den Dunnen; Karin Wirdefeldt; Jan P Dumanski
Journal:  Am J Hum Genet       Date:  2008-02-14       Impact factor: 11.025

3.  Quantitative analysis of tumor mitochondrial RNA using microarray.

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Journal:  World J Gastroenterol       Date:  2005-01-07       Impact factor: 5.742

4.  Identification of novel deletion breakpoints bordered by segmental duplications in the NF1 locus using high resolution array-CGH.

Authors:  K K Mantripragada; A-C Thuresson; A Piotrowski; T Díaz de Ståhl; U Menzel; G Grigelionis; R E Ferner; S Griffiths; L Bolund; V Mautner; M Nordling; E Legius; D Vetrie; N Dahl; L Messiaen; M Upadhyaya; C E G Bruder; J P Dumanski
Journal:  J Med Genet       Date:  2005-06-08       Impact factor: 6.318

5.  Exon array CGH: detection of copy-number changes at the resolution of individual exons in the human genome.

Authors:  Pawandeep Dhami; Alison J Coffey; Stephen Abbs; Joris R Vermeesch; Jan P Dumanski; Karen J Woodward; Robert M Andrews; Cordelia Langford; David Vetrie
Journal:  Am J Hum Genet       Date:  2005-03-08       Impact factor: 11.025

  5 in total

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