Literature DB >> 19277572

Application of SNP genotype arrays to determine somatic changes in cancer.

Manu Gupta1, Bryan D Young.   

Abstract

Genetic abnormalities in leukaemia range from single gene defects to chromosomal translocations, inversions, losses and gains. While conventional technologies can detect macroscopic abnormalities, finding smaller regions remained a challenge until the recent introduction of high-resolution genomic platforms. Microarrays based on single nucleotide polymorphisms is one such technology. It has made possible genome-wide allelic association studies of predisposition to common clinical problems. This approach is also being used to identify somatic changes in cancer, such as loss, gain and copy-neutral loss of heterozygosity (CN-LOH), which are below the level of detection by conventional systems. Such arrays have been used to identify key genes involved in paediatric acute lymphoblastic leukaemia. We have used these arrays to identify regions of CN-LOH on a genome-wide scale in a large series of acute myeloid leukaemia samples, which so far has not been possible through any other technology.

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Year:  2009        PMID: 19277572     DOI: 10.1007/978-1-59745-418-6_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Genetic technologies in cancer investigation - applications in aggresive lymphoid malignancies.

Authors:  Nicoleta Mariana Berbec; Aurora Arghir; Anca Vitcu; Silvana Angelescu; Andrei Colita Amd; Anca Ciobanu; Sorina Mihaela Papuc; Andreea-Cristina Tutlan-Cunita; Anca Roxana Lupu
Journal:  Maedica (Buchar)       Date:  2012-01

2.  Evolutionary trajectories of hyperdiploid ALL in monozygotic twins.

Authors:  C M Bateman; D Alpar; A M Ford; S M Colman; D Wren; M Morgan; L Kearney; M Greaves
Journal:  Leukemia       Date:  2014-06-04       Impact factor: 11.528

Review 3.  Copy neutral loss of heterozygosity: a novel chromosomal lesion in myeloid malignancies.

Authors:  Christine O'Keefe; Michael A McDevitt; Jaroslaw P Maciejewski
Journal:  Blood       Date:  2010-01-27       Impact factor: 22.113

  3 in total

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