Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/8077
Title: Comparative (computational) analysis of the DNA methylation status of trinucleotide repeat expansion diseases
Authors: Ghorbani, M
Taylor, SJE
Pook, MA
Payne, A
Keywords: DNA methylation;Trinucleotide repeat diseases;Fragile X syndrome;Myotonic dystrophy type I;Friedreich’s ataxia
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Citation: Journal of Nucleic Acids, Vol 2013, Article number 689798, 2013
Abstract: Previous studies have examined DNA methylation in different trinucleotide repeat diseases. We have combined this data and used a pattern searching algorithm to identify motifs in the DNA surrounding aberrantly methylated CpGs found in the DNA of patients with one of the three trinucleotide repeat (TNR) expansion diseases: fragile X syndrome (FRAXA), myotonic dystrophy type I (DM1), or Friedreich’s ataxia (FRDA). We examined sequences surrounding both the variably methylated (VM) CpGs, which are hypermethylated in patients compared with unaffected controls, and the nonvariably methylated CpGs which remain either always methylated (AM) or never methylated (NM) in both patients and controls. Using the J48 algorithm of WEKA analysis, we identified that two patterns are all that is necessary to classify our three regions CCGG* which is found in VM and not in AM regions and AATT* which distinguished between NM and VM + AM using proportional frequency. Furthermore, comparing our software with MEME software, we have demonstrated that our software identifies more patterns than MEME in these short DNA sequences. Thus, we present evidence that the DNA sequence surrounding CpG can influence its susceptibility to be de novo methylated in a disease state associated with a trinucleotide repeat.
Description: Copyright © 2013 Mohammadmersad Ghorbani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article has been made available through the Brunel Open Access Publishing Fund.
URI: http://www.hindawi.com/journals/jna/2013/689798/
http://bura.brunel.ac.uk/handle/2438/8077
DOI: http://dx.doi.org/10.1155/2013/689798
ISSN: 2090-0201
Appears in Collections:Publications
Computer Science
Brunel OA Publishing Fund
Dept of Computer Science Research Papers

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