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This article is part of the supplement: Selected articles from the IEEE International Conference on Bioinformatics and Biomedicine 2010

Open Access Proceedings

Correlating CpG islands, motifs, and sequence variants in human chromosome 21

Leah Spontaneo and Nick Cercone*

Author affiliations

Department of Computer Science and Engineering, York University Toronto, ON M3J 1P3, Canada

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Citation and License

BMC Genomics 2011, 12(Suppl 2):S10  doi:10.1186/1471-2164-12-S2-S10

Published: 27 July 2011

Abstract

Background

CpG islands are important regions in DNA. They usually appear at the 5’ end of genes containing GC-rich dinucleotides. When DNA methylation occurs, gene regulation is affected and it sometimes leads to carcinogenesis. We propose a new detection program using a hidden-markov model alongside the Viterbi algorithm.

Methods

Our solution provides a graphical user interface not seen in many of the other CGI detection programs and we unify the detection and analysis under one program to allow researchers to scan a genetic sequence, detect the significant CGIs, and analyze the sequence once the scan is complete for any noteworthy findings.

Results

Using human chromosome 21, we show that our algorithm finds a significant number of CGIs. Running an analysis on a dataset of promoters discovered that the characteristics of methylated and unmethylated CGIs are significantly different. Finally, we detected significantly different motifs between methylated and unmethylated CGI promoters using MEME and MAST.

Conclusions

Developing this new tool for the community using powerful algorithms has shown that combining analysis with CGI detection will improve the continued research within the field of epigenetics.