4.8 Article

CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes

期刊

NUCLEIC ACIDS RESEARCH
卷 38, 期 1, 页码 -

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OXFORD UNIV PRESS
DOI: 10.1093/nar/gkp882

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资金

  1. National High Tech Development Project of China, the 863 Program [2007AA02Z329]
  2. National Natural Science Foundation of China [30871394, 30370798]
  3. National Basic Research Program of China, the 973 Program [2008CB517302]
  4. Natural Science Foundation of Heilongjiang Province [D2007-35]
  5. Heilongjiang Province Department of Education Outstanding Overseas Scientist [1152hq28]

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CpG islands (CGIs) are CpG-rich regions compared to CpG-depleted bulk DNA of mammalian genomes and are generally regarded as the epigenetic regulatory regions in association with unmethylation, promoter activity and histone modifications. Accurate identification of CpG islands with epigenetic regulatory function in bulk genomes is of wide interest. Here, the common features of functional CGIs are identified using an average mutual information method to differentiate functional CGIs from the remaining CGIs. A new approach (CpG mutual information, CpG_MI) was further explored to identify functional CGIs based on the cumulative mutual information of physical distances between two neighboring CpGs. Compared to current approaches, CpG_MI achieved the highest prediction accuracy. This approach also identified new functional CGIs overlapping with gene promoter regions which were missed by other algorithms. Nearly all CGIs identified by CpG_MI overlapped with histone modification marks. CpG_MI could also be used to identify potential functional CGIs in other mammalian genomes, as the CpG dinucleotide contents and cumulative mutual information distributions are almost the same among six mammalian genomes in our analysis. It is a reliable quantitative tool for the identification of functional CGIs from bulk genomes and helps in understanding the relationships between genomic functional elements and epigenomic modifications.

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