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Study Description

We describe methclone, a novel method to identify epigenetic loci that harbor large changes in the clonality of their epialleles (epigenetic alleles). Methclone efficiently analyzes genome-wide DNA methylation sequencing data. We quantify the changes using a composition entropy difference calculation and also introduce a new measure of global clonality shift, loci with epiallele shift per million loci covered, which enables comparisons between different samples to gauge overall epiallelic dynamics. Finally, we demonstrate the utility of methclone in capturing functional epiallele shifts in leukemia patients from diagnosis to relapse. Methclone is open-source and freely available at https://code.google.com/p/methclone. Reprinted with permission from BMC Publishing (Genome Biology).

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Publicly Available Data (Public ftp)
Study Inclusion/Exclusion Criteria

Those samples where a biological specimen was available at diagnosis and relapse (D vs. R), to enable paired-comparisons, were used.

Molecular Data
TypeSourcePlatformNumber of Oligos/SNPsSNP Batch IdComment
Enhanced Reduced Representation Bisulfite Sequencing Zymo Research EZ DNA Methylation Kit N/A N/A
Selected Publications
Diseases/Traits Related to Study (MeSH terms)
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Study Attribution
  • Principal Investigators
    • Christopher Mason. Weill Cornell Medical College, Cornell University, New York, NY, USA.
    • Ari Melnick. Weill Cornell Medical College, Cornell University, New York, NY, USA.
  • Funding Source
    • R01HG006798. National Institutes of Health, Bethesda, MD, USA.