Rxivist logo

dmrff: identifying differentially methylated regions efficiently with power and control

By Matthew Suderman, James R. Staley, Robert French, Ryan Arathimos, Andrew Simpkin, Kate Tilling

Posted 31 Dec 2018
bioRxiv DOI: 10.1101/508556

A differentially methylated region (DMR) is a genomic region in which DNA methylation is consistently positively or negatively associated with a phenotype or exposure. We demonstrate that existing algorithms for identifying DMRs either fail to consistently control false positive rates (comb-p and DMRcate), suffer from low power (bumphunter) or lack modeling flexibility (seqlm). We introduce a new method, dmrff, that overcomes these shortcomings and can additionally be used to meta-analyze multiple datasets. When applied to investigate associations of age in multiple datasets, dmrff identifies novel DMRs near genes previously linked to age. An R implementation is available on Github (http://github.com/perishky/dmrff).

Download data

  • Downloaded 862 times
  • Download rankings, all-time:
    • Site-wide: 13,630 out of 84,908
    • In bioinformatics: 2,160 out of 8,136
  • Year to date:
    • Site-wide: 10,418 out of 84,908
  • Since beginning of last month:
    • Site-wide: 11,859 out of 84,908

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News