Literature DB >> 26982617

Differential methylation tests of regulatory regions.

Duchwan Ryu, Hongyan Xu, Varghese George, Shaoyong Su, Xiaoling Wang, Huidong Shi, Robert H Podolsky.   

Abstract

Differential methylation of regulatory elements is critical in epigenetic researches and can be statistically tested. We developed a new statistical test, the generalized integrated functional test (GIFT), that tests for regional differences in methylation based on the methylation percent at each CpG site within a genomic region. The GIFT uses estimated subject-specific profiles with smoothing methods, specifically wavelet smoothing, and calculates an ANOVA-like test to compare the average profile of groups. In this way, possibly correlated CpG sites within the regulatory region are compared all together. Simulations and analyses of data obtained from patients with chronic lymphocytic leukemia indicate that GIFT has good statistical properties and is able to identify promising genomic regions. Further, GIFT is likely to work with multiple different types of experiments since different smoothing methods can be used to estimate the profiles of data without noise. Matlab code for GIFT and sample data are available at http://www.augusta.edu/mcg/biostatepi/people/software/gift.html.

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Year:  2016        PMID: 26982617     DOI: 10.1515/sagmb-2015-0037

Source DB:  PubMed          Journal:  Stat Appl Genet Mol Biol        ISSN: 1544-6115


  2 in total

1.  Testing differentially methylated regions through functional principal component analysis.

Authors:  Mohamed Milad; Gayla R Olbricht
Journal:  J Appl Stat       Date:  2021-01-30       Impact factor: 1.416

2.  Computational Methods for Detection of Differentially Methylated Regions Using Kernel Distance and Scan Statistics.

Authors:  Faith Dunbar; Hongyan Xu; Duchwan Ryu; Santu Ghosh; Huidong Shi; Varghese George
Journal:  Genes (Basel)       Date:  2019-04-12       Impact factor: 4.096

  2 in total

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