Gene set enrichment analysis for genome-wide DNA methylation data

Abstract DNA methylation is one of the most commonly studied epigenetic marks, due to its role in disease and development. Illumina methylation arrays have been extensively used to measure methylation across the human genome. Methylation array analysis has primarily focused on preprocessing, normali...

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Main Authors: Jovana Maksimovic, Alicia Oshlack, Belinda Phipson
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Genome Biology
Subjects:
Online Access:https://doi.org/10.1186/s13059-021-02388-x
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spelling doaj-8b21e2a9af45434f9a81cd00204941132021-06-13T11:54:30ZengBMCGenome Biology1474-760X2021-06-0122112610.1186/s13059-021-02388-xGene set enrichment analysis for genome-wide DNA methylation dataJovana Maksimovic0Alicia Oshlack1Belinda Phipson2Peter MacCallum Cancer CentrePeter MacCallum Cancer CentrePeter MacCallum Cancer CentreAbstract DNA methylation is one of the most commonly studied epigenetic marks, due to its role in disease and development. Illumina methylation arrays have been extensively used to measure methylation across the human genome. Methylation array analysis has primarily focused on preprocessing, normalization, and identification of differentially methylated CpGs and regions. GOmeth and GOregion are new methods for performing unbiased gene set testing following differential methylation analysis. Benchmarking analyses demonstrate GOmeth outperforms other approaches, and GOregion is the first method for gene set testing of differentially methylated regions. Both methods are publicly available in the missMethyl Bioconductor R package.https://doi.org/10.1186/s13059-021-02388-xDNA methylationGene set analysisDifferential methylationStatistical analysis
collection DOAJ
language English
format Article
sources DOAJ
author Jovana Maksimovic
Alicia Oshlack
Belinda Phipson
spellingShingle Jovana Maksimovic
Alicia Oshlack
Belinda Phipson
Gene set enrichment analysis for genome-wide DNA methylation data
Genome Biology
DNA methylation
Gene set analysis
Differential methylation
Statistical analysis
author_facet Jovana Maksimovic
Alicia Oshlack
Belinda Phipson
author_sort Jovana Maksimovic
title Gene set enrichment analysis for genome-wide DNA methylation data
title_short Gene set enrichment analysis for genome-wide DNA methylation data
title_full Gene set enrichment analysis for genome-wide DNA methylation data
title_fullStr Gene set enrichment analysis for genome-wide DNA methylation data
title_full_unstemmed Gene set enrichment analysis for genome-wide DNA methylation data
title_sort gene set enrichment analysis for genome-wide dna methylation data
publisher BMC
series Genome Biology
issn 1474-760X
publishDate 2021-06-01
description Abstract DNA methylation is one of the most commonly studied epigenetic marks, due to its role in disease and development. Illumina methylation arrays have been extensively used to measure methylation across the human genome. Methylation array analysis has primarily focused on preprocessing, normalization, and identification of differentially methylated CpGs and regions. GOmeth and GOregion are new methods for performing unbiased gene set testing following differential methylation analysis. Benchmarking analyses demonstrate GOmeth outperforms other approaches, and GOregion is the first method for gene set testing of differentially methylated regions. Both methods are publicly available in the missMethyl Bioconductor R package.
topic DNA methylation
Gene set analysis
Differential methylation
Statistical analysis
url https://doi.org/10.1186/s13059-021-02388-x
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AT aliciaoshlack genesetenrichmentanalysisforgenomewidednamethylationdata
AT belindaphipson genesetenrichmentanalysisforgenomewidednamethylationdata
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