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Gene set enrichment analysis for genome-wide DNA methylation data

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, a...

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Autores principales: Maksimovic, Jovana, Oshlack, Alicia, Phipson, Belinda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186068/
https://www.ncbi.nlm.nih.gov/pubmed/34103055
http://dx.doi.org/10.1186/s13059-021-02388-x
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author Maksimovic, Jovana
Oshlack, Alicia
Phipson, Belinda
author_facet Maksimovic, Jovana
Oshlack, Alicia
Phipson, Belinda
author_sort Maksimovic, Jovana
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02388-x.
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spelling pubmed-81860682021-06-10 Gene set enrichment analysis for genome-wide DNA methylation data Maksimovic, Jovana Oshlack, Alicia Phipson, Belinda Genome Biol Method 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02388-x. BioMed Central 2021-06-08 /pmc/articles/PMC8186068/ /pubmed/34103055 http://dx.doi.org/10.1186/s13059-021-02388-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Method
Maksimovic, Jovana
Oshlack, Alicia
Phipson, Belinda
Gene set enrichment analysis for genome-wide DNA methylation data
title 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_short Gene set enrichment analysis for genome-wide DNA methylation data
title_sort gene set enrichment analysis for genome-wide dna methylation data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186068/
https://www.ncbi.nlm.nih.gov/pubmed/34103055
http://dx.doi.org/10.1186/s13059-021-02388-x
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