Gene set enrichment analysis for genome-wide DNA methylation data

被引:0
|
作者
Jovana Maksimovic
Alicia Oshlack
Belinda Phipson
机构
[1] Peter MacCallum Cancer Centre,Department of Pediatrics
[2] University of Melbourne,School of Biosciences
[3] Murdoch Children’s Research Institute,Sir Peter MacCallum Department of Oncology
[4] University of Melbourne,undefined
[5] University of Melbourne,undefined
来源
关键词
DNA methylation; Gene set analysis; Differential methylation; Statistical analysis;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [21] Genome-wide analysis of DNA methylation in bovine placentas
    Su, Jianmin
    Wang, Yongsheng
    Xing, Xupeng
    Liu, Jun
    Zhang, Yong
    BMC GENOMICS, 2014, 15
  • [22] Genome-Wide DNA Methylation Analysis in Ankylosing Spondylitis
    Coit, Patrick
    Kaushik, Prashant
    Caplan, Liron
    Kerr, Gail S.
    Walsh, Jessica
    Dubreuil, Maureen
    Reimold, Andreas
    Sawalha, Amr H.
    ARTHRITIS & RHEUMATOLOGY, 2018, 70
  • [23] Genome-wide analysis of DNA methylation in Sezary syndrome
    Vermeer, M. H.
    Zoutman, W.
    Boonk, S.
    Tensen, K.
    Bagot, M.
    van der Fits, L.
    Goeman, J.
    Heijmans, B.
    van Doorn, R.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2014, 134 : S18 - S18
  • [24] Comparative analysis of genome-wide DNA methylation in Neurospora
    Hosseini, Sara
    Meunier, Cecile
    Nguyen, Diem
    Reimegard, Johan
    Johannesson, Hanna
    EPIGENETICS, 2020, 15 (09) : 972 - 987
  • [25] Genome-wide analysis of DNA methylation in human atherosclerosis
    Oguri, M.
    Sawabe, M.
    Horibe, H.
    Murohara, T.
    Kato, K.
    Nishida, T.
    Yamada, Y.
    EUROPEAN HEART JOURNAL, 2013, 34 : 488 - 488
  • [26] Genome-wide analysis of DNA methylation in bovine placentas
    Jianmin Su
    Yongsheng Wang
    Xupeng Xing
    Jun Liu
    Yong Zhang
    BMC Genomics, 15
  • [27] Genome-wide quantitative analysis of DNA methylation from bisulfite sequencing data
    Akman, Kemal
    Haaf, Thomas
    Gravina, Silvia
    Vijg, Jan
    Tresch, Achim
    BIOINFORMATICS, 2014, 30 (13) : 1933 - 1934
  • [28] DNA Methylation and Birth Weight: a Genome-wide Analysis
    MAO Li Li
    XIAO Xin Hua
    ZHANG Qian
    ZHENG Jia
    LI Wen Hui
    YU Miao
    ZHANG Hua Bing
    PING Fan
    XU Jian Ping
    WANG Xiao Jing
    BiomedicalandEnvironmentalSciences, 2017, 30 (09) : 667 - 670
  • [29] Genome-wide analysis of DNA methylation patterns in horse
    Lee, Ja-Rang
    Hong, Chang Pyo
    Moon, Jae-Woo
    Jung, Yi-Deun
    Kim, Dae-Soo
    Kim, Tae-Hyung
    Gim, Jeong-An
    Bae, Jin-Han
    Choi, Yuri
    Eo, Jungwoo
    Kwon, Yun-Jeong
    Song, Sanghoon
    Ko, Junsu
    Yang, Young Mok
    Lee, Hak-Kyo
    Park, Kyung-Do
    Ahn, Kung
    Do, Kyoung-Tag
    Ha, Hong-Seok
    Han, Kyudong
    Yi, Joo Mi
    Cha, Hee-Jae
    Cho, Byung-Wook
    Bhak, Jong
    Kim, Heui-Soo
    BMC GENOMICS, 2014, 15
  • [30] Genome-Wide Analysis of DNA Methylation in Hepatoblastoma Tissues
    Chen, L.
    Dong, K.
    Dong, R.
    Baihui, L.
    PEDIATRIC BLOOD & CANCER, 2016, 63 : S25 - S25