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
Genome Biology | / 22卷
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
  • [1] Gene set enrichment analysis for genome-wide DNA methylation data
    Maksimovic, Jovana
    Oshlack, Alicia
    Phipson, Belinda
    GENOME BIOLOGY, 2021, 22 (01)
  • [2] An integrated analysis of genome-wide DNA methylation and gene expression data in hepatocellular carcinoma
    Sun, Xiang-Jun
    Wang, Ming-Chun
    Zhang, Feng-Hua
    Kong, Xiao
    FEBS OPEN BIO, 2018, 8 (07): : 1093 - 1103
  • [3] Gene-set analysis is severely biased when applied to genome-wide methylation data
    Geeleher, Paul
    Hartnett, Lori
    Egan, Laurance J.
    Golden, Aaron
    Ali, Raja Affendi Raja
    Seoighe, Cathal
    BIOINFORMATICS, 2013, 29 (15) : 1851 - 1857
  • [4] Advances in genome-wide DNA methylation analysis
    Gupta, Romi
    Nagarajan, Arvindhan
    Wajapeyee, Narendra
    BIOTECHNIQUES, 2010, 49 (04) : III - XI
  • [5] Genome-Wide Analysis of DNA Methylation in Soybean
    Song, Qing-Xin
    Lu, Xiang
    Li, Qing-Tian
    Chen, Hui
    Hu, Xing-Yu
    Ma, Biao
    Zhang, Wan-Ke
    Chen, Shou-Yi
    Zhang, Jin-Song
    MOLECULAR PLANT, 2013, 6 (06) : 1961 - 1974
  • [6] GENOME-WIDE ANALYSIS OF DNA METHYLATION AND THE GENE EXPRESSION CHANGE IN LUNG CANCER
    Lee, Hae Won
    Kwon, Yong Jae
    Kang, Moon-Chul
    Baek, Heejong
    Park, Jong Ho
    JOURNAL OF THORACIC ONCOLOGY, 2011, 6 (06) : S372 - S372
  • [7] Genome-Wide Analysis of DNA Methylation and the Gene Expression Change in Lung Cancer
    Kwon, Yong-Jae
    Lee, Seog Joo
    Koh, Jae Soo
    Kim, Sung Han
    Lee, Hae Won
    Kang, Moon Chul
    Bae, Jae Bum
    Kim, Young-Joon
    Park, Jong Ho
    JOURNAL OF THORACIC ONCOLOGY, 2012, 7 (01) : 20 - 33
  • [8] Genome-wide DNA methylation analysis in Graves' disease
    Cai, Tian-tian
    Muhali, Fatuma-said
    Song, Rong-hua
    Qin, Qiu
    Wang, Xuan
    Shi, Liang-feng
    Jiang, Wen-juan
    Xiao, Ling
    Li, Dan-feng
    Zhang, Jin-an
    GENOMICS, 2015, 105 (04) : 204 - 210
  • [9] Genome-wide DNA methylation analysis in alcohol dependence
    Zhang, Ruiling
    Miao, Qin
    Wang, Chuansheng
    Zhao, Rongrong
    Li, Wenqiang
    Haile, Colin N.
    Hao, Wei
    Zhang, Xiang Yang
    ADDICTION BIOLOGY, 2013, 18 (02) : 392 - 403
  • [10] 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
    Biomedical and Environmental Sciences, 2017, 30 (09) : 667 - 670