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Phenotypic plasticity and the epigenetics of human disease

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  • Andrew P. Feinberg

    (Institute for Basic Biomedical Sciences, Johns Hopkins University School of Medicine)

Abstract

It is becoming clear that epigenetic changes are involved in human disease as well as during normal development. A unifying theme of disease epigenetics is defects in phenotypic plasticity — cells' ability to change their behaviour in response to internal or external environmental cues. This model proposes that hereditary disorders of the epigenetic apparatus lead to developmental defects, that cancer epigenetics involves disruption of the stem-cell programme, and that common diseases with late-onset phenotypes involve interactions between the epigenome, the genome and the environment. Increased understanding of epigenetic-disease mechanisms could lead to disease-risk stratification for targeted intervention and to targeted therapies.

Suggested Citation

  • Andrew P. Feinberg, 2007. "Phenotypic plasticity and the epigenetics of human disease," Nature, Nature, vol. 447(7143), pages 433-440, May.
  • Handle: RePEc:nat:nature:v:447:y:2007:i:7143:d:10.1038_nature05919
    DOI: 10.1038/nature05919
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    Cited by:

    1. Michelle Kelly-Irving & Laurence Mabile & Pascale Grosclaude & Thierry Lang & Cyrille Delpierre, 2013. "The embodiment of adverse childhood experiences and cancer development: potential biological mechanisms and pathways across the life course," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(1), pages 3-11, February.
    2. Jie Liu & Xuehua Zhong, 2024. "Epiallelic variation of non-coding RNA genes and their phenotypic consequences," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Steffan D Bos & Christian M Page & Bettina K Andreassen & Emon Elboudwarej & Marte W Gustavsen & Farren Briggs & Hong Quach & Ingvild S Leikfoss & Anja Bjølgerud & Tone Berge & Hanne F Harbo & Lisa F , 2015. "Genome-Wide DNA Methylation Profiles Indicate CD8+ T Cell Hypermethylation in Multiple Sclerosis," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
    4. Toyokawa, Satoshi & Uddin, Monica & Koenen, Karestan C. & Galea, Sandro, 2012. "How does the social environment ‘get into the mind’? Epigenetics at the intersection of social and psychiatric epidemiology," Social Science & Medicine, Elsevier, vol. 74(1), pages 67-74.
    5. Kaiqiong Zhao & Karim Oualkacha & Lajmi Lakhal‐Chaieb & Aurélie Labbe & Kathleen Klein & Antonio Ciampi & Marie Hudson & Inés Colmegna & Tomi Pastinen & Tieyuan Zhang & Denise Daley & Celia M.T. Green, 2021. "A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation," Biometrics, The International Biometric Society, vol. 77(2), pages 424-438, June.
    6. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    7. Arwa Bin Raies & Hicham Mansour & Roberto Incitti & Vladimir B Bajic, 2013. "Combining Position Weight Matrices and Document-Term Matrix for Efficient Extraction of Associations of Methylated Genes and Diseases from Free Text," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.

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