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Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease
Human health is determined both by genetics (G) and environment (E). This is clearly illustrated in groups of individuals who are exposed to the same environmental factor showing differential responses. A quantitative measure of the gene–environment interactions (GxE) effects has not been developed...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493573/ https://www.ncbi.nlm.nih.gov/pubmed/37538003 http://dx.doi.org/10.15252/emmm.202318208 |
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author | Butera, Alessio Smirnova, Lena Ferrando‐May, Elisa Hartung, Thomas Brunner, Thomas Leist, Marcel Amelio, Ivano |
author_facet | Butera, Alessio Smirnova, Lena Ferrando‐May, Elisa Hartung, Thomas Brunner, Thomas Leist, Marcel Amelio, Ivano |
author_sort | Butera, Alessio |
collection | PubMed |
description | Human health is determined both by genetics (G) and environment (E). This is clearly illustrated in groups of individuals who are exposed to the same environmental factor showing differential responses. A quantitative measure of the gene–environment interactions (GxE) effects has not been developed and in some instances, a clear consensus on the concept has not even been reached; for example, whether cancer is predominantly emerging from “bad luck” or “bad lifestyle” is still debated. In this article, we provide a panel of examples of GxE interaction as drivers of pathogenesis. We highlight how epigenetic regulations can represent a common connecting aspect of the molecular bases. Our argument converges on the concept that the GxE is recorded in the cellular epigenome, which might represent the key to deconvolute these multidimensional intricated layers of regulation. Developing a key to decode this epigenetic information would provide quantitative measures of disease risk. Analogously to the epigenetic clock introduced to estimate biological age, we provocatively propose the theoretical concept of an “epigenetic score‐meter” to estimate disease risk. |
format | Online Article Text |
id | pubmed-10493573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104935732023-09-12 Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease Butera, Alessio Smirnova, Lena Ferrando‐May, Elisa Hartung, Thomas Brunner, Thomas Leist, Marcel Amelio, Ivano EMBO Mol Med Commentary Human health is determined both by genetics (G) and environment (E). This is clearly illustrated in groups of individuals who are exposed to the same environmental factor showing differential responses. A quantitative measure of the gene–environment interactions (GxE) effects has not been developed and in some instances, a clear consensus on the concept has not even been reached; for example, whether cancer is predominantly emerging from “bad luck” or “bad lifestyle” is still debated. In this article, we provide a panel of examples of GxE interaction as drivers of pathogenesis. We highlight how epigenetic regulations can represent a common connecting aspect of the molecular bases. Our argument converges on the concept that the GxE is recorded in the cellular epigenome, which might represent the key to deconvolute these multidimensional intricated layers of regulation. Developing a key to decode this epigenetic information would provide quantitative measures of disease risk. Analogously to the epigenetic clock introduced to estimate biological age, we provocatively propose the theoretical concept of an “epigenetic score‐meter” to estimate disease risk. John Wiley and Sons Inc. 2023-08-04 /pmc/articles/PMC10493573/ /pubmed/37538003 http://dx.doi.org/10.15252/emmm.202318208 Text en © 2023 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary Butera, Alessio Smirnova, Lena Ferrando‐May, Elisa Hartung, Thomas Brunner, Thomas Leist, Marcel Amelio, Ivano Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
title | Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
title_full | Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
title_fullStr | Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
title_full_unstemmed | Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
title_short | Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
title_sort | deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493573/ https://www.ncbi.nlm.nih.gov/pubmed/37538003 http://dx.doi.org/10.15252/emmm.202318208 |
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