Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Butera, Alessio, Smirnova, Lena, Ferrando‐May, Elisa, Hartung, Thomas, Brunner, Thomas, Leist, Marcel, Amelio, Ivano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
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
_version_ 1785104505394692096
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
work_keys_str_mv AT buteraalessio deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease
AT smirnovalena deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease
AT ferrandomayelisa deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease
AT hartungthomas deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease
AT brunnerthomas deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease
AT leistmarcel deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease
AT amelioivano deconvolutinggeneandenvironmentinteractionstodevelopanepigeneticscoremeterofdisease