ArticleEMBO molecular medicine2023
Deconvoluting gene and environment interactions to develop an "epigenetic score meter" of disease.
Article in EMBO molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Gaining insights into epigenetic memories through artificial intelligence and omics science in plants.Journal of integrative plant biology · 2025Review
- Interplay between genes and social environment: from epigenetics to precision medicine.Cell death discovery · 2025Article
- Decoding p53 tumor suppression: a crosstalk between genomic stability and epigenetic control?Cell death and differentiation · 2025Article
- Impact of the environmental pollution on cardiovascular diseases: From epidemiological to molecular evidence.Heliyon · 2024Review
- Article
- Deconvoluting gene and environment interactions to develop an "epigenetic score meter" of disease.EMBO molecular medicine · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
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.
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Registered trials
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