Abstract
The etiology and progression of the chronic diseases that account for the highest rates of mortality in the US, namely, cardiovascular diseases and cancers, involve complex gene x environment interactions. Yet despite the general agreement in the medical community given to this concept, there is a widespread lack of clarity as to what the term ‘interaction’ actually means. The consequence is the use of linear statistical methods to describe processes that are biologically nonlinear, resulting in clinical applications that are often not optimal. Gene x environment interactions are characterized by dynamic, nonlinear molecular networks that change and evolve over time; and by emergent properties that cannot be deduced from the characteristics of their individual subcomponents. Given the nature of these systemic properties, reductionist methods are insufficient for fully providing the information relevant to improving therapeutic outcomes. The purpose of this article is to provide an overview of these concepts and their relevance to prevention and interventions.
Highlights
The etiology and progression of the chronic diseases that account for the highest rates of mortality in the US, namely, cardiovascular diseases and cancers, involve complex gene x environment interactions
Gene x environment interactions are characterized by dynamic, nonlinear molecular networks that change and evolve over time; and by emergent properties that cannot be deduced from the characteristics of their individual subcomponents
The accumulating evidence that gene x environment interactions play a major role in chronic diseases, accounting for high rates of world-wide morbidity and mortality, has led to increasing interest in studying mechanisms of interaction related to treatment and prevention
Summary
The accumulating evidence that gene x environment interactions play a major role in chronic diseases, accounting for high rates of world-wide morbidity and mortality (e.g., cardiovascular diseases and cancers), has led to increasing interest in studying mechanisms of interaction related to treatment and prevention. Despite the lip service given to the concept that the environment interacts with genotype, the actual definition of ‘interaction’ is still medically and scientifically fuzzy. Can it have different connotations depending on whether it is being viewed from a statistical or biological perspective, but the biological mechanisms are still widely misunderstood. The purpose of this paper is to clarify some of the concepts related to gene x environment interactions in chronic diseases, especially concepts related to the little discussed but immensely important topic of nonlinear dynamics in chronic disease etiology and progression
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