Disrupted human-pathogen co-evolution: a model for disease
Nuri Kodaman1, Rafal S Sobota1, Robertino Mera2
1Department of Genetics, Geisel School of Medicine, Dartmouth College Hanover, NH, USA ; Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University Medical Center Nashville, TN, USA.
Abstract:
A major goal in infectious disease research is to identify the human and pathogenic genetic variants that explain differences in microbial pathogenesis. However, neither pathogenic strain nor human genetic variation in isolation has proven adequate to explain the heterogeneity of disease pathology. We suggest that disrupted co-evolution between a pathogen and its human host can explain variation in disease outcomes, and that genome-by-genome interactions should therefore be incorporated into genetic models of disease caused by infectious agents. Genetic epidemiological studies that fail to take both the pathogen and host into account can lead to false and misleading conclusions about disease etiology. We discuss our model in the context of three pathogens, Helicobacter pylori, Mycobacterium tuberculosis and human papillomavirus, and generalize the conditions under which it may be applicable.
Insights
Disrupted co-evolution between pathogens and hosts, not just individual genetic variations, explains infectious disease outcomes. Incorporating genome-by-genome interactions is crucial for accurate disease etiology research.
Area of Science:
- Infectious disease research
- Genetics
- Evolutionary biology
Background:
- Identifying human and pathogen genetic variants is key to understanding microbial pathogenesis.
- Neither host nor pathogen genetic variation alone adequately explains disease heterogeneity.
Purpose of the Study:
- To propose a model where disrupted co-evolution between pathogen and host explains variations in infectious disease outcomes.
- To emphasize the importance of genome-by-genome interactions in genetic models of infectious diseases.
Main Methods:
- Conceptual model development.
- Discussion of the model in the context of Helicobacter pylori, Mycobacterium tuberculosis, and human papillomavirus.
Main Results:
- Genetic epidemiological studies must consider both pathogen and host factors to avoid misleading conclusions.
- Disrupted co-evolution offers a framework for understanding disease etiology variation.
Conclusions:
- Incorporating genome-by-genome interactions into genetic models is essential for accurate infectious disease research.
- The proposed model provides a generalized approach applicable to various infectious agents.
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