Gene Expression and Its Discontents [electronic resource] : The Social Production of Chronic Disease /
Wallace, Rodrick.author.
Wallace, Deborah.author.
This book describes how epigenetic context, in a large sense, affects gene expression and the development of an organism, using the asymptotic limit theorems of information theory to construct statistical models useful in data analysis. The approach allows deep understanding of how embedding context affects development. We find that epigenetic information sources act as tunable catalysts, directing ontogeny into characteristic pathways, a perspective having important implications for epigenetic epidemiology. In sum, environmental stressors can induce a broad spectrum of developmental dysfunctions, and the book explores a number of pandemic chronic diseases, using U.S. data at different scales and levels of organization. In particular, we find the legacy of slavery has been grossly compounded by accelerating industrial decline and urban decay. Individual chapters are dedicated to obesity and its sequelae, coronary heart disease, cancer, mental disorders, autoimmune dysfunction, Alzheimer's disease, and other conditions. Developmental disorders are driven by environmental factors channeled by historical trajectory and are unlikely to respond to medical interventions at the population level in the face of persistent individual and community stress. Drugs powerful enough to affect deleterious epigenetic programming will likely have side effects leading to shortened lifespan. Addressing chronic conditions and developmental disorders requires significant large-scale changes in public policy and resource allocation.
Includes bibliographical references and index.
Introduction -- 1. Toward new tools -- 2. Models of development -- 3. Groupoid symmetries -- 4. Epigenetic catalysis -- 5. Developmental disorders -- 6. An interim perspective -- 7. The obesity pandemic in the US -- 8. Coronary heart disease in the US. - 9. Cancer: a developmental perspective -- 10. Autoimmune disorders -- 11. Demoralization and obesity in Upper Manhattan -- 12. Death at an early age: AIDS and related mortality in New York City -- 13. Mental Disorders I: Western atomism and its culture-bound syndromes -- 14. Mental Disorders II: Psychopathology and sleep -- 15. Diabetes and Thyroid Cancer in Manhattan's Chinatown -- 16. Right-To-Work Laws and Alzheimer's Disease -- 17. Stress as an Environmental Exposure -- 18. Final Thoughts -- 19. Mathematical Appendix.
This book describes how epigenetic context, in a large sense, affects gene expression and the development of an organism, using the asymptotic limit theorems of information theory to construct statistical models useful in data analysis. The approach allows deep understanding of how embedding context affects development. We find that epigenetic information sources act as tunable catalysts, directing ontogeny into characteristic pathways, a perspective having important implications for epigenetic epidemiology. In sum, environmental stressors can induce a broad spectrum of developmental dysfunctions, and the book explores a number of pandemic chronic diseases, using U.S. data at different scales and levels of organization. In particular, we find the legacy of slavery has been grossly compounded by accelerating industrial decline and urban decay. Individual chapters are dedicated to obesity and its sequelae, coronary heart disease, cancer, mental disorders, autoimmune dysfunction, Alzheimer's disease, and other conditions. Developmental disorders are driven by environmental factors channeled by historical trajectory and are unlikely to respond to medical interventions at the population level in the face of persistent individual and community stress. Drugs powerful enough to affect deleterious epigenetic programming will likely have side effects leading to shortened lifespan. Addressing chronic conditions and developmental disorders requires significant large-scale changes in public policy and resource allocation.
Human genetics.
Epidemiology.
Biochemistry.
Bioinformatics.
Public health.
Human Genetics.
Epidemiology.
Biochemistry, general.
Computational Biology/Bioinformatics.
Public Health.