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Invited commentary: genes, environment, and hybrid vigor.
Marta Gwinn1, Idris Guessous, Muin J Khoury
1Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia 30341 , USA. mgwinn@cdc.gov
American Journal of Epidemiology
|August 13, 2009
Summary
Epidemiologic studies, from early smoking research to modern genetics, are crucial for understanding chronic disease risk factors. Integrating diverse data offers comprehensive insights into disease origins.
Area of Science:
- Epidemiology
- Genetics
- Toxicology
Background:
- Case-control studies in the 1950s set a standard for identifying chronic disease risk factors, exemplified by smoking and lung cancer.
- Thousands of subsequent studies have explored numerous risk factors for various diseases, though few match the strength of the smoking-lung cancer association.
- Recent advances include applying molecular genetics for candidate gene and genome-wide association studies in lung cancer research.
Purpose of the Study:
- To review the evolution of epidemiologic study designs for chronic diseases.
- To discuss the integration of genetic research with traditional epidemiologic methods.
- To highlight the value of gene-environment interaction studies.
Main Methods:
- Historical review of epidemiologic study designs.
- Analysis of molecular genetics applications in disease research.
- Examination of gene-environment interaction models.
Main Results:
- Smoking and lung cancer studies established a foundational paradigm for risk factor research.
- Genomic studies in lung cancer face skepticism regarding their added value over preventable exposures.
- Gene-environment interaction studies integrating toxicology, pathophysiology, and behavioral science provide robust models.
Conclusions:
- Well-designed gene-environment interaction studies are essential for a comprehensive understanding of chronic disease etiology.
- Integrating diverse scientific data enhances the approach to studying complex diseases.
- Despite advances, understanding disease origins requires multifaceted research strategies.
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