Molecular Epidemiology compromises the investigation of factors that may predict the response to treatment, outcome, and survival by exploring:

• design considerations in molecular epidemiology
• measurement issues in molecular epidemiology
• methods of statistical inference used in molecular epidemiology
• a specific discussion and synopsis of these methods provides concrete examples drawn from primary research in cancer.

Molecular Epidemiology presents a solid single-source foundation for conducting and interpreting molecular epidemiological studies.

Contents

1. Design Considerations in Molecular Epidemiology
2. Family-Based Study Designs
3. Trials and Interventions in Molecular Epidemiology
4. Molecular Epidemiological Designs for Prognosis
5. Biosampling Methods
6. Principles of High-Quality Genotyping
7. Biomarkers of Exposure and Effect
8. Questionnaire Assessment
9. Pharmacogenetics in Cancer Chemotherapy
10. Human Genetic Variation and It's Implication in Understanding "Race"Ethnicity and Admixture
11. Statistical Approaches to Studies of Gene-Gene and Gene-Environment Interactions
12. Novel Analytical Methods for Association Studies
13. Pathway-Based Methods in Molecular Cancer Epidemiology
14. Haplotype Association Anaylsis
15. Genomewide Association Studies
16. Validation and Confirmation of Associations
17. Models of Absolute Risk: Interpretation, Estimation, Validation, and Application
18. Reporting and Interpreting Results

Index

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