Molecular Epidemiology of Chronic Diseases crosses the disciplinary boundaries between laboratory scientists, epidemiologists, clinical researchers and biostatisticians, and is accessible to all these relevant research communities in focusing on practical issues of application, rather than reviews of current areas of research.
- Covers categories of biomarkers of exposure, susceptibility and disease
- Includes chapters on novel technologies: genomics, transcriptomics, proteomics and metabonomics, which are increasingly finding application in population studies
- Emphasizes new statistical and bioinformatics approaches necessitated by the large data sets generated using these new methodologies
- Demonstrates the potential applications of laboratory techniques in tackling epidemiological problems while considering their limitations, including the sources of uncertainty and inaccuracy
- Issues such as reliability (compared to traditional epidemiological methods) and the timing of exposure are discussed
- Practical elements of conducting population studies, including biological repositories and ethics, are explored
Molecular Epidemiology of Chronic Diseases provides an easy–to–use, clearly presented handbook that allows epidemiologists to understand the specifics of research involving biomarkers,and laboratory scientist to understand the main issues of epidemiological study design and analysis. it also provides a useful tool for courses on molecular epidemiology using many examples from population studies to illustrate key concepts and principles.
1. Introduction: why molecular epidemiology? (Chris Wild, Seymour Garte and Paolo Vineis).
2. Study design (Paolo Vineis).
3. Molecular epidemiological studies that can be nested within cohorts (Andrew Rundle and Habibul Ahsan).
4. Family studies, haplotypes and gene association studies (Jennifer H. Barrett, D. Timothy Bishop and Mark M. Iles).
5. Individual susceptibility and gene–environment interaction (Seymour Garte).
6. Biomarker validation (Paolo Vineis and Seymour Garte).
7. Exposure assessment (Mark J. Nieuwenhuijsen).
8. Carcinogen metabolites as biomarkers (Stephen S. Hecht).
9. Biomarkers of exposure: adducts (David H. Phillips).
10. Biomarkers of mutation and DNA repair capacity (Marianne Berwick and Richard J. Albertini).
11. High–throughput techniques –genotyping and genomics (Alison M. Dunning and Craig Luccarini).
12. Proteomics and molecular epidemiology (Jeff N. Keen and John B.C. Findlay).
13. Exploring the contribution of metabolic profiling to epidemiological studies (M. Bictash, Elaine Holmes, H. Keun, P. Elliott and J. K. Nicholson).
14. Univariate and multivariate data analysis (Yu–Kang Tu and Mark S. Gilthorpe).
15. Meta–analysis and pooled analysis – genetic and environmental data (Camille Ragin and Emanuela Taioli).
16. Analysis of Complex datasets (Jason H. Moore, Margaret R. Karagas and Angeline S. Andrew).
17. Some implications of random exposure measurement errors in occupational and environmental epidemiology (S. M. Rappaport and L . L. Kupper).
18. Bioinformatics (Jason H. Moore).
19. Biomarkers, disease mechanisms and their role in regulatory decisions (Pier Alberto Bertazzi and Antonio Mutti).
20. Biomarkers as endpoints in intervention studies (Lynnette R. Ferguson).
21. Biological resource centres in molecular epidemiology: collecting, storing and analysing biospecimens (Elodie Caboux, Pierre Hainaut and Emmanuelle Gormally).
22. Molecular epidemiogy and ethics: biomarkers for disease susceptibility (Kirsi Vähäkangas).
23. Biomarkers for dietary carcinogens: the example of heterocyclic amines in epidemiological studies (Rashmi Sinha, Amanda Cross and Robert J. Turesky).
24. Practical examples: hormones (Sabina Rinaldi and Rudolf Kaaks).
25. Aflatoxin, hepatitis B virus and liver cancer: a paradigm for molecular epidemiology (John D. Gropman,Thomas. W. Kensler and Chris Wild).
26. Complex exposures – air pollution (Steffen Loft, Elvira Vaclavik Brauner, Lykke Forchhammer, Marie Pedersen, Lisbeth E. Knudsen and Peter Moller).