Contributors | |
Acknowledgements | |
Introduction: why molecular epidemiology? | |
Study design | |
Molecular epidemiological studies that can be nested within cohorts | |
Family studies, haplotypes and gene association studies | |
Individual susceptibility and gene-environment interaction | |
Biomarker validation | |
Exposure assessment | |
Carcinogen metabolites as biomarkers | |
Biomarkers of exposure: adducts | |
Biomarkers of mutation and DNA repair capacity | |
High-throughput techniques -genotyping and genomics | |
Proteomics and molecular epidemiology | |
Exploring the contribution of metabolic profiling to epidemiological studies | |
Univariate and multivariate data analysis (Yu-Kang Tu and Mark S. Gilthorpe | |
Meta-analysis and pooled analysis - genetic and environmental data | |
Analysis of Complex datasets | |
Some implications of random exposure measurement errors in occupational and environmental epidemiology | |
Bioinformatics | |
Biomarkers, disease mechanisms and their role in regulatory decisions | |
Biomarkers as endpoints in intervention studies | |
Biological resource centres in molecular epidemiology: collecting, storing and analysing biospecimens | |
Molecular epidemiogy and ethics: biomarkers for disease susceptibility | |
Biomarkers for dietary carcinogens: the example of heterocyclic amines in epidemiological studies | |
Practical examples: hormones | |
Aflatoxin, hepatitis B virus and liver cancer: a paradigm for molecular epidemiology | |
Complex exposures - air pollution | |
Index | |
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