Molecular Epidemiology

<p>This volume comprises the investigation of factors that may predict the response to treatment outcome and survival by exploring:</p><p>• design considerations in molecular epidemiology including:</p><ul> <li>case-only</li> <li>family-based</li> <li>approaches for evaluation of genetic susceptibility to exposure and addiction pharmacogenetics</li> <li>incorporation of biomarkers in clinical trials</li> </ul><p>• measurement issues in molecular epidemiology including</p><ul> <li>DNA biosampling methods</li> <li>principles for high-quality genotyping</li> <li>haplotypes</li> <li>biomarkers of exposure and effect</li> <li>exposure assessment</li> </ul><p>• methods of statistical inference used in molecular epidemiology including</p><ul> <li>gene-gene and gene-environment interaction analysis</li> <li>novel high-dimensional analysis approaches</li> <li>pathway-based analysis methods</li> <li>haplotype methods dealing with race and ethnicity</li> <li>risk models</li> <li>a discussion of reporting and interpreting results</li> </ul><p>• A specific discussion and synopsis of these methods provides concrete examples drawn from primary research in cancer</p><p>Covering design considerations measurement issues and methods of statistical inference and filled with scientific tables equations and pictures <strong><em>Molecular Epidemiology: Applications in Cancer and Other Human Diseases</em></strong> presents a solid single-source foundation for conducting and interpreting molecular epidemiological studies.</p>