"e;I think this is an excellent book I recommend it to anyone involved in molecular epidemiology... The 26 chapters are written by topic specialists, in an explanatory, east to read style."e; BTS Newsletter, Summer 2009 "e;This text provides an accessible and useful handbook for the epidemiologist who wants to survey the field, to become better informed, to look at recent developments and get some background on these or simply to appreciate further the relatively rapid changes in informatic and analytical technologies which increasingly will serve and underpin future epidemiological studies. One of the strengths in this book is the extensive array of practical illustrative examples, and it would also in my opinion have useful potential as a teaching text."e; American Journal of Human Biology, March 2009 With the sequencing of the human genome and the mapping of millions of single nucleotide polymorphisms, epidemiology has moved into the molecular domain. Scientists can now use molecular markers to track disease-associated genes in populations, enabling them to study complex chronic diseases that might result from the weak interactions of many genes with the environment. Use of these laboratory generated biomarker data and an understanding of disease mechanisms are increasingly important in elucidating disease aetiology. Molecular Epidemiology of Disease 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 Discusses issues such as reliability (compared to traditional epidemiological methods) and the timing of exposure Explores practical elements of conducting population studies, including biological repositories and ethics Molecular Epidemiology of Disease provides an easy-to-use, clearly presented handbook that allows epidemiologists to understand the specifics of research involving biomarkers, and laboratory scientists 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.

"I think this is an excellent book-I recommend itto anyone involved in molecular epidemiology... The 26 chapters arewritten by topic specialists, in an explanatory, east to readstyle." -BTS Newsletter, Summer 2009"This text provides an accessible and useful handbook for theepidemiologist who wants to survey the field, to become betterinformed, to look at recent developments and get some background onthese or simply to appreciate further the relatively rapid changesin informatic and analytical technologies which increasingly willserve and underpin future epidemiological studies. One of thestrengths in this book is the extensive array of practicalillustrative examples, and it would also in my opinion have usefulpotential as a teaching text." -American Journal of HumanBiology, March 2009With the sequencing of the human genome and the mapping of millionsof single nucleotide polymorphisms, epidemiology has moved into themolecular domain. Scientists can now use molecular markers to trackdisease-associated genes in populations, enabling them to studycomplex chronic diseases that might result from the weakinteractions of many genes with the environment. Use of theselaboratory generated biomarker data and an understanding of diseasemechanisms are increasingly important in elucidating diseaseaetiology.Molecular Epidemiology of Disease crosses thedisciplinary boundaries between laboratory scientistsepidemiologists, clinical researchers and biostatisticians and isaccessible to all these relevant research communities in focusingon practical issues of application, rather than reviews of currentareas of research.* Covers categories of biomarkers of exposure, susceptibility anddisease* Includes chapters on novel technologies: genomicstranscriptomics, proteomics and metabonomics, which areincreasingly finding application in population studies* Emphasizes new statistical and bioinformatics approachesnecessitated by the large data sets generated using these newmethodologies* Demonstrates the potential applications of laboratorytechniques in tackling epidemiological problems while consideringtheir limitations, including the sources of uncertainty andinaccuracy* Discusses issues such as reliability (compared to traditionalepidemiological methods) and the timing of exposure* Explores practical elements of conducting population studiesincluding biological repositories and ethicsMolecular Epidemiology of Disease provides aneasy-to-use, clearly presented handbook that allows epidemiologiststo understand the specifics of research involving biomarkers, andlaboratory scientists to understand the main issues ofepidemiological study design and analysis. It also provides auseful tool for courses on molecular epidemiology, using manyexamples from population studies to illustrate key concepts andprinciples.

Contributors.Acknowledgements.1. Introduction: why molecular epidemiology? (Chris WildSeymour Garte and Paolo Vineis).2. Study design (Paolo Vineis).3. Molecular epidemiological studies that can be nested withincohorts (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 (MarianneBerwick and Richard J. Albertini).11. High-throughput techniques -genotyping and genomics (AlisonM. Dunning and Craig Luccarini).12. Proteomics and molecular epidemiology (Jeff N. Keen and JohnB.C. Findlay).13. Exploring the contribution of metabolic profiling toepidemiological studies (M. Bictash, Elaine Holmes, H. Keun, P.Elliott and J. K. Nicholson).14. Univariate and multivariate data analysis (Yu-Kang Tu andMark S. Gilthorpe).15. Meta-analysis and pooled analysis - genetic andenvironmental 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 inoccupational and environmental epidemiology (S. M. Rappaport and L. L. Kupper).18. Bioinformatics (Jason H. Moore).19. Biomarkers, disease mechanisms and their role in regulatorydecisions (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 CabouxPierre Hainaut and Emmanuelle Gormally).22. Molecular epidemiogy and ethics: biomarkers for diseasesusceptibility (Kirsi Vähäkangas).23. Biomarkers for dietary carcinogens: the example ofheterocyclic amines in epidemiological studies (Rashmi SinhaAmanda Cross and Robert J. Turesky).24. Practical examples: hormones (Sabina Rinaldi and RudolfKaaks).25. Aflatoxin, hepatitis B virus and liver cancer: a paradigmfor molecular epidemiology (John D. Gropman,Thomas. W. Kensler andChris Wild).26. Complex exposures - air pollution (Steffen Loft, ElviraVaclavik Brauner, Lykke Forchhammer, Marie Pedersen, Lisbeth E.Knudsen and Peter Moller).Index.