Molecular Epidemiology of Chronic Diseases

Informationen zum Autor Professor Chris Wild. Molecular Epidemiology Unit, Head, Centre for Epidemiology and Biostatistics, Faculty of Medicine and Health, The LIGHT Laboratories, University of Leeds, UK. Professor Paolo Vineis. Chair in Environmental Epidemiology, Div of Primary Care and Population Health Sciences, Medicine, Imperial College, London, UK. Professor Seymour Garte. Professor of Environmental and Community Medicine, Robert Wood Johnson Medical School, University of Medicine and Dentistry of New Jersey; Scientific Director, Genetics Research Institute, Milan, Italy. Center for Environmental Oncology, University of Pittsburgh Cancer Institute, Pittsburgh,?PA,?USA. Klappentext Die Epidemiologie ist zunehmend angewiesen auf laborgenerierte Biomarker-Daten, und das Verständnis von Krankheitsmechanismen ist von steigender Bedeutung für die Erläuterungen der Ätiologie. Deshalb bedarf es eines Buches, das die disziplinären Grenzen überbrückt und allen relevanten Forschungsgruppen (Laborwissenschaftlern, Epidemiologen, klinischen Forschern und Statistikern) zugänglich ist. Zurzeit gibt es kein Werk mit einem expliziten Praxisschwerpunkt, das diese Bandbreite bietet. Diese Lücke füllt das vorliegende Handbuch. Es gibt Epidemiologen Einblick in die Forschung, insbesondere zu Biomarkern, und ermöglicht es Laborwissenschaftlern, die Kernpunkte epidemiologischer Studien zu verstehen. Außerdem stellt es ein Tool für einen Kurs in molekularer Epidemiologie bereit. Einzelne Kapitel widmen sich neuen Technologien (Genomforschung, Proteomik, Metabonomik) sowie Herangehensweisen der Statistik und der Bioinformatik, die aufgrund der zu bewältigenden Datenmenge unerlässlich sind. Zusammenfassung Epidemiology increasingly relies on laboratory-generated biomarker data, and an understanding of disease mechanisms is increasingly important in elucidating aetiology. Eagerly awaited, this book is the first in many years to bridge the gap between molecular biology and epidemiology. Inhaltsverzeichnis Contributors. Acknowledgements. 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 re...

List of contents

Contributors.
 
Acknowledgements.
 
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).
 
Index.

Report

"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, easy to read style." ( BTS Newsletter , Summer 2009) "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." ( American Journal of Human Biology , March 2009)

Product details

• Authors: Seymour Garte, Seymour (University of Pittsburgh Cancer Institute Garte, Garte Seymour, Paol Vineis, Paolo Vineis, Paolo (Imperial College Vineis, Vineis Paolo, Wild, C Wild, Chri Wild, Chris Wild, Chris (University of Leeds Wild, Chris Vineis Wild, Wild Chris, WILD CHRIS VINEIS PAOLO GARTE S
• Assisted by: Seymour Garte (Editor), Paolo Vineis (Editor), Chris Wild (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 14.04.2008
• EAN: 9780470027431
• ISBN: 978-0-470-02743-1
• No. of pages: 384
• Subjects: Natural sciences, medicine, IT, technology > Biology > General, dictionaries; Statistik, Genetik, Chronische Krankheit, Medizin, Statistics, Life Sciences, genetics, EPIDEMIOLOGIE, Biowissenschaften, Biostatistik, Biostatistics, Medical Science, Onkologie u. Strahlentherapie, Oncology & Radiotherapy, Medical Statistics & Epidemiology, Medizinische Statistik u. Epidemiologie