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Defining Optimal Immunotherapies for Type 1 Diabetes



Defining Optimal Immunotherapies for Type 1 Diabetes

Gregory R. Bock (Editor), Jamie A. Goode (Editor)

ISBN: 978-0-470-69741-2 July 2008 222 Pages


  • This book is a comprehensive and up-to-date account of where we stand in immunological strategies for preventing or treating type 1 diabetes (T1D).
  • Brings together contributions from the leaders in the arena of clinical immunotherapy, not limited to the diabetes field exclusively, in order to delineate a road-map that would lead to future clinical trials.
  • The book integrates information from human and animal studies.
  • The book considers T1D within the broader context of autoimmune disease.
  • The format contains several discussions, which address specific questions and provides guidelines for future strategies and solutions for discovering a cure.
1. Michael Rutter

Introduction: whither gene–environment interactions?

2. Rudolf Uher

Gene–environment interaction: overcoming methodological challenges


3. Marco Battaglia, Cecilia Marino, Michel Maziade, Massimo Molteni and Francesca D’Amato

Gene–environment interaction and behavioural disorders: a developmental perspective based on endophenotypes


4. Naomi R. Wray, William L. Coventry, Michael R. James, Grant W. Montgomery, Lindon J. Eaves and Nicholas G. Martin

Use of monozygotic twins to investigate the relationship between 5HTTLPR genotype, depression and stressful life events: an application of Item Response Theory



General discussion I

5. Harold Snieder, Xiaoling Wang, Vasiliki Lagou, Brenda W. J. H. Penninx, Harriëtte Riese and Catharina A. Hartman

Role of gene–stress interactions in gene-finding studies


6. Kenneth A. Dodge

Practice and public policy in the era of gene–environment interactions


7. Kristi B. Adamo and Frédérique Tesson

Gene–environment interaction and the metabolic syndrome


General discussion II

8. Stephen P. Robertson and Richie Poulton

Longitudinal studies of gene–environment interaction in common diseases—good value for money?


9. Kee-Seng Chia

Gene–environment interactions in breast cancer


10. Malak Kotb, Nourtan Abdeltawab, Ramy Aziz, Sarah Rowe, Robert W. Williams and Lu Lu

Unbiased forward genetics and systems biology approaches to understanding how gene–environment interactions work to predict susceptibility and outcomes of infections


11. Steven R. Kleeberger and Hye-Youn Cho

Gene–environment interactions in environmental lung diseases


General discussion III

12. Fernando D. Martinez

Gene–environment interaction in complex diseases: asthma as an illustrative case


13. Michael Rutter

Conclusions: taking stock and looking ahead


Index of contributors

Subject index