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Nature Genetics 38, 3 - 5 (2006)

A road map for efficient and reliable human genome epidemiology

John P A Ioannidis1, 2, Marta Gwinn3, Julian Little4, Julian P T Higgins5, 6, Jonine L Bernstein7, Paolo Boffetta8, Melissa Bondy9, Molly S Bray10, Paul E Brenchley11, Patricia A Buffler12, Juan Pablo Casas13, Anand Chokkalingam12, John Danesh14, George Davey Smith15, Siobhan Dolan16, Ross Duncan17, Nelleke A Gruis18, Patricia Hartge19, Mia Hashibe8, David J Hunter20, Marjo-Riitta Jarvelin21, 22, Beatrice Malmer23, Demetrius M Maraganore24, Julia A Newton-Bishop25, Thomas R O'Brien19, Gloria Petersen26, Elio Riboli8, Georgia Salanti1, 5, Daniela Seminara27, Liam Smeeth13, Emanuela Taioli28, Nic Timpson15, Andre G Uitterlinden29, Paolo Vineis21, 30, Nick Wareham31, Deborah M Winn27, Ron Zimmern6, Muin J Khoury3 & The Human Genome Epidemiology Network and the Network of Investigator Networks

1  Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, and Biomedical Research Institute, Foundation for Research and Technology-Hellas, Ioannina 45110, Greece.

2  Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.

3  Office of Genomics and Disease Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.

4  Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario K1H 8M5, Canada.

5  Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge CB2 2SR, UK.

6  Public Health Genetics Unit, Strangeways Research Laboratory, Cambridge CB1 8RN, UK.

7  Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA.

8  International Agency for Research on Cancer, 69008 Lyons, France.

9  Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA.

10  United States Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas 77030, USA.

11  Renal Research Laboratories, Manchester Institute of Nephrology and Transplantation, Royal Infirmary, Manchester M13 9WL, UK.

12  University of California, Berkeley, California 94720-7360, USA.

13  Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.

14  Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.

15  Department of Social Medicine, University of Bristol, Canynge Hall, Whiteladies Road, Bristol, BS8 2PR, UK.

16  March of Dimes, White Plains, New York 10605, USA.

17  World Health Organization, Geneva CH-1211, Switzerland.

18  Department of Dermatology, Leiden University Medical Center, 2333 AL Leiden, The Netherlands.

19  Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland 20852, USA.

20  Harvard School of Public Health, Boston, Massachusetts 02115, USA.

21  Department of Epidemiology and Public Health, Imperial College, London W2 1PG, UK.

22  Department of Public Health Science and General Practice, University of Oulu, Oulu, Finland.

23  Department of Radiation Sciences, Oncology, Umea University Hospital, Sweden.

24  Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, USA.

25  Genetic Epidemiology Division, CR-UK Clinical Centre, Leeds LS8 7FT, UK.

26  Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA.

27  Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland 20892, USA.

28  University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania 15232, USA.

29  Departments of Internal Medicine and Epidemiology & Biostatistics, Erasmus MC, Rotterdam 3000DR, The Netherlands.

30  Institute for Scientific Interchange Foundation, Torino, Italy.

31  Medical Research Council Epidemiology Unit, Elsie Widdowson Laboratories, Cambridge CB1 9NL, UK.

Networks of investigators have begun sharing best practices, tools and methods for analysis of associations between genetic variation and common diseases. A Network of Investigator Networks has been set up to drive the process, sponsored by the Human Genome Epidemiology Network. A workshop is planned to develop consensus guidelines for reporting results of genetic association studies. Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks. Systematic reviews will be expanded to include more meta-analyses of individual-level data and prospective meta-analyses. Field synopses will offer regularly updated overviews.


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Nature Genetics
ISSN: 1061-4036
EISSN: 1546-1718
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