A road map for efficient and reliable human genome epidemiology

@article{Ioannidis2006ARM,
  title={A road map for efficient and reliable human genome epidemiology},
  author={John P. A. Ioannidis and Marta Gwinn and Julian Little and Julian P. T. Higgins and Jonine L. Bernstein and Paolo Boffetta and Melissa Bondy and Molly S. Bray and Paul E. C. Brenchley and Patricia A. Buffler and Juan Pablo Casas and Anand P Chokkalingam and John Danesh and George Davey Smith and Siobhan M. Dolan and Ross Duncan and Nelleke A. Gruis and Patricia Hartge and Mia Hashibe and David J. Hunter and Marjo-Riitta Jarvelin and Beatrice Malmer and Demetrius M. Maraganore and Julia A Newton-Bishop and Thomas R O'Brien and Gloria M. Petersen and Elio Riboli and Georgia Salanti and Daniela Seminara and Liam Smeeth and Emanuela Taioli and Nicholas John Timpson and Andr{\'e} G. Uitterlinden and Paolo Vineis and Nicholas J. Wareham and Deborah M Winn and Ron L. Zimmern and Muin J. Khoury},
  journal={Nature Genetics},
  year={2006},
  volume={38},
  pages={3-5}
}
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 Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be… 
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