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A road map for efficient and reliable human genome epidemiology

By J.P.A. Ioannidis, M. Gwinn, J. Little, J.P.T. Higgins, J.L. Bernstein, P. Boffetta, M. Bondy, M.S. Bray, P.E. Brenchley, P.A. Buffler, J.P. Casas, A. Chokkalingam, J. Danesh, G.D. Smith, S. Dolan, R. Duncan, N.A. Gruis, P. Hartge, M. Hashibe, D.J. Hunter, M.-R. Jarvelin, B. Malmer, D.M. Maraganore, J.A. Newton-Bishop, O&apos, G. Petersen, E. Riboli, G. Salanti, D. Seminara, L. Smeeth, E. Taioli, N. Timpson, A.G. Uitterlinden, P. Vineis, N. Wareham, D.M. Winn, R. Zimmern and M.J. Khoury

Abstract

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 Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks.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. \ua9 2006 Nature Publishing Group

Topics: Human genome
Publisher: 'Springer Science and Business Media LLC'
Year: 2006
DOI identifier: 10.1038/ng0106-3
OAI identifier: oai:cris.unibo.it:11585/669438
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