A road map for efficient and reliable human genome epidemiology

John P.A. Ioannidis, Marta Gwinn, Julian Little, Julian P.T. Higgins, Jonine L. Bernstein, Paolo Boffetta, Melissa Bondy, Molly S. Bray, Paul E. Brenchley, Patricia A. Buffler, Juan Pablo Casas, Anand Chokkalingam, John Danesh, George Davey Smith, Siobhan Dolan, Ross Duncan, Nelleke A. Gruis, Patricia Hartge, Mia Hashibe, David J. HunterMarjo Riitta Jarvelin, Beatrice Malmer, Demetrius M. Maraganore, Julia A. Newton-Bishop, Thomas R. O'Brien, Gloria Petersen, Elio Riboli, Georgia Salanti, Daniela Seminara, Liam Smeeth, Emanuela Taioli, Nic Timpson, Andre G. Uitterlinden, Paolo Vineis, Nick Wareham, Deborah M. Winn, Ron Zimmern, Muin J. Khoury

Research output: Contribution to journalReview articlepeer-review

209 Scopus citations


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 Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks.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.

Original languageEnglish (US)
Pages (from-to)3-5
Number of pages3
JournalNature Genetics
Issue number1
StatePublished - Jan 2006
Externally publishedYes

ASJC Scopus subject areas

  • Genetics


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