A road map for efficient and reliable human genome epidemiology.
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 Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks.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.
Ioannidis
John P A
JP
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. jioannid@cc.uoi.gr
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D016208:Databases, Factual; D004812:Epidemiologic Methods; D020022:Genetic Predisposition to Disease; D015894:Genome, Human; D016045:Human Genome Project; D006801:Humans; D016239:MEDLINE; D012107:Research Design