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United States Department of Agriculture

Agricultural Research Service


item Ioannidis, John
item Gwinn, Marta
item Little, Julian
item Higgins, Julian
item Bernstein, Jonine
item Boffeta, Paolo
item Bondy, Melissa
item Bray, Molly
item Brenchley, Paul
item Buffler, Patricia

Submitted to: Nature Genetics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/15/2005
Publication Date: 1/15/2006
Citation: Ioannidis, J.P., Gwinn, M., Little, J., Higgins, J.P.T., Bernstein, J.L., Boffeta, P., Bondy, M., Bray, M.S., Brenchley, P.E., Buffler, P.A. 2006. A road map for efficient and reliable human genome epidemiology. Nature Genetics. 38(1):3-5.

Interpretive Summary: Many genetic studies have been performed with a great deal of conflicting results. These conflicting results occur because many studies only have a small number and/or specialized groups of individuals to study, and their results may not be representative of all people. Thus, many groups have begun to form networks of research teams who can share study samples and information and perform studies that cover a wider range of individuals. In order to provide some support and guidance for the formation of these networks, a "Network of Investigator Networks" has been set up, sponsored by the Human Genome Epidemiology (HuGE) Network. This paper summarizes the various types of guidance (organization, publications, etc.) that the Network of Networks will provide.

Technical Abstract: Network 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 Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator network. Systematic reviews will be expanded to include more mete-analyses of individual-level data and prospective mata-analyses. Field synopses will offer regularly updated overviews.

Last Modified: 07/25/2017
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