We present the rationale, the background and the structure for version 2.0 of the GENESTAT information portal (www.genestat.org) for statistical genetics. The fast methodological advances, coupled with a range of standalone software, makes it difficult for expert as well as non-expert users to orientate when designing and analysing their genetic studies. The ultimate ambition of GENESTAT is to guide on statistical methodology related to the broad spectrum of research in genetic epidemiology. GENESTAT 2.0 focuses on genetic association studies. Each entry provides a summary of a topic and gives links to key papers, websites and software. The flexibility of the internet is utilised for cross-referencing and for open editing. This paper gives an overview of GENESTAT and gives short introductions to the current main topics in GENESTAT, with additional entries on the website. Methods and software developers are invited to contribute to the portal, which is powered by a Wikipedia-type engine and allows easy additions and editing.European Journal of Human Genetics advance online publication, 12 November 2008; doi:10.1038/ejhg.2008.216.

doi.org/10.1038/ejhg.2008.216, hdl.handle.net/1765/14265
European Journal of Human Genetics
Erasmus MC: University Medical Center Rotterdam

Ripatti, S., Becker, T., Bickeböller, H., Dominicus, A., Fischer, C., Humphries, H., … Palmgren, J. (2009). GENESTAT: an information portal for design and analysis of genetic association studies. European Journal of Human Genetics, 17(4), 533–536. doi:10.1038/ejhg.2008.216