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Title: GENESTAT: an information portal for design and analysis of genetic association studies
Authors: Ripatti, Samuli
Becker, Tim
Bickeböller, Heike
Dominicus, Annica
Fischer, Christine
Humphreys, Keith
Jonasdottir, Gudrun
Moreau, Yves
Olsson, Marita
Ploner, Alexander
Sheehan, Nuala A.
Van Steen, Kristel
Baur, Max
van Duijn, Cornelia
Palmgren, Juni
First Published: Apr-2009
Publisher: Nature Publishing Group
Citation: European Journal of Human Genetics, 2009, 17 (4), pp. 533-536.
Abstract: We present the rationale, the background and the structure for version 2.0 of the GENESTAT information portal ( 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.
DOI Link: 10.1038/ejhg.2008.216
ISSN: 1018-4813
Type: Report
Rights: This is the author's final draft of the paper published as European Journal of Human Genetics, 2009, 17 (4), pp. 533-536. The final version is available from Doi: 10.1038/ejhg.2008.216
Appears in Collections:Published Articles, Dept. of Genetics
Published Articles, Dept. of Health Sciences

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