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GENESTAT: an information portal for design and analysis of genetic association studies

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posted on 2009-11-04, 15:31 authored by Samuli Ripatti, Tim Becker, Heike Bickeböller, Annica Dominicus, Christine Fischer, Keith Humphreys, Gudrun Jonasdottir, Yves Moreau, Marita Olsson, Alexander Ploner, Nuala A. Sheehan, Kristel Van Steen, Max Baur, Cornelia van Duijn, Juni Palmgren
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.

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Citation

European Journal of Human Genetics, 2009, 17 (4), pp. 533-536.

Published in

European Journal of Human Genetics

Publisher

Nature Publishing Group

issn

1018-4813

Copyright date

2009

Available date

2009-11-04

Publisher version

http://www.nature.com/ejhg/journal/v17/n4/full/ejhg2008216a.html

Language

en

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