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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
Van Steen, Kristel
Baur, Max
van Duijn, Cornelia
Palmgren, Juni
Source :
European Journal of Human Genetics; Apr2009, Vol. 17 Issue 4, p533-536, 4p
Publication Year :
2009

Abstract

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 (2009) 17, 533–536; doi:10.1038/ejhg.2008.216; published online 12 November 2008 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10184813
Volume :
17
Issue :
4
Database :
Complementary Index
Journal :
European Journal of Human Genetics
Publication Type :
Academic Journal
Accession number :
36999855
Full Text :
https://doi.org/10.1038/ejhg.2008.216