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

Ripatti, Samuli (author)
Becker, Tim (author)
Bickeboeller, Heike (author)
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Dominicus, Annica (author)
Fischer, Christine (author)
Humphreys, Keith (author)
Karolinska Institutet
Jonasdottir, Gudrun (author)
Moreau, Yves (author)
Olsson, Marita (author)
Ploner, Alexander (author)
Karolinska Institutet
Sheehan, Nuala (author)
Van Steen, Kristel (author)
Baur, Max (author)
van Duijn, Cornelia (author)
Palmgren, Juni (author)
Karolinska Institutet,Stockholms universitet,Matematiska institutionen
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 (creator_code:org_t)
2008-11-12
2009
English.
In: European Journal of Human Genetics. - : Springer Science and Business Media LLC. - 1018-4813 .- 1476-5438. ; 17:4, s. 533-536
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Keyword

statistical genetics
genetic software
internet
NATURAL SCIENCES
NATURVETENSKAP

Publication and Content Type

ref (subject category)
art (subject category)

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