GENESTAT: an information portal for design and analysis of genetic association studies.
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.
Ripatti
Samuli
S
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Samuli.ripatti@ktl.fi
Becker
Tim
T
Bickeböller
Heike
H
Dominicus
Annica
A
Fischer
Christine
C
Humphreys
Keith
K
Jonasdottir
Gudrun
G
Moreau
Yves
Y
Olsson
Marita
M
Ploner
Alexander
A
Sheehan
Nuala
N
Van Steen
Kristel
K
Baur
Max
M
van Duijn
Cornelia
C
Palmgren
Juni
J
D003628:Database Management Systems; D055106:Genome-Wide Association Study / Q000379:methods*; D005838:Genotype; D033181:Information Dissemination / Q000379:methods; D020407:Internet; D012984:Software