Database Management Systems; Genome-Wide Association Study/*methods; Genotype; Information Dissemination/methods; Internet; *Software
Abstract :
[en] 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.
Disciplines :
Genetics & genetic processes
Author, co-author :
Ripatti, Samuli; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
Becker, Tim; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
Bickeboller, Heike; University of Göttingen > Department of Genetic
Epidemiology, Medical School
Dominicus, Annica; AstraZeneca R&D (Sweden) > Department of Biostatistics
Fischer, Christine; University of Heidelberg > Institute for Human Genetics
Humphreys, Keith; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
Jonasdottir, Gudrun; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
Moreau, Yves; Katholieke Universiteit Leuven (KUL) > Department of
Electrical Engineering ESAT – SDC
Olsson, Marita; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
Ploner, Alexander; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
Sheehan, Nuala; University of Leicester > Department of Health Sciences
Van Steen, Kristel ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Bioinformatique
Baur, Max; University of Bonn > Institute for Medical Biometry, Informatics and Epidemiology
van Duijn, Cornelia; Erasmus University Medical Center (Rotterdam, The Netherlands) > Department of Epidemiology and Biostatistics
Palmgren, Juni; Karolinska Institutet (Stockholm, Sweden) > Department of Medical Epidemiology and Biostatistics
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