Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/37268
Title: GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies
Authors: Beck, T.
Hastings, R. K.
Gollapudi, S.
Free, R. C.
Brookes, Anthony Joseph
First Published: 4-Dec-2013
Publisher: Nature Publishing Group for European Society of Human Genetics
Citation: European Journal of Human Genetics, 2014, 22 (7), pp. 949-952
Abstract: To facilitate broad and convenient integrative visualization of and access to GWAS data, we have created the GWAS Central resource (http://www.gwascentral.org). This database seeks to provide a comprehensive collection of summary-level genetic association data, structured both for maximal utility and for safe open access (i.e., non-directional signals to fully preclude research subject identification). The resource emphasizes on advanced tools that allow comparison and discovery of relevant data sets from the perspective of genes, genome regions, phenotypes or traits. Tested markers and relevant genomic features can be visually interrogated across up to 16 multiple association data sets in a single view, starting at a chromosome-wide view and increasing in resolution down to individual bases. In addition, users can privately upload and view their own data as temporary files. Search and display utility is further enhanced by exploiting phenotype ontology annotations to allow genetic variants associated with phenotypes and traits of interest to be precisely identified, across all studies. Data submissions are accepted from individual researchers, groups and consortia, whereas we also actively gather data sets from various public sources. As a result, the resource now provides over 67 million P-values for over 1600 studies, making it the world's largest openly accessible online collection of summary-level GWAS association information.
DOI Link: 10.1038/ejhg.2013.274
ISSN: 1018-4813
eISSN: 1476-5438
Links: http://www.nature.com/ejhg/journal/v22/n7/full/ejhg2013274a.html
http://hdl.handle.net/2381/37268
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2013, the authors. This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/.
Appears in Collections:Published Articles, Dept. of Genetics

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