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GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies

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posted on 2016-04-12, 12:00 authored by T. Beck, R. K. Hastings, S. Gollapudi, R. C. Free, Anthony Joseph Brookes
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.

History

Citation

European Journal of Human Genetics, 2014, 22 (7), pp. 949-952

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/MBSP Non-Medical Departments/Department of Genetics

Version

  • VoR (Version of Record)

Published in

European Journal of Human Genetics

Publisher

Nature Publishing Group for European Society of Human Genetics

issn

1018-4813

eissn

1476-5438

Acceptance date

2013-10-25

Copyright date

2013

Available date

2016-04-12

Publisher version

http://www.nature.com/ejhg/journal/v22/n7/full/ejhg2013274a.html

Language

en

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