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

被引:0
作者
Tim Beck
Robert K Hastings
Sirisha Gollapudi
Robert C Free
Anthony J Brookes
机构
[1] University of Leicester,Department of Genetics
来源
European Journal of Human Genetics | 2014年 / 22卷
关键词
GWAS; Genotype; Phenotype; SNP; Database;
D O I
暂无
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学科分类号
摘要
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.
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页码:949 / 952
页数:3
相关论文
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  • [1] Mailman MD(2007)The NCBI dbGaP database of genotypes and phenotypes Nat Genet 39 1181-1186
  • [2] Feolo M(2008)Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays PLoS Genet 4 e1000167-9367
  • [3] Jin Y(2009)Potential etiologic and functional implications of genome-wide association loci for human diseases and traits Proc Natl Acad Sci USA 106 9362-D802
  • [4] Homer N(2009)An open access database of genome-wide association results BMC Med Genet 10 6-531
  • [5] Szelinger S(2009)HGVbaseG2P: a central genetic association database Nucleic Acids Res 37 D797-1480-3-9
  • [6] Redman M(2007)Lifecourse influences on health among British adults: effects of region of residence in childhood and adulthood Int J Epidemiol 36 522-bar049
  • [7] Hindorff LA(2012)Semantically enabling a genome-wide association study database J Biomed Semantics 3 9-D1312
  • [8] Sethupathy P(2011)BioMart: driving a paradigm change in biological data management Database 2011 bar049-undefined
  • [9] Junkins HA(2012)SNPedia: a wiki supporting personal genome annotation, interpretation and analysis Nucleic Acids Res 40 D1308-undefined
  • [10] Johnson AD(undefined)undefined undefined undefined undefined-undefined