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

被引:122
|
作者
Beck, Tim [1 ]
Hastings, Robert K. [1 ]
Gollapudi, Sirisha [1 ]
Free, Robert C. [1 ]
Brookes, Anthony J. [1 ]
机构
[1] Univ Leicester, Dept Genet, Leicester LE1 7RH, Leics, England
关键词
GWAS; Genotype; Phenotype; SNP; Database; DATABASE;
D O I
10.1038/ejhg.2013.274
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
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.
引用
收藏
页码:949 / 952
页数:4
相关论文
共 50 条
  • [41] Accounting for multiple comparisons in a genome-wide association study (GWAS)
    Johnson, Randall C.
    Nelson, George W.
    Troyer, Jennifer L.
    Lautenberger, James A.
    Kessing, Bailey D.
    Winkler, Cheryl A.
    O'Brien, Stephen J.
    [J]. BMC GENOMICS, 2010, 11
  • [42] Accounting for multiple comparisons in a genome-wide association study (GWAS)
    Randall C Johnson
    George W Nelson
    Jennifer L Troyer
    James A Lautenberger
    Bailey D Kessing
    Cheryl A Winkler
    Stephen J O'Brien
    [J]. BMC Genomics, 11
  • [43] GENOME-WIDE ASSOCIATION STUDY (GWAS) AND ANALYSIS OF VIOLENCE IN SCHIZOPHRENIA
    de Luca, Vincenzo
    Tasmim, Samia
    Bani-Fatemi, Ali
    Roy, Anvesh
    [J]. EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2019, 29 : S937 - S937
  • [44] A genome-wide association study (GWAS) of the human plasma proteome
    Jamnik, Joseph
    Garcia-Bailo, Bibiana
    Borchers, Christoph
    El-Sohemy, Ahmed
    [J]. FASEB JOURNAL, 2013, 27
  • [45] Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations
    Dagasso, Gabrielle
    Yan, Yan
    Wang, Lipu
    Li, Longhai
    Kutcher, Randy
    Zhang, Wentao
    Jin, Lingling
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2020, : 1361 - 1367
  • [46] Genome-wide haplotype association studies: comparison of novel methods
    Laabs, Bjoern-Hergen
    Koenig, Inke R.
    [J]. GENETIC EPIDEMIOLOGY, 2018, 42 (07) : 711 - 711
  • [47] GENOME-WIDE ASSOCIATION STUDIES Validating, augmenting and refining genome-wide association signals
    Ioannidis, John P. A.
    Thomas, Gilles
    Daly, Mark J.
    [J]. NATURE REVIEWS GENETICS, 2009, 10 (05) : 318 - 329
  • [48] Pulmonary Function: From Genome-Wide Association Studies to Genome-Wide Interaction Studies
    Christiani, David C.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199 (05) : 557 - 559
  • [49] Alcohol Dependence Genetics: Lessons Learned From Genome-Wide Association Studies (GWAS) and Post-GWAS Analyses
    Hart, Amy B.
    Kranzler, Henry R.
    [J]. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2015, 39 (08) : 1312 - 1327
  • [50] Genome-wide association studies in ADHD
    Franke, Barbara
    Neale, Benjamin M.
    Faraone, Stephen V.
    [J]. HUMAN GENETICS, 2009, 126 (01) : 13 - 50