PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
November 2, 2016Nucleic Acids Research2,410 citationsOpen Access

The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)

View Full Paper
JMJacqueline A. L. MacArthurEBEmily Bowler-BarnettMCMaría Cerezo

Key Points

  • This work aims to enhance the NHGRI-EBI GWAS Catalog for improved data management and accessibility.
  • Implemented a new graphical user interface and ontology-supported search functionality.
  • Increased automation in data curation and made scaling improvements for larger studies.
  • Extended data offerings to include structured ancestry and recruitment information for all studies.
  • The new infrastructure improved data release frequency significantly due to enhanced automation.
  • The catalog is now capable of accommodating larger genomic arrays and sequencing studies.
  • Additional structured data has been integrated to better serve user needs in the evolving landscape of genomic research.

Abstract

The NHGRI-EBI GWAS Catalog has provided data from published genome-wide association studies since 2008. In 2015, the database was redesigned and relocated to EMBL-EBI. The new infrastructure includes a new graphical user interface (www.ebi.ac.uk/gwas/), ontology supported search functionality and an improved curation interface. These developments have improved the data release frequency by increasing automation of curation and providing scaling improvements. The range of available Catalog data has also been extended with structured ancestry and recruitment information added for all studies. The infrastructure improvements also support scaling for larger arrays, exome and sequencing studies, allowing the Catalog to adapt to the needs of evolving study design, genotyping technologies and user needs in the future.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

MacArthur et al. (2016) studied this question.

synapsesocial.com/papers/69d57612493d9d40f844278fhttps://doi.org/10.1093/nar/gkw1133
Ask AI
Helpful
Bookmark
Share
View Full Paper