GWAS Central data release January 2016

January 29th, 2016 | Posted by tb143 in News | Uncategorized - (Comments Off on GWAS Central data release January 2016)

GWAS Central has released additional studies that have been submitted directly by researchers. These studies are described in recently published or “in press” papers.

GWAS Central data release March 2015

March 27th, 2015 | Posted by tb143 in News | Release | StudyRelease | Uncategorized - (Comments Off on GWAS Central data release March 2015)

GWAS Central has released additional studies that have been submitted directly by researchers. These studies are described in recently published or “in press” papers.

GWAS data release August 2014

August 17th, 2014 | Posted by rkh7 in News | Release | StudyRelease | Uncategorized - (Comments Off on GWAS data release August 2014)

GWAS Central has released over 200 additional GWAS.

New GWAS Central database released with significant additional content

September 5th, 2013 | Posted by rkh7 in News | Release | StudyRelease | Uncategorized - (Comments Off on New GWAS Central database released with significant additional content)

GWAS Central Study database release 11 is released 5th September 2013

Version 11  of the study database includes significant new content increasing the number of GWAS from 1008 (34,131,526 p-values) to 1,605 studies (67,723,637 p-values, 2,935163 unique dbSNP markers). All phenotypes included in the studies have been annotated to MeSH controlled vocabulary with direct mappings to Human Phenotype Ontology (HPO) where available.

Version 11 includes data from:

NHGRI GWAS Catalog
Open Access Database of Genome-wide Association Results,
Japanese GWASdb
dbGaP
WTCCC
Broad
CGEMS
1958 British Birth Cohort
Magic Consortium
Spiro Consortium
Giant Consortium

Studies from publication supplementary data

Direct Submissions to GWAS Central including submissions from contacting study owners

GWAS Mart Tutorial available

September 5th, 2013 | Posted by rkh7 in News | Uncategorized - (Comments Off on GWAS Mart Tutorial available)

A short tutorial on how to use the GWAS Mart is now available in the Help section of the website.

Please see the following page for further details:

http://www.gwascentral.org/info/how-to/how-to-use-gwas-mart/

GWAS Central database summary updated in NAR Molecular Biology Database Collection

July 23rd, 2013 | Posted by rkh7 in News | Uncategorized - (Comments Off on GWAS Central database summary updated in NAR Molecular Biology Database Collection)

GWAS Central database summary updated in NAR Molecular Biology Database Collection highlighting developments from the past year

http://www.oxfordjournals.org/nar/database/summary/131

Semantically enabling a genome-wide association study database

July 17th, 2013 | Posted by rkh7 in News | Uncategorized - (Comments Off on Semantically enabling a genome-wide association study database)

Semantically enabling a genome-wide association study database: a publication using data from GWAS Central describing a methodology for applying phenotype annotations to a comprehensive genome-wide association dataset and for ensuring compatibility with the Semantic Web was published December 2012.

The provision of GWAS nanopublications enables a new dimension for exploring GWAS data, by way of intrinsic links to related data resources within the Linked Data web. The value of such annotation and integration will grow as more biomedical resources adopt the standards of the Semantic Web.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579732/

The GWAS Central phenotype annotations can be queried and viewed from the web interface at:

http://www.gwascentral.org/phenotypes

The GWAS Central SPARQL end-point can be accessed at:

http://fuseki.gwascentral.org

The human-mouse comparative phenotype pipeline described in this paper, named “get human and mouse phenotypes for a gene”, is available from myExperiment at:

http://www.myexperiment.org/workflows/2131.html

 

Semantic Web/Linked Data support added

April 2nd, 2012 | Posted by rcf8 in News | Uncategorized - (Comments Off on Semantic Web/Linked Data support added)

GWAS Central now provides data in Semantic Web and Linked Data compatible formats through:

  • Individual markers, phenotypes and results which now output RDF and Turtle formats that connect to Linked Data resources.
  • Nanopublications: a  Semantic Web resource using named graphs, and contain key results for each dataset outputs N-Quads format. These follow the nanopublication proposals suggested here.
  • The construction of a triple-store with a SPARQL server available at http://fuseki.gwascentral.org.

We are in the process of updating the Web Services section of our help with more information.

Release 7

April 2nd, 2012 | Posted by rcf8 in Uncategorized | WebRelease - (Comments Off on Release 7)

Semantic Web and Linked Data support added:

  • Individual markers, phenotypes and results now output RDF and Turtle formats.
  • Nanopublications:  S/W resource using named graphs, and contain key results for each dataset outputs N-Quads format. Follows the nanopublication proposals suggested here.
  • Construction of a TripleStore with a SPARQL server at http://fuseki.gwascentral.org

Updated Data Sharing Statement

April 2nd, 2012 | Posted by rcf8 in News | Uncategorized - (Comments Off on Updated Data Sharing Statement)

GWAS Central is committed to data sharing wherever possible, to maximise the value and scientific impact of data. However, this has to balanced against the risk of identifying research subjects (see Homer et al: http://dx.doi.org/10.1371/journal.pgen.1000167). Additionally, data in GWAS Central are curated and integrated, making them unique as an asset. For these reasons, our policy on data sharing is that we openly provide large amounts of data (up to 1,000 markers and associated data per download), in a range of displays and formats, sufficient for the needs of most researchers. Complete downloads of the complete database, or very large segments of it, are not openly allowed, but can be discussed in special cases that do not involve competing projects or commercial use of the data.