Thursday, August 17, 2017

New member of the Knowledge Portal family: the Cerebrovascular Disease Knowledge Portal

We are pleased to announce today’s launch of the Cerebrovascular Disease Knowledge Portal (CDKP), an open-access resource for the genetics of stroke built on the framework and infrastructure of the Type 2 Diabetes Knowledge Portal (T2DKP). The CDKP aggregates data from five large genome-wide association studies for stroke, and presents them along with GWAS results for T2D and other cardiometabolic and biometric phenotypes as well as epigenomic data from a wide range of tissues.


CDKP home page


Users of the T2DKP will find familiar interfaces in the CDKP, which offers the same three major entry points for exploring the data: Gene and Variant pages; the Variant Finder tool; and pages displaying genome-wide association results for each phenotype. Summary-level data are presented for browsing and searching, and researchers may perform custom analyses using individual-level data via the Genetic Association Interactive Tool (GAIT) or LocusZoom. Using the CDKP, T2D researchers can now check their favorite variants and genes for associations with a range of phenotypes related to cerebrovascular health and disease.

The CDKP has two additional layers of functionality relative to the T2DKP, addressing particular needs of the stroke research community. A Downloads page provides files of summary statistics from recent stroke genetic association studies. And a home page link leads to the Precision Medicine Platform (PMP) of the American Heart Association Institute for Precision Cardiovascular Medicine, where authorized researchers may work with selected sets of individual-level data in a secure computing environment.

The Knowledge Portal (KP) framework was designed and built by a team at the Broad Institute as part of the Accelerating Medicines Partnership in Type 2 Diabetes (AMP T2D), a public-private partnership that seeks to speed up the translation of genetic association data for T2D and related traits into actionable knowledge for new T2D treatments. In a collaboration with the International Stroke Genetics Consortium, funded by the National Institute of Neurological Disorders and Stroke, the Broad team incorporated stroke genetic data into the KP framework and customized the user interface for the stroke genetics research community.

This first application of the scalable, open-source KP software platform to a complex disease area other than T2D has paved the way for future collaborations to extend this platform to additional diseases, facilitating the translation of genetic data into actionable knowledge to improve human health.

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