[Recorded webinar and slides are available now!] Join dkNET Webinar: The Type 2 Diabetes Knowledge Portal on Friday, February 28, 2020 at 11am PT

*Watch recorded webinar here: https://youtu.be/Ka-ind9qHvg

*Webinar slides: https://www.slideshare.net/dkNET/dknet-webinar-the-type-2-diabetes-knowledge-portal-02282020

Join dkNET Webinar on Friday, February 28, 2020, 11am - 12pm PT

Abstract

The Type 2 Diabetes Knowledge Portal (T2DKP; type2diabetesgenetics.org), produced by the Accelerating Medicines Partnership in Type 2 Diabetes (AMP T2D), is an open-access resource that aims to facilitate the translation of genomic data into actionable knowledge for understanding and treatment of T2D and its complications. The supporting data and software platform is a modular system for data aggregation, analysis, and display, including: software for managing and tracking the transfer of data from contributors; automated analysis of Individual-level data (i.e. genotypes and phenotypes) or association summary statistics via statistical genetic or bioinformatic methods; storage of this information within a database accessible by a collection of Representation State Transfer (REST) APIs; and a web interface for visualizing these data. The T2DKP, which currently contains 84 datasets with genetic associations for 191 traits, makes genetic associations available for browsing by gene, variant, or genomic region, or browsing by phenotype in Manhattan plots. It presents distilled at-a-glance summaries for genes and regions while also offering the ability to drill down to the details of individual variant associations. The T2DKP also integrates epigenomic annotations and results of computational methods with GWAS results, to help researchers prioritize variants, genes, and tissues for further research. Interactive tools allow users to perform custom association analyses that securely access and compute on individual-level data without ever exposing the raw data. All datasets are fully documented, and summary statistic files may be made available for download from the T2DKP upon request of the study authors. The data and software platform have been applied to 4 additional open access resources for cardio-metabolic diseases; cardiovascular disease, cerebrovascular disease, and sleep disorders. We aim to release a companion resource for Type 1 Diabetes in 2020. All these resources provide 2 definitive features: access to authoritative results supplied by the generating research community; powered by a single underlying software system, thus allowing future integration into a common resource for common cardio-metabolic disease.

1. What are the genomic-wide associations for T2D and related traits from the definitive T2D genetic community datasets?
2. What are the most up to date and curated list of predicted T2D effector genes, along with the supporting lines for evidence?
3. What is the credible set of variants to study for functional follow up from any GWAS locus for T2D?
4. What are the results of computational approaches and relevant genomic annotations to assist in prioritization of a variant or gene from GWAS loci?

Presenter(s):

Noël Burtt, Director, Operations and Development, Diabetes Research and Knowledge Portals, Program in Medical and Population Genetics, Broad Institute of Harvard and MIT

Jason Flannick, Assistant Professor of Pediatrics, Division of Genetics and Genomics, Boston Children’s Hospital and Harvard Medical School and Associate Member, Broad Institute of Harvard and MIT

Dial-in information: https://uchealth.zoom.us/meeting/register/tJEsdemsqTMrhvUzfBTV8GL-DJy5AXvvKw

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