PanKbase

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

📣 We're one day from #CFDE #PublicWebinarSeries!

🎙️@druggablegenome will present: "New, Improved, Updated, FAIR-ified, and Integrated Datasets and Tools from Illuminating the Druggable Genome"

🗓 Friday, May 29, 2026
⏰ 1:00–2:00 PM ET

💻 Register: https://t.co/aoyCQ4RsOa

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

Check out the Spring 2026 production release updates on the Knowledge Portal Network (KPN) newsletter!

Stay up to date on:
🧬 genetics & genomics datasets
🔎 disease-focused knowledge portals
🛠️ analysis tools & tutorials
📣 community updates

🔗 https://t.co/08aZirmuzn

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

📣 Save the date for the next #CFDE #PublicWebinarSeries
@DruggableGenome will present: New, Improved, Updated, FAIR-ified, and Integrated Datasets and Tools from Illuminating the Druggable Genome (IDG)
🗓 Friday, May 29, 2026
⏰ 1:00–2:00 PM ET

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

Join us for the next #KnowledgePortalNetwork #Webinar: Musculoskeletal Knowledge Portal (MSK-KP) Tissue Champion Initiative
📆 Thursday, May 21, 2026
⏰ 12:00–1:00 PM ET
🎙️ Featured speaker: Marc Wein, MD, PhD–Mass General Hospital
💻 Register: https://t.co/efN2lcpwTU

[Anna Gloyn @annagloyn]

Delighted to share that the @NIDDKgov funded @iidp_at_coh is reporting characterization of close to 300 organ donors.

Working at this scale there are lots of insights into the heterogeneity of islets even in people without diabetes but most importantly the data behind this paper are now available on the IIDP RDR for others to explore and use for their own research. At the @ADA_DiabetesPro meeting next month the NIDDK funded @PanKbase will also release a browser to explore some of these data in concert with other omic data.

It takes a village to do this type of science including dedicated funding over decades to support the infrastructure. Proud to have played a small part in this effort which was championed by #IIDP co-directors @cevansmo & @NilandLab and #HIPP director #MarcelaBrissova (not on X).

Huge shout out to the many amazing early career investigators who have contributed to this work over the last decade particularly co-first authors- #YasminyePettway (not on X), @SethASharp @_dianecait .

Link to Press Release - https://t.co/3brpiTzePZ

Link to paper - https://t.co/eu6IMUjrxt

Link to data - https://t.co/NP5FvZrMFA

@VUMChealth @VanderbiltU @StanfordMed @StanfordPeds @cityofhope @IndianaUniv @NIDDKgov

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

🧬 Will you be attending #TheFestivalofGenomics2026 in Boston, MA?
👩‍🔬 June 3-4, 2026 | booth 1A
🎙️ Ancillary Session "From Prompt to Provenance: AI enhanced contextual workflow across the Common Fund Data Ecosystem (#CFDE)" on June 3, 2026 from 4:10 PM - 5:40 PM in Room 50

[Common Metabolic Diseases Genome Atlas @CMDGA_AMP]

Exciting news from @CarolynMcgrail7, Emily Griffin, TJ Sears, @kjgaulton, @CarterCompBio and team, their work is now published in Nature Genetics! 🧬

📄 Paper link in the comments!

Using genetic data from ~20,000 individuals with T1D and ~800,000 without, they identified novel genetic risk factors and developed T1GRS, a machine learning model for improved T1D risk prediction.

T1GRS improved classification even in individuals who don't carry classical high-risk HLA haplotypes, and across multi-ancestry populations.

The study also identified four genetic subclusters of T1D with significant differences in age of onset and diabetes complications a step toward precision medicine for T1D.

As preventative therapies like Tzield expand what's possible for T1D prevention, better risk prediction matters more than ever. This work could help identify at-risk individuals earlier and improve outcomes. 🙏

Collaborators: Alex Ghaben, Parul Kudtarkar, Patrick Smadbeck @jaflannick

#Type1Diabetes #T1D #DiabetesResearch #Genetics #NatureGenetics

@NatureGenet @AMP_CMDKP @PanKbase

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

We're only a few hours away from our next KPN Webinar! Learn about the Variant Sifter and how it enables rapid, intuitive variant prioritization 🧬

💻 Register: https://t.co/efN2lcpwTU

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

Join us ‼️tomorrow‼️from 12-1 PM ET for the Knowledge Portal Webinar featuring Trang Nguyen, who will present on "Sifting the Signal: Exploring and Prioritizing Genetic Variants with the Variant Sifter."

💻Register for the event: https://t.co/efN2lcpwTU

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

🧬 Join us May 7 (12–1 PM ET) for the Knowledge Portal Network webinar!

🎙️Trang Nguyen will present on "Sifting the Signal: Exploring & Prioritizing Genetic Variants with the Variant Sifter"

💻 Register: https://t.co/efN2lcpwTU

[PanKbase @PanKbase]

Unable to join yesterday's #PanKbase webinar where Dr. Jie Liu and Ringo Mao of UMichigan presented on #PanKgraph, a pancreas-focused knowledge graph for integrated diabetes research?

The webinar recording is now LIVE: https://t.co/6MfwZoF2dJ

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

Only‼️ONE‼️day until our #CFDE webinar featuring @uniprot

📅 Friday, April 24, 2026 |⏰ 1–2 PM ET

In this session, UniProt will present recent work and collaborations advancing AI-driven biomedical discovery.

💻 Register here: https://t.co/HUazvk8XBF

[PanKbase @PanKbase]

‼️TOMORROW‼️ join our #PanKbase webinar to:
🧪 Explore PanKgraph
🔍 Navigate data by research questions
🔗 Integrated with public resources
💬 Live Q&A

🗓 Apr 23 | ⏰ 12–1 PM ET
🎙️ Speakers from UMich

💻 Register: https://t.co/mZBZVhWLOX

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

In‼️ONE WEEK‼️hear from @uniprot as they present on "UniProt & CFDE Partnership for AI-Driven Biomedical Discovery" at the #CFDE #PublicWebinarSeries

📅 April 24 | ⏰ 1–2 PM ET

💻Register: https://t.co/HUazvk8XBF

[PanKbase @PanKbase]

‼️We're ONE WEEK away from our next #PanKbase webinar
🧪 Learn about PanKgraph, a pancreas-focused knowledge graph for integrated diabetes research
🙋 Ask questions in real-time
📆 Apr 23 | 12-1 PM ET
🎙️Dr. Jie Liu & Ringo Mao from UMich
💻 Register: https://t.co/y4puwgw5cc

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

‼️ Unable to join today's #KnowledgePortalNetwork Webinar?

🎙️ MacKenzie Brandes showcased what’s new in the Common Metabolic Diseases Knowledge Portal (https://t.co/C9OhRPMvWE).

💻 The recording is now live: https://t.co/8zJiA5inLn

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

🧐Curious about what's new on the #CMDKP?
📆 Join us tomorrow, April 9th from 12-1 PM ET at our #KnowledgePortalWebinar
💡Learn about the new data, features, and community portals
🙋 Ask questions in real-time
💻 Register: https://t.co/HMKLCxbJrw

[Common Metabolic Diseases Knowledge Portal @AMP_CMDKP]

🚨 Be the FIRST to see what’s new in CMDKP 🚨
Join us Thursday, April 9th from 12–1 PM ET for an exclusive first look at:
🔍 New data, features, and tools
💡 Insights into what we built and why it matters
💬 Ask questions live
Register: https://t.co/efN2lcpwTU

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

‼️Unable to join today's #CFDE Webinar?

🎙️Noël Burtt showcased the CFDE REVEAL (https://t.co/nHQSQZDzSn): AI enhanced natural language query of novel disease mechanisms.

💻The recording is live: https://t.co/SwywbsyXlJ

[Common Fund Data Ecosystem Knowledge Center @CFDEKC]

🧬 Are you in human genetics?
🎙️ Join us at ‼️1 PM ET TODAY‼️ for the #CFDE #PublicWebinarSeries
👩‍🔬 Learn about our new CFDE REVEAL tool & exciting opportunities to connect in-person with our team
💻 Register: https://t.co/HUazvk8XBF