Hear from Emily Griffin, from the Gaulton Lab at UCSD, who will present on T1GRS: A Machine Learning Model for Determining T1D Risk and Heterogeneity
📆 June 25th, 2026
⏰ 12-1 PM ET
Top 3 questions T1GRS can answer:
- How is an individual’s T1D risk shaped by the full landscape of T1D-associated variants?
- How do interactions between risk variants improve identification of at-risk individuals?
- How can we use genetic risk profiles to identify disease heterogeneity with real differences in clinical outcomes?
md, cvd, cd, sleep, t1d, t2d, lung, nage, msk, a2f, kidney, aging
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