Broad/MGH preprint models inherited variation effects on disease trajectories using longitudinal EHRs
anshulkundaje · x · 2026-11-15
A preprint on medRxiv led by Sarah Urbut and Alexander Gusev (Broad Institute, Mass General Hospital) presents refined risk stratification for people with strong monogenic or polygenic disease predispositions.
- The method models age-dependent effects alongside longitudinal electronic health records to capture how inherited variation shapes disease trajectories over time.
- Author list includes genetics heavyweights Heidi Rehm, Patrick Ellinor, Pradeep Natarajan and Giovanni Parmigiani — a statistics-genetics meets clinical big-data crossover work.
More from Research
- Curated 10-resource path to learn LLM distributed training from scratch — East-Muffin-6472 · 2026-11-15
- Adding random noise during training improves alignment generalization, paper claims — Sauers_ · 2026-11-15
- Llama 405B Base Model Natively Mimics o1's Chain-of-Thought from 128 Pages of Context — Sauers_ · 2026-11-15
- Magic claims >10x more efficient pretraining, matching DeepSeek V4 Base for ~$0.5M — oran_ge · 2026-11-15
- OpenDS-World benchmark: best of 12 frontier models solves only 39% of real-web deep research tasks — jiqizhixin · 2026-11-15
- Cross-cultural Study: Children's Language Acquisition Happens Mostly in Multiparty Talk — abenitezburraco · 2026-11-15