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Open access Oct 2026

Generalizability of proteomic risk prediction across biobanks reveals dependence on phenotype definitions

Advances in high-throughput proteomics technologies have enabled the assessment of dynamic health states across biobank-scale cohorts. Disease prediction models built on these data have higher accuracy than baseline clinical models for a broad range of diseases, and provide avenues to understand disease pathogenesis. H...

S. Parsa, Y. Jee, M. Argentieri et al. · 0 citations
Open access Sep 2026

A founder population reveals genetic variation with major effect on serious mental illness

Genetic studies of serious mental illness (SMI, including schizophrenia and bipolar disorder) have implicated two classes of risk variant: common variants1-3, each of small effect but collectively accounting for most population-level risk, and ultra-rare coding variants4,5 which confer large risk in a small number of i...

Greta Gerdes, V. Tozzo, S. Service et al. · 0 citations

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