Scalable generation and functional classification of genetic variants in inborn errors of immunity to accelerate clinical diagnosis and treatment
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ABSTRACT: Next-generation sequencing is pivotal for diagnosing inborn errors of immunity (IEI) but predominantly yields variants of uncertain significance (VUS), creating clinical ambiguity. Activated-PI3Kδ syndrome (APDS) is caused by gain-of-function (GOF) variants in PIK3CD or PIK3R1, which encode the PI3Kδ heterodimer. We performed massively parallel base-editing of PIK3CD/PIK3R1 in human T-cells and mapped thousands of variants to a clinically important readout (phospho-AKT/S6), nominating >100 VUS and unannotated variants for functional classification, and validated 27 hits. Leniolisib, an FDA-approved PI3Kδ-inhibitor, rescued aberrant signaling and dysfunction in GOF-harboring T-cells, and revealed partially drug-resistant PIK3R1 hotspots that responded to novel combination therapies of Leniolisib with mTORC1/2-inhibition. We confirmed these findings in T-cells from APDS patients spanning the functional spectrum discovered in the screen. Integrating our screens with population-level genomic studies revealed that APDS may be more prevalent than previously estimated. This work exemplifies a broadly applicable framework for removing ambiguity from sequencing in IEI.
ORGANISM(S): Homo sapiens
PROVIDER: GSE298853 | GEO | 2025/06/05
REPOSITORIES: GEO
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