Patient-derived Cellular Models of Polygenic Scores: Application to Long QT Syndrome

Mitchell, D.; O'Neill, M.; Vanags, L.; Patel, N.; Strickland, T.; Davogustto, G.; Shoemaker, M. B.; Salem, J.-E.; Kroncke, B. M.

doi:10.1101/2025.08.05.667271

bioRxiv · 10.1101/2025.08.05.667271

Patient-derived Cellular Models of Polygenic Scores: Application to Long QT Syndrome

Mitchell, D.·O'Neill, M.·Vanags, L.·Patel, N.·Strickland, T.·Davogustto, G.·Shoemaker, M. B.·Salem, J.-E.·Kroncke, B. M.

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Abstract

Polygenic scores (PGS) have emerged as important modifiers of disease risk, drug response, and rare variant penetrance, but the biological mechanisms underlying these associations remain poorly understood. To experimentally investigate these relationships, we derived induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) from individuals at the 1st, 50th, and 99th percentiles of a genome-wide QT interval polygenic score (QT-PGS). We examined baseline repolarization, drug response to the hERG inhibitor E4031, and penetrance of two KCNH2 variants (p.Arg148Trp and p.Arg823Trp) in these cellular models. While baseline field potential durations (FPDs) did not differ across PGS levels, high-PGS iPSC-CMs showed exaggerated prolongation in response to E4031 and increased phenotypic expression of both KCNH2 variants. These findings provide the first experimental demonstration that polygenic background can shape cardiac electrophysiologic phenotypes and modulate the functional impact of both pharmacologic and genetic perturbations. This work establishes a scalable platform for mechanistic studies of polygenic risk.

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Mitchell, D., O'Neill, M., Vanags, L., Patel, N., Strickland, T., Davogustto, G., Shoemaker, M. B., Salem, J.-E., Kroncke, B. M.. 2025-08-07. Patient-derived Cellular Models of Polygenic Scores: Application to Long QT Syndrome. https://doi.org/10.1101/2025.08.05.667271

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