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Artificial Intelligence

A quantitative model of a phenotypically variable genetic defect.

| Source: Proceedings of the National Academy of Sciences of the United States of America

Phenotypic variability is a hallmark of human disease. It results from a combination of genetic modifiers, environment, and stochastic effects, but their contributions are hard to disentangle. Here, we establish the specification of terminal cells in the Drosophila tracheal system as a model for phenotypic variability and phenotypic emergence in Mendelian disorders. By perturbing Fibroblast growth factor (FGF) ligand dosage, which leads to a loss of terminal cells, we find that both microenviron

Phenotypic variability is a hallmark of human disease. It results from a combination of genetic modifiers, environment, and stochastic effects, but their contributions are hard to disentangle. Here, we establish the specification of terminal cells in the Drosophila tracheal system as a model for phenotypic variability and phenotypic emergence in Mendelian disorders. By perturbing Fibroblast growth factor (FGF) ligand dosage, which leads to a loss of terminal cells, we find that both microenvironmental and stochastic effects contribute to variability in terminal cell specification. We demonstrate that the phenotype results from reduced Ras-ERK signaling and use live imaging to identify molecular and morphological features of successful and failed terminal cell specification. Finally, using liability-threshold modeling, we quantify the relative magnitudes of genetic perturbations, microenvironmental effects, and stochasticity, establishing a strategy for dissecting the origins of phenotypic variability.

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