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The heritability of reinforcement learning parameters and their association with anxiety

Tim KerriD, Kirstin Lee PurvesiD, Thomas McGregoriD, Tom Joseph BarryiD, Kathryn J. LesteriD, Oliver Joe RobinsoniD, Thalia Catherine EleyiD

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Abstract

Impaired learning that both novel and previously dangerous stimuli are safe (safety and extinction learning, respectively) are long standing, robust, and heritable features of anxiety disorders, representing potential endophenotypes. The computational mechanisms underpinning them have demonstrated associations with anxiety severity in recent studies. We undertook a pre-registered replication in a tenfold larger independent sample of twins (n = 925). Extinction learning rates were associated with anxiety severity ({rho}replication = -0.14, BFr0 = 1189. 67) but safety learning rates were not. Conversely, although safety learning rates showed modest heritability (h2safety = 0.16), extinction learning rates were not heritable. Accordingly, we were unable to identify genetic overlap between anxiety and either learning rate. Although this suggests neither learning rate is an anxiety endophenotype, we confirmed a cognitive-behavioral mechanism underpinning a robust marker of anxiety severity. Furthermore, we demonstrated heritability of a computationally modelled learning parameter, a key step towards establishing its biological basis.

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Tim Kerr, Kirstin Lee Purves, Thomas McGregor+7 more·Computational Psychiatry·Jan 21, 2026· 1 citations