Genetics

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https://hdl.handle.net/20.500.12213/6531

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Browsing Genetics by Author "Mohmmad M. Herzallah"

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    Predicting Serotonin Transporter Haplotypes Based on Reinforcement Learning
    (Al-Quds University, Deanship of Scientific Research, 2022-05-11) Ru'a Rimawi; Anfal Abu Hilal; Mohmmad M. Herzallah
    Background: Serotonergic neurotransmission has been implicated in risk assessment, processing of negative feedback, and encoding value and time interaction. In humans, central serotonin signals are usually inferred from naturally-occurring polymorphisms in genes that encode key proteins for the synaptic reuptake of serotonin, namely the serotonin transporter (SERT). The SERT gene has two well-studied functional polymorphisms: (1) the 5-HT transporter-linked polymorphic region (5-HTTLPR; long allele (L) = low serotonin, short allele = high serotonin), and (2) the serotonin transporter polyadenylation polymorphism (STPP; C allele = high, A allele = low serotonin).