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Chunk #40 — PRS Application: The example of Schizophrenia — Psychiatric disorders and traits (Table 2):

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Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences.
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(e.g., R2=.47% for SCZ-PRS and ever using cannabis), thus challenging prior causal assertions and providing a new outlook on this relationship that was not possible to query with twin data (Power et al., 2014, Carey et al., 2016a, Verweij et al., 2017, Reginsson et al., 2017, Aas et al., 2017). Within the longitudinal framework, the correlation between SCZ-PRS and psychiatric traits (ADD, ODD/CD, Anxiety and Depression) increases from 0.10 at age 6–7 to 0.25 by age 16 (Nivard et al., 2017). This application of PRS for a clinically uncommon and severe discovery phenotype (i.e., SCZ) to a general population sample of longitudinally evaluated youth highlights the important role that PRS analyses play in bridging clinical psychiatry with developmental psychology and behavioral genetic research that was largely unattainable using latent genetic models of uncommon disorders (e.g., SCZ). One of the largest studies evaluating SCZ-PRS among other traits shows that it predicts a small amount of variance in neuroticism (0.12%) (Gale et al., 2016).