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. 2018 Sep 26;8(1):204.
doi: 10.1038/s41398-018-0229-0.

Genetic Risk for Schizophrenia and Autism, Social Impairment and Developmental Pathways to Psychosis

Collaborators, Affiliations
Free PMC article

Genetic Risk for Schizophrenia and Autism, Social Impairment and Developmental Pathways to Psychosis

Eva Velthorst et al. Transl Psychiatry. .
Free PMC article

Abstract

While psychotic experiences (PEs) are assumed to represent psychosis liability, general population studies have not been able to establish significant associations between polygenic risk scores (PRS) and PEs. Previous work suggests that PEs may only represent significant risk when accompanied by social impairment. Leveraging data from the large longitudinal IMAGEN cohort, including 2096 14-year old adolescents that were followed-up to age 18, we tested whether the association between polygenic risk and PEs is mediated by (increasing) impairments in social functioning and social cognitive processes. Using structural equation modeling (SEM) for the subset of participants (n = 643) with complete baseline and follow-up data, we examined pathways to PEs. We found that high polygenic risk for schizophrenia (p = 0.014), reduced brain activity to emotional stimuli (p = 0.009) and social impairments in late adolescence (p < 0.001; controlling for functioning in early adolescence) each independently contributed to the severity of PEs at age 18. The pathway between polygenic risk for autism spectrum disorder and PEs was mediated by social impairments in late adolescence (indirect pathway; p = 0.025). These findings point to multiple direct and indirect pathways to PEs, suggesting that different processes are in play, depending on genetic loading, and environment. Our results suggest that treatments targeting prevention of social impairment may be particularly promising for individuals at genetic risk for autism in order to minimize risk for psychosis.

Conflict of interest statement

T.B. has served as an advisor or consultant to Bristol-Myers Squibb, Desitin Arzneimittel, Eli Lilly, Medice, Novartis, Pfizer, Shire, UCB, and Vifor Pharma; he has received conference attendance support, conference support, or speaking fees from Eli Lilly, Janssen McNeil, Medice, Novartis, Shire, and UCB; and he is involved in clinical trials conducted by Eli Lilly, Novartis, and Shire; the present work is unrelated to these relationships. H.W. received a speaker honorarium from Servier (2014). The remaining authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1. Brain regions involved in processing social (cognitive) information.
An automatic meta-analysis using NeuroSynth identified a network ofregions involved in social processing. This network overlaps with the Default Mode Network, and includedthe dorsomedial and ventromedial prefrontal cortex, precuneus, temporal pole, and amygdala. Activity inthese regions during processing of faces was examined, and used as a predictor of psychotic experiences
Fig. 2
Fig. 2. Final path model.
Associations between the observed variables are represented by straight arrow lines. The double-headed arrow represents covariance between the two polygenic risk scores. Information about all coefficients and co-variances can be found in the supplementary figure. **p < 0.01, *p < 0.05. ASD autism spectrum disorder, SCZ schizophrenia

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