Background: The value of the nosological distinction between non-affective and affective psychosis has consistently been challenged. Indeed, psychotic syndromes arecomposed of dimensions of psychopathology cutting acrossdiagnostic boundaries. Such transdiagnostic symptom dimensions might be enhanced phenotypes to test for association with common genetic variants for Major Mental Disorders (MMDs) as summarized by Polygenic Risk Scores (PRSs)for Schizophrenia (SZ), Bipolar Disorder (BP), and Major Depressive Disorder (MDD).The objectives of this study were to: 1) identify the symptom dimension structure at First Episode Psychosis (FEP); 2)examine the extent to which MMDs PRSs explain the phenotypic variance due to symptom dimensions.Methods: OPCRIT psychopathology items were analysed using multidimensional item response modelling in Mplus toestimate unidimensional, multidimensional, and bi-factormodels of psychosis. Model fit statistics included LogLikelihood, and Akaike and Bayesian Information Criteria tocompare these models.SZ, BP, and MDD PRSs were built using the results fromlarge mega-analyses from the Working Groups of the Psychiatric Genomics Consortium. In PRSice, individuals’ numberof risk alleles in the target sample was weighted by the logodds ratio from the discovery samples, and summed into thethree PRSs for SZ, BP, and MDD. These PRSs were calculatedat a fixed 0.05 P-value SNP threshold.Regression models were fitted to predict symptom dimensions’ scores as continuous outcomes from the three PRSs.These model, conducted in STATA14, were adjusted for age,gender, and 20 principal components for population stratification.Results: The best model fit statistics was observed forthe bi-factor model including one general and five specificdimensions of positive, negative, disorganization, manicand depressive symptoms. A positive linear associationwas observed between SZ PRS and the positive dimension t(789)=2.04, p<0.05); and between BIP PRS and themanic dimension t(789)=2.46, p<0.05). A negative association was observed between MDD PRS and the manic dimension t(789)=2.14, p<0.05).Discussion: Our results suggest that: a) the symptom dimension structure at FEP is best represented by the bi-factormodel; b) positive symptoms are more common among FEPpatients with a high SZ PRS; c) manic symptoms are morecommon in FEP patients with a high BP PRS, and less common in FEP patients with high MDD PRS; c) no associationswere observed between PRSs and the general dimension.Despite the need to both replicate these findings also using PGC new released GWAS to build better powered PRSs,psychosis symptom dimensions have been shown to be useful and valid enhanced phenotypes across the psychosisspectrum.
|Numero di pagine||1|
|Stato di pubblicazione||Published - 2019|