Polygenic risk scores across the extended psychosis spectrum

Bonferroni correction Subclinical infection
DOI: 10.1038/s41398-021-01720-0 Publication Date: 2021-11-26T11:02:47Z
ABSTRACT
Abstract As early detection of symptoms in the subclinical to clinical psychosis spectrum may improve health outcomes, knowing probabilistic susceptibility developing a disorder could guide mitigation measures and intervention. In this context, polygenic risk scores (PRSs) quantifying additive effects multiple common genetic variants hold potential predict complex diseases index severity gradients. PRSs for schizophrenia (SZ) bipolar (BD) were computed using Bayesian regression continuous shrinkage priors based on latest SZ BD genome-wide association studies (Psychiatric Genomics Consortium, third release). Eight well-phenotyped groups ( n = 1580; 56% males) assessed: control 305), lower 117) higher 113) schizotypy (both healthy individuals), at-risk 120), type-I 359), type-II 96), schizoaffective 86), 384). PRS differences investigated binary traits quantitative Positive Negative Syndrome Scale. Both BD-PRS SZ-PRS significantly differentiated controls from (Nagelkerke’s pseudo- R 2 : 1.3–7.7%), except SZ-PRS. Out 28 pairwise comparisons BD-PRS, 9 12, respectively, reached Bonferroni-corrected significance. differed between groups, but not groups. There was no difference schizotypy. SZ-PRSs, BD-PRSs, positively associated with transdiagnostic symptomology. Overall, support continuum model across at genomic level possible irregularities The state demands heightened attention research addressing symptom course specifiers. Continued efforts are needed refine diagnostic prognostic accuracy mental healthcare.
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