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An Examination of Polygenic Score Risk Prediction in Individuals with First Episode Psychosis
,
Jonathan Coleman,
Conrad Iyegbe,
Diana Prata,
Jack Euesden,
Paul O’Reilly,
Charles Curtis,
Anna Kolliakou,
Hamel Patel,
Stephen Newhouse,
Matthew Traylor,
Oleysa Ajnakina,
Valeria Mondelli ,
Tiago Reis Marques
and other authors.
Abstract
Background Polygenic risk scores (PRS) have successfully summarized genome-wide effects of genetic variants in schizophrenia with significant predictive power. In a clinical sample of first-episode psychosis (FEP) patients we estimated the ability of PRS to discriminate case-control status and predict the development of schizophrenia as opposed to other psychoses. Methods The sample (445 cases and 265 controls) was genotyped on the Illumina HumanCore Exome BeadChip with an additional 828 controls of African ancestry genotyped on the Illumina MEGA array. To calculate PRS, we used the results from the latest Psychiatric Genomics Consortium (PGC2) schizophrenia meta-analysis. We examined the association of PRS with case-control status and with schizophrenia versus other psychoses in European and African ancestry FEP and in a second sample of 248 cases with chronic psychosis. Results PRS had good discriminative ability of case-control status in FEP European ancestry individuals (9.4% of the variance explained, p