Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis.
Baihan WangHaritz IrizarJohan H ThygesenEirini ZartaloudiIsabelle Austin-ZimmermanAnjali BhatJasmine Harju-SeppänenOliver PainNick BassVasiliki GkofaBehrooz Z AlizadehTherese van AmelsvoortMaria J ArranzStephan BenderWiepke CahnElvira BramonBenedicto Crespo-FacorroMarta Di Fortinull nullIna GieglingLieuwe de HaanJeremy HallMei-Hua HallNeeltje van HarenConrad IyegbeRené S KahnEugenia KravaritiStephen M LawrieKuang LinJurjen J LuykxIgnacio MataColm McDonaldAndrew M McIntoshRobin M Murraynull nullMarco PicchioniJohn PowellDiana P PrataDan RujescuBart P F RuttenMadiha ShaikhClaudia J P SimonsTimothea ToulopoulouMatthias WeisbrodRuud van WinkelKaroline B KuchenbaeckerAndrew McQuillinElvira BramonPublished in: Schizophrenia bulletin (2023)
Our finding on reduced P300 amplitudes suggests that certain genetic variants alter early brain development thereby increasing schizophrenia risk years later. Gene-set-specific polygenic risk scores are a useful tool to elucidate biological mechanisms of psychosis and endophenotypes, offering leads for experimental validation in cellular and animal models.