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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 Bramon
Published 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.
Keyphrases
  • genome wide
  • copy number
  • bipolar disorder
  • genome wide identification
  • white matter
  • gene expression
  • dna methylation
  • resting state
  • data analysis