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The relationship between polygenic risk scores and cognition in schizophrenia

Richards, Alexander, Pardinas, Antonio, Frizzati, Aura, Tansey, Katherine, Lynham, Amy, Holmans, Peter, Legge, Sophie, Savage, Jeanna, Agartz, Ingrid, Andreassen, Ole, Blokland, Gabriella, Corvin, Aiden, Cosgrove, Donna, Degenhardt, Franzoska, Djurovic, Srdjan, Espeseth, Thomas, Ferraro, Laura, Gayer-Anderson, Charlotte, Giegking, Ina, van Haren, Neeltje, Hartmann, Annette, Hubert, John, Jonsson, Erik, Konte, Bettina, Lennertz, Leonhard, Olde Loohuis, Loes, Melle, Ingrid, Morgan, Craig, Morris, Derek, Murray, Robin, Nyman, Håkan, Ophoff, Roel, van Os, Jim, Petryshen, Tracey, Quattrone, Diego, Rietschel, Marcella, Rujescu, Dan, Ruttan, Bart, Streit, Fabin, Strohmaier, Janna, Sullivan, Patrick, Sundet, Kjetil, Wagner, MIchael, Escott-Price, Valentina, Owen, Michael, Donohoe, Gary, O'Donovan, Michael, Walters, James, Schizophrenia Working Group of the Psychiatric Genomics Consorti, and EUGEI WP2 Group, 2019. The relationship between polygenic risk scores and cognition in schizophrenia. Schizophrenia Bulletin 10.1093/schbul/sbz061

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Abstract

Background Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have examined associations between these PRS and cognitive phenotypes within schizophrenia cases. Methods We combined genetic and cognitive data in 3034 schizophrenia cases from 11 samples using the general intelligence factor g as the primary measure of cognition. We used linear regression to examine the association between cognition and PRS for EA, IQ, schizophrenia, BD, and MDD. The results were then meta-analyzed across all samples. A genome-wide association studies (GWAS) of cognition was conducted in schizophrenia cases. Results PRS for both population IQ (P = 4.39 × 10–28) and EA (P = 1.27 × 10–26) were positively correlated with cognition in those with schizophrenia. In contrast, there was no association between cognition in schizophrenia cases and PRS for schizophrenia (P = .39), BD (P = .51), or MDD (P = .49). No individual variant approached genome-wide significance in the GWAS. Conclusions Cognition in schizophrenia cases is more strongly associated with PRS that index cognitive traits in the general population than PRS for neuropsychiatric disorders. This suggests the mechanisms of cognitive variation within schizophrenia are at least partly independent from those that predispose to schizophrenia diagnosis itself. Our findings indicate that this cognitive variation arises at least in part due to genetic factors shared with cognitive performance in populations and is not solely due to illness or treatment-related factors, although our findings are consistent with important contributions from these factors.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Medicine
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Publisher: Oxford University Press
ISSN: 0586-7614
Funders: MRC
Date of First Compliant Deposit: 28 May 2019
Date of Acceptance: 11 May 2019
Last Modified: 11 Sep 2019 07:48
URI: http://orca-mwe.cf.ac.uk/id/eprint/122847

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