TY - JOUR
T1 - The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia
AU - Richards, Alexander L.
AU - Pardiñas, Antonio F.
AU - Frizzati, Aura
AU - Tansey, Katherine E.
AU - Lynham, Amy J.
AU - Holmans, Peter
AU - Legge, Sophie E.
AU - Savage, Jeanne E.
AU - Agartz, Ingrid
AU - Andreassen, Ole A.
AU - Blokland, Gabriella A.M.
AU - Corvin, Aiden
AU - Cosgrove, Donna
AU - Degenhardt, Franziska
AU - Djurovic, Srdjan
AU - Espeseth, Thomas
AU - Ferraro, Laura
AU - Gayer-Anderson, Charlotte
AU - Giegling, Ina
AU - Van Haren, Neeltje E.
AU - Hartmann, Annette M.
AU - Hubert, John J.
AU - Jönsson, Erik G.
AU - Konte, Bettina
AU - Lennertz, Leonhard
AU - Loohuis, Loes M.Olde
AU - Melle, Ingrid
AU - Morgan, Craig
AU - Morris, Derek W.
AU - Murray, Robin M.
AU - Nyman, Håkan
AU - Ophoff, Roel A.
AU - Van Ose, Jim
AU - Van Os, Jim
AU - Van Osk, Jim
AU - Bloklande, Gabriella A.M.
AU - Petryshen, Tracey L.
AU - Quattrone, Diego
AU - Rietschel, Marcella
AU - Rujescu, Dan
AU - Rutten, Bart P.F.
AU - Streit, Fabian
AU - Strohmaier, Jana
AU - Sullivan, Patrick F.
AU - Sundet, Kjetil
AU - Wagner, Michael
AU - Escott-Price, Valentina
AU - Owen, Michael J.
AU - Donohoe, Gary
AU - O'Donovan, Michael C.
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
KW - Bioinformatics
KW - Genomics
KW - Intelligence
KW - Psychiatry
KW - bioinformatics
KW - genomics
KW - psychiatry
KW - intelligence
KW - Genome-Wide Association Study
KW - Datasets as Topic
KW - Humans
KW - Intelligence/genetics
KW - Educational Status
KW - Multifactorial Inheritance
KW - Depressive Disorder, Major/genetics
KW - Bipolar Disorder/genetics
KW - Psychotic Disorders/genetics
KW - Schizophrenia/genetics
UR - http://www.scopus.com/inward/record.url?scp=85070806670&partnerID=8YFLogxK
U2 - 10.1093/schbul/sbz061
DO - 10.1093/schbul/sbz061
M3 - Article
C2 - 31206164
SN - 0586-7614
VL - 46
SP - 336
EP - 344
JO - Schizophrenia Bulletin
JF - Schizophrenia Bulletin
IS - 2
ER -