The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia.
bioinformatics
genomics
intelligence
psychiatry
Journal
Schizophrenia bulletin
ISSN: 1745-1701
Titre abrégé: Schizophr Bull
Pays: United States
ID NLM: 0236760
Informations de publication
Date de publication:
26 02 2020
26 02 2020
Historique:
pubmed:
18
6
2019
medline:
9
2
2021
entrez:
18
6
2019
Statut:
ppublish
Résumé
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. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 31206164
pii: 5519548
doi: 10.1093/schbul/sbz061
pmc: PMC7442352
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
336-344Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0801418
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0800509
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/P005748/1
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH085801
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH109514
Pays : United States
Organisme : Medical Research Council
ID : MR/L023784/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L010305/1
Pays : United Kingdom
Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.
Références
JAMA Psychiatry. 2018 Jan 1;75(1):28-35
pubmed: 29167880
Psychol Med. 2019 Jun;49(8):1378-1391
pubmed: 30282569
Schizophr Res. 2015 Apr;163(1-3):73-9
pubmed: 25682549
Nat Genet. 2014 Feb;46(2):100-6
pubmed: 24473328
JAMA Psychiatry. 2014 Jun;71(6):647-56
pubmed: 24718902
Br J Psychiatry. 1995 Dec;167(6):786-93
pubmed: 8829748
Nat Genet. 2018 Mar;50(3):381-389
pubmed: 29483656
Am J Hum Genet. 2008 Jul;83(1):132-5; author reply 135-9
pubmed: 18606306
PLoS Med. 2015 Mar 31;12(3):e1001779
pubmed: 25826379
JAMA Psychiatry. 2016 Sep 1;73(9):963-969
pubmed: 27602560
J Cogn Neurosci. 2015 Sep;27(9):1766-74
pubmed: 25961639
Mol Psychiatry. 2016 Nov;21(11):1624-1632
pubmed: 26809841
Neuropsychology. 1998 Jul;12(3):426-45
pubmed: 9673998
Int J Methods Psychiatr Res. 2012 Sep;21(3):205-21
pubmed: 22419500
Am J Psychiatry. 2008 Feb;165(2):214-20
pubmed: 18172018
Brain Res Cogn Brain Res. 2000 Jan;9(1):61-71
pubmed: 10666558
J Psychiatr Res. 2016 Apr;75:91-106
pubmed: 26828372
Nature. 2009 Aug 6;460(7256):744-7
pubmed: 19571808
Psychiatry Res. 2012 Dec 30;200(2-3):144-52
pubmed: 22657952
Nat Genet. 2017 Aug;49(8):1167-1173
pubmed: 28650482
Mol Psychiatry. 2014 Feb;19(2):168-74
pubmed: 24342994
Schizophr Bull. 2016 May;42(3):832-42
pubmed: 26678674
Transl Psychiatry. 2018 Apr 12;8(1):78
pubmed: 29643358
Nat Commun. 2018 May 29;9(1):2098
pubmed: 29844566
Am J Psychiatry. 2006 Mar;163(3):418-25
pubmed: 16513862
Nat Genet. 2018 May;50(5):668-681
pubmed: 29700475
JAMA Psychiatry. 2017 Oct 1;74(10):1065-1075
pubmed: 28746715
Nature. 2014 Jul 24;511(7510):421-7
pubmed: 25056061
Schizophr Bull. 2011 Nov;37(6):1157-67
pubmed: 20351040
Schizophr Bull. 2017 May 1;43(3):654-664
pubmed: 27338279
Am J Psychiatry. 2008 Feb;165(2):203-13
pubmed: 18172019
Proc Natl Acad Sci U S A. 1967 Jul;58(1):199-205
pubmed: 5231600
Mol Psychiatry. 2020 Apr;25(4):703-705
pubmed: 30610204
Intern Med. 1998 Jun;37(6):514-8
pubmed: 9678684
J Psychiatr Res. 2010 Sep;44(12):748-53
pubmed: 20185149
Am J Hum Genet. 2011 Jan 7;88(1):76-82
pubmed: 21167468
Psychol Med. 2013 Dec;43(12):2563-70
pubmed: 23410598
Genes Brain Behav. 2018 Jan;17(1):49-55
pubmed: 28719030
Schizophr Res. 2011 Nov;132(2-3):220-7
pubmed: 21764562
Bioinformatics. 2010 Sep 1;26(17):2190-1
pubmed: 20616382
Nat Genet. 2018 Aug;50(8):1112-1121
pubmed: 30038396
Nat Genet. 2019 May;51(5):793-803
pubmed: 31043756
Schizophr Res. 2014 Sep;158(1-3):134-41
pubmed: 25034761
Nature. 2009 Aug 6;460(7256):748-52
pubmed: 19571811
J Psychiatry Neurosci. 2018 Jul;43(4):245-253
pubmed: 29947606
Nat Genet. 2018 Jul;50(7):912-919
pubmed: 29942086
Psychol Med. 2017 Oct;47(14):2421-2437
pubmed: 28436345
Transl Psychiatry. 2015 Oct 13;5:e656
pubmed: 26460480
Expert Rev Neurother. 2010 Jan;10(1):43-57
pubmed: 20021320
Arch Gen Psychiatry. 1990 Jun;47(6):589-93
pubmed: 2190539
Harv Rev Psychiatry. 2007 Sep-Oct;15(5):245-58
pubmed: 17924259
Schizophr Bull. 2014 Nov;40(6):1404-11
pubmed: 24903414
Am J Psychiatry. 2012 Dec;169(12):1309-17
pubmed: 23212062