UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Investigation of the genetic association between quantitative measures of psychosis and schizophrenia: a polygenic risk score analysis

Derks, EM; Vorstman, JA; Ripke, S; Kahn, RS; Schizophrenia Psychiatric Genomic, C; Ophoff, RA; (2012) Investigation of the genetic association between quantitative measures of psychosis and schizophrenia: a polygenic risk score analysis. PLoS One , 7 , Article e37852. 10.1371/journal.pone.0037852. Green open access

[img]
Preview
PDF
journal.pone.0037852.pdf

Download (260kB)

Abstract

The presence of subclinical levels of psychosis in the general population may imply that schizophrenia is the extreme expression of more or less continuously distributed traits in the population. In a previous study, we identified five quantitative measures of schizophrenia (positive, negative, disorganisation, mania, and depression scores). The aim of this study is to examine the association between a direct measure of genetic risk of schizophrenia and the five quantitative measures of psychosis. Estimates of the log of the odds ratios of case/control allelic association tests were obtained from the Psychiatric GWAS Consortium (PGC) (minus our sample) which included genome-wide genotype data of 8,690 schizophrenia cases and 11,831 controls. These data were used to calculate genetic risk scores in 314 schizophrenia cases and 148 controls from the Netherlands for whom genotype data and quantitative symptom scores were available. The genetic risk score of schizophrenia was significantly associated with case-control status (p<0.0001). In the case-control sample, the five psychosis dimensions were found to be significantly associated with genetic risk scores; the correlations ranged between.15 and.27 (all p<.001). However, these correlations were not significant in schizophrenia cases or controls separately. While this study confirms the presence of a genetic risk for schizophrenia as categorical diagnostic trait, we did not find evidence for the genetic risk underlying quantitative schizophrenia symptom dimensions. This does not necessarily imply that a genetic basis is nonexistent, but does suggest that it is distinct from the polygenic risk score for schizophrenia.

Type: Article
Title: Investigation of the genetic association between quantitative measures of psychosis and schizophrenia: a polygenic risk score analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0037852
Publisher version: http://dx.doi.org/10.1371/journal.pone.0037852
Language: English
Additional information: Corrected Supplementary File 1 can be found at: http://dx.doi.org/10.1371/annotation/6ff0353a-cc91-4d12-896a-d1de0dcb0fe0.s001.cn Corrected Supplementary File 2 can be found at: http://dx.doi.org/10.1371/annotation/6ff0353a-cc91-4d12-896a-d1de0dcb0fe0.s002.cn © 2012 Derks et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health > ICH Genetics and Genomic Medicine Prog
URI: https://discovery.ucl.ac.uk/id/eprint/1395489
Downloads since deposit
237Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item