Identifying schizophrenia patients who carry pathogenic genetic copy number variants using standard clinical assessment: retrospective cohort study

Foley, Claire, Heron, Elizabeth A., Harold, Denise, Walters, James ORCID: https://orcid.org/0000-0002-6980-4053, Owen, Michael ORCID: https://orcid.org/0000-0003-4798-0862, O'Donovan, Michael ORCID: https://orcid.org/0000-0001-7073-2379, Sebat, Jonathan, Kelleher, Eric, Mooney, Christina, Durand, Amy, Pinto, Carlos, Cormican, Paul, Morris, Derek, Donohoe, Gary, Gill, Michael, Gallagher, Louise and Corvin, Aiden 2020. Identifying schizophrenia patients who carry pathogenic genetic copy number variants using standard clinical assessment: retrospective cohort study. British Journal of Psychiatry 216 (5) , pp. 275-279. 10.1192/bjp.2019.262

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Abstract

Background Copy number variants (CNVs) play a significant role in disease pathogenesis in a small subset of individuals with schizophrenia (~2.5%). Chromosomal microarray testing is a first-tier genetic test for many neurodevelopmental disorders. Similar testing could be useful in schizophrenia. Aims To determine whether clinically identifiable phenotypic features could be used to successfully model schizophrenia-associated (SCZ-associated) CNV carrier status in a large schizophrenia cohort. Method Logistic regression and receiver operating characteristic (ROC) curves tested the accuracy of readily identifiable phenotypic features in modelling SCZ-associated CNV status in a discovery data-set of 1215 individuals with psychosis. A replication analysis was undertaken in a second psychosis data-set (n = 479). Results In the discovery cohort, specific learning disorder (OR = 8.12; 95% CI 1.16–34.88, P = 0.012), developmental delay (OR = 5.19; 95% CI 1.58–14.76, P = 0.003) and comorbid neurodevelopmental disorder (OR = 5.87; 95% CI 1.28–19.69, P = 0.009) were significant independent variables in modelling positive carrier status for a SCZ-associated CNV, with an area under the ROC (AUROC) of 74.2% (95% CI 61.9–86.4%). A model constructed from the discovery cohort including developmental delay and comorbid neurodevelopmental disorder variables resulted in an AUROC of 83% (95% CI 52.0–100.0%) for the replication cohort. Conclusions These findings suggest that careful clinical history taking to document specific neurodevelopmental features may be informative in screening for individuals with schizophrenia who are at higher risk of carrying known SCZ-associated CNVs. Identification of genomic disorders in these individuals is likely to have clinical benefits similar to those demonstrated for other neurodevelopmental disorders.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Publisher:	Cambridge University Press (CUP)
ISSN:	0007-1250
Date of First Compliant Deposit:	18 February 2020
Date of Acceptance:	22 November 2019
Last Modified:	21 Nov 2024 17:15
URI:	https://orca.cardiff.ac.uk/id/eprint/129803

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