Simões, Beatriz, Vassos, Evangelos, Shergill, Sukhi S., McDonald, Colm, Toulopoulou, Timothea, Kalidindi, Sridevi, Kane, Fergus, Murray, Robin, Bramon, Elvira, Ferreira, Hugo, and others. (2019) Schizophrenia polygenic risk score influence on white matter microstructure. Journal of psychiatric research, 121 . pp. 62-67. ISSN 0022-3956. (doi:10.1016/j.jpsychires.2019.11.011) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:96384)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
| Official URL: https://doi.org/10.1016/j.jpsychires.2019.11.011 |
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are highly heritable, share symptomatology, and have a polygenic architecture. The impact of recent polygenic risk scores (PRS) for psychosis, which combine multiple genome-wide associated risk variations, should be assessed on heritable brain phenotypes also previously associated with the illnesses, for a better understanding of the pathways to disease. We have recently reported on the current SZ PRS's ability to predict 1st episode of psychosis case-control status and general cognition. Herein, we test its penetrance on white matter microstructure, which is known to be impaired in SZ, in BD and their relatives, using 141 participants (including SZ, BP, relatives of SZ or BP patients, and healthy volunteers), and two white matter integrity indexes: fractional anisotropy (FA) and mean diffusivity (MD). No significant correlation between the SZ PRS and FA or MD was found, thus it remains unclear whether white matter changes are primarily associated with SZ genetic risk profiles.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1016/j.jpsychires.2019.11.011 |
| Additional information: | This study represents independent research partially funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. DP was supported, during data collection, by Fundação para a Ciência e Tecnologia (FCT) fellowship SFRH/BD/12394/2003 and NIHR grant PDF-2010-03-047, and during analysis and write-up, by an European Commission Marie Curie Career Integration grant (FP7-PEOPLE-2013- CIG-631952), FCT grants (IF/00787/2014, LISBOA-01-0145-FEDER- 030907 and DSAIPA/DS/0065/2018), an iMM Lisboa Director's Fund Breakthrough Idea Grant (2016), and the Bial Foundation Psychophysiology Grant (2016, Ref. 292/16), and is co-founder of NeuroPsyAI, Ltd |
| Uncontrolled keywords: | Bipolar disorder, Diffusion tensor imaging, Fractional anisotropy, Genome-wide association, GWA, Mean diffusivity, Polygenic risk score, PRS, Psychosis, Schizophrenia, White matter |
| Subjects: | R Medicine |
| Divisions: | Divisions > Division of Natural Sciences > Kent and Medway Medical School |
| Depositing User: | Rachael Heller |
| Date Deposited: | 29 Sep 2022 09:04 UTC |
| Last Modified: | 05 Nov 2024 13:01 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/96384 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Shergill, Sukhi S..
| Creator's ORCID: |
 https://orcid.org/0000-0003-4928-9100
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