Genetic risk for schizophrenia is associated with increased proportion of indirect connections in brain networks revealed by a semi-metric analysis: evidence from population sample stratified for polygenic risk

Dimitriadis, S. I. ORCID: https://orcid.org/0000-0002-0000-5392, Perry, G. ORCID: https://orcid.org/0000-0003-0468-0421, Lancaster, T. M. ORCID: https://orcid.org/0000-0003-1322-2449, Tansey, K. E, Singh, K. D ORCID: https://orcid.org/0000-0002-3094-2475, Holmans, P. ORCID: https://orcid.org/0000-0003-0870-9412, Pocklington, A. ORCID: https://orcid.org/0000-0002-2137-0452, Davey Smith, G., Zammit, S. ORCID: https://orcid.org/0000-0002-2647-9211, Hall, J. ORCID: https://orcid.org/0000-0003-2737-9009, O'Donovan, M. C ORCID: https://orcid.org/0000-0001-7073-2379, Owen, M. J ORCID: https://orcid.org/0000-0003-4798-0862, Jones, D. K. ORCID: https://orcid.org/0000-0003-4409-8049 and Linden, D. E ORCID: https://orcid.org/0000-0002-5638-9292 2023. Genetic risk for schizophrenia is associated with increased proportion of indirect connections in brain networks revealed by a semi-metric analysis: evidence from population sample stratified for polygenic risk. Cerebral Cortex 33 (6) , pp. 2997-3011. 10.1093/cercor/bhac256

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Research studies based on tractography have revealed a prominent reduction of asymmetry in some key white-matter tracts in schizophrenia (SCZ). However, we know little about the influence of common genetic risk factors for SCZ on the efficiency of routing on structural brain networks (SBNs). Here, we use a novel recall-by-genotype approach, where we sample young adults from a population-based cohort (ALSPAC:N genotyped = 8,365) based on their burden of common SCZ risk alleles as defined by polygenic risk score (PRS). We compared 181 individuals at extremes of low (N = 91) or high (N = 90) SCZ-PRS under a robust diffusion MRI-based graph theoretical SBN framework. We applied a semi-metric analysis revealing higher SMR values for the high SCZ-PRS group compared with the low SCZ-PRS group in the left hemisphere. Furthermore, a hemispheric asymmetry index showed a higher leftward preponderance of indirect connections for the high SCZ-PRS group compared with the low SCZ-PRS group (PFDR < 0.05). These findings might indicate less efficient structural connectivity in the higher genetic risk group. This is the first study in a population-based sample that reveals differences in the efficiency of SBNs associated with common genetic risk variants for SCZ.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Cardiff University Brain Research Imaging Centre (CUBRIC) Medicine Neuroscience and Mental Health Research Institute (NMHRI) Psychology
Publisher:	Oxford University Press
ISSN:	1047-3211
Funders:	MRC, Wellcome Trust
Date of First Compliant Deposit:	8 June 2022
Date of Acceptance:	31 May 2022
Last Modified:	23 Jul 2024 15:51
URI:	https://orca.cardiff.ac.uk/id/eprint/150305

Actions (repository staff only)

Edit Item