Davey Smith, George

Dimitriadis, Stavros L.

Hall, J.

Holmans, P

Jones, Derek K.

Lancaster, Thomas

Linden, DE

O'Donovan, Michael C

Owen, MJ

Perry, Gavin

Pocklington, Andrew

Singh, Khuraijam Dhanachandra

Tansey, Katherine

Zammit, Stanley

English

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 <br/

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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

https://research-information.bris.ac.uk/files/346693187/bhac256.pdf

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

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