Assessing the association between global structural brain age and polygenic risk for schizophrenia in early adulthood : A recall-by-genotype study

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved..

Neuroimaging studies consistently show advanced brain age in schizophrenia, suggesting that brain structure is often 'older' than expected at a given chronological age. Whether advanced brain age is linked to genetic liability for schizophrenia remains unclear. In this pre-registered secondary data analysis, we utilised a recall-by-genotype approach applied to a population-based subsample from the Avon Longitudinal Study of Parents and Children to assess brain age differences between young adults aged 21-24 years with relatively high (n = 96) and low (n = 93) polygenic risk for schizophrenia (SCZ-PRS). A global index of brain age (or brain-predicted age) was estimated using a publicly available machine learning model previously trained on a combination of region-wise gray-matter measures, including cortical thickness, surface area and subcortical volumes derived from T1-weighted magnetic resonance imaging (MRI) scans. We found no difference in mean brain-PAD (the difference between brain-predicted age and chronological age) between the high- and low-SCZ-PRS groups, controlling for the effects of sex and age at time of scanning (b = -.21; 95% CI -2.00, 1.58; p = .82; Cohen's d = -.034; partial R2 = .00029). These findings do not support an association between SCZ-PRS and brain-PAD based on global age-related structural brain patterns, suggesting that brain age may not be a vulnerability marker of common genetic risk for SCZ. Future studies with larger samples and multimodal brain age measures could further investigate global or localised effects of SCZ-PRS.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:172

Enthalten in:

Cortex; a journal devoted to the study of the nervous system and behavior - 172(2024) vom: 18. März, Seite 1-13

Sprache:

Englisch

Beteiligte Personen:

Constantinides, Constantinos [VerfasserIn]
Baltramonaityte, Vilte [VerfasserIn]
Caramaschi, Doretta [VerfasserIn]
Han, Laura K M [VerfasserIn]
Lancaster, Thomas M [VerfasserIn]
Zammit, Stanley [VerfasserIn]
Freeman, Tom P [VerfasserIn]
Walton, Esther [VerfasserIn]

Links:

Volltext

Themen:

ALSPAC
Ageing
Brain age
Genetic risk
Journal Article
Schizophrenia

Anmerkungen:

Date Completed 11.03.2024

Date Revised 11.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.cortex.2023.11.015

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366450174