ORCID Profile
0000-0003-1326-6054
Current Organisations
McGill University
,
Université de Technologie de Belfort-Montbéliard
,
University of Kansas
,
Ecole de technologie superieure
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Publisher: Elsevier BV
Date: 11-2017
Publisher: Springer Science and Business Media LLC
Date: 17-12-2015
Publisher: Springer Science and Business Media LLC
Date: 17-10-2017
DOI: 10.1038/MP.2017.170
Publisher: Springer Science and Business Media LLC
Date: 10-02-2022
DOI: 10.1038/S41380-022-01460-7
Abstract: Brain morphology differs markedly between in iduals with schizophrenia, but the cellular and genetic basis of this heterogeneity is poorly understood. Here, we sought to determine whether cortical thickness (CTh) heterogeneity in schizophrenia relates to interregional variation in distinct neural cell types, as inferred from established gene expression data and person-specific genomic variation. This study comprised 1849 participants in total, including a discovery (140 cases and 1267 controls) and a validation cohort (335 cases and 185 controls). To characterize CTh heterogeneity, normative ranges were established for 34 cortical regions and the extent of deviation from these ranges was measured for each in idual with schizophrenia. CTh deviations were explained by interregional gene expression levels of five out of seven neural cell types examined: (1) astrocytes (2) endothelial cells (3) oligodendrocyte progenitor cells (OPCs) (4) excitatory neurons and (5) inhibitory neurons. Regional alignment between CTh alterations with cell type transcriptional maps distinguished broad patient subtypes, which were validated against genomic data drawn from the same in iduals. In a predominantly neuronal/endothelial subtype (22% of patients), CTh deviations covaried with polygenic risk for schizophrenia (sczPRS) calculated specifically from genes marking neuronal and endothelial cells ( r = −0.40, p = 0.010). Whereas, in a predominantly glia/OPC subtype (43% of patients), CTh deviations covaried with sczPRS calculated from glia and OPC-linked genes ( r = −0.30, p = 0.028). This multi-scale analysis of genomic, transcriptomic, and brain phenotypic data may indicate that CTh heterogeneity in schizophrenia relates to inter-in idual variation in cell-type specific functions. Decomposing heterogeneity in relation to cortical cell types enables prioritization of schizophrenia subsets for future disease modeling efforts.
Publisher: Wiley
Date: 20-11-2015
DOI: 10.1111/JON.12313
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 10-2011
Publisher: Springer Science and Business Media LLC
Date: 24-05-2021
Publisher: Springer Science and Business Media LLC
Date: 16-08-2017
No related grants have been discovered for Sylvain Bouix.