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Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk

Authors :
Alnaes, Dag
Kaufmann, Tobias
van der Meer, Dennis
Cordova-Palomera, Aldo
Rokicki, Jaroslav
Moberget, Torgeir
Bettella, Francesco
Agartz, Ingrid
Barch, Deanna M.
Bertolino, Alessandro
Brandt, Christine L.
Cervenka, Simon
Djurovic, Srdjan
Doan, Nhat Trung
Eisenacher, Sarah
Fatouros-Bergman, Helena
Flyckt, Lena
Di Giorgio, Annabella
Haatveit, Beathe
Jonsson, Erik G.
Kirsch, Peter
Lund, Martina J.
Meyer-Lindenberg, Andreas
Pergola, Giulio
Schwarz, Emanuel
Smeland, Olav B.
Quarto, Tiziana
Zink, Mathias
Andreassen, Ole A.
Westlye, Lars T.
Farde, Lars
Collste, Karin
Victorsson, Pauliina
Engberg, Goran
Erhardt, Sophie
Malmqvist, Anna
Hedberg, Mikael
Orhan, Funda
Sellgren, Carl M.
Schwieler, Lilly
Piehl, Fredrik
Alnaes, Dag
Kaufmann, Tobias
van der Meer, Dennis
Cordova-Palomera, Aldo
Rokicki, Jaroslav
Moberget, Torgeir
Bettella, Francesco
Agartz, Ingrid
Barch, Deanna M.
Bertolino, Alessandro
Brandt, Christine L.
Cervenka, Simon
Djurovic, Srdjan
Doan, Nhat Trung
Eisenacher, Sarah
Fatouros-Bergman, Helena
Flyckt, Lena
Di Giorgio, Annabella
Haatveit, Beathe
Jonsson, Erik G.
Kirsch, Peter
Lund, Martina J.
Meyer-Lindenberg, Andreas
Pergola, Giulio
Schwarz, Emanuel
Smeland, Olav B.
Quarto, Tiziana
Zink, Mathias
Andreassen, Ole A.
Westlye, Lars T.
Farde, Lars
Collste, Karin
Victorsson, Pauliina
Engberg, Goran
Erhardt, Sophie
Malmqvist, Anna
Hedberg, Mikael
Orhan, Funda
Sellgren, Carl M.
Schwieler, Lilly
Piehl, Fredrik
Publication Year :
2019

Abstract

ImportanceBetween-individual variability in brain structure is determined by gene-environment interactions, possibly reflecting differential sensitivity to environmental and genetic perturbations. Magnetic resonance imaging (MRI) studies have revealed thinner cortices and smaller subcortical volumes in patients with schizophrenia. However, group-level comparisons may mask considerable within-group heterogeneity, which has largely remained unnoticed in the literature. ObjectivesTo compare brain structural variability between individuals with schizophrenia and healthy controls and to test whether respective variability reflects the polygenic risk score (PRS) for schizophrenia in an independent sample of healthy controls. Design, Setting, and ParticipantsThis case-control and polygenic risk analysis compared MRI-derived cortical thickness and subcortical volumes between healthy controls and patients with schizophrenia across 16 cohorts and tested for associations between PRS and MRI features in a control cohort from the UK Biobank. Data were collected from October 27, 2004, through April 12, 2018, and analyzed from December 3, 2017, through August 1, 2018. Main Outcomes and MeasuresMean and dispersion parameters were estimated using double generalized linear models. Vertex-wise analysis was used to assess cortical thickness, and regions-of-interest analyses were used to assess total cortical volume, total surface area, and white matter, subcortical, and hippocampal subfield volumes. Follow-up analyses included within-sample analysis, test of robustness of the PRS threshold, population covariates, outlier removal, and control for image quality. ResultsA comparison of 1151 patients with schizophrenia (mean [SD] age,33.8[10.6] years; 68.6% male [n=790] and 31.4% female [n=361]) with 2010 healthy controls (mean [SD] age,32.6[10.4] years; 56.0% male [n=1126] and 44.0% female [n=884]) revealed higher heterogeneity in schizophrenia for cortical thickness and area (t = 3.34)

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1248716450
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1001.jamapsychiatry.2019.0257