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Genetic overlap between cortical brain morphometry and frontotemporal dementia risk.
Diaz-Torres, Santiago; Ogonowski, Natalia; García-Marín, Luis M; Bonham, Luke W; Duran-Aniotz, Claudia; Yokoyama, Jennifer S; Rentería, Miguel E.
Afiliação
  • Diaz-Torres S; Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
  • Ogonowski N; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
  • García-Marín LM; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
  • Bonham LW; Centro de Neurociencias Cognitivas (CNC), Universidad de San Andrés, Buenos Aires, Argentina.
  • Duran-Aniotz C; Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
  • Yokoyama JS; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
  • Rentería ME; Memory and Aging Center, University of California, San Francisco, CA, United States.
Cereb Cortex ; 33(12): 7428-7435, 2023 06 08.
Article em En | MEDLINE | ID: mdl-36813468
ABSTRACT
Frontotemporal dementia (FTD) has a complex genetic etiology, where the precise mechanisms underlying the selective vulnerability of brain regions remain unknown. We leveraged summary-based data from genome-wide association studies (GWAS) and performed LD score regression to estimate pairwise genetic correlations between FTD risk and cortical brain imaging. Then, we isolated specific genomic loci with a shared etiology between FTD and brain structure. We also performed functional annotation, summary-data-based Mendelian randomization for eQTL using human peripheral blood and brain tissue data, and evaluated the gene expression in mice targeted brain regions to better understand the dynamics of the FTD candidate genes. Pairwise genetic correlation estimates between FTD and brain morphology measures were high but not statistically significant. We identified 5 brain regions with a strong genetic correlation (rg > 0.45) with FTD risk. Functional annotation identified 8 protein-coding genes. Building upon these findings, we show in a mouse model of FTD that cortical N-ethylmaleimide sensitive factor (NSF) expression decreases with age. Our results highlight the molecular and genetic overlap between brain morphology and higher risk for FTD, specifically for the right inferior parietal surface area and right medial orbitofrontal cortical thickness. In addition, our findings implicate NSF gene expression in the etiology of FTD.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demência Frontotemporal Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demência Frontotemporal Idioma: En Ano de publicação: 2023 Tipo de documento: Article