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Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders

Neurodevelopmental disorders have a heritable component and are associated with region specific alterations in brain anatomy. However, it is unclear how genetic risks for neurodevelopmental disorders are translated into spatially patterned brain vulnerabilities. Here, we integrated cortical neuroima...

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Detalles Bibliográficos
Autores principales: Seidlitz, Jakob, Nadig, Ajay, Liu, Siyuan, Bethlehem, Richard A. I., Vértes, Petra E., Morgan, Sarah E., Váša, František, Romero-Garcia, Rafael, Lalonde, François M., Clasen, Liv S., Blumenthal, Jonathan D., Paquola, Casey, Bernhardt, Boris, Wagstyl, Konrad, Polioudakis, Damon, de la Torre-Ubieta, Luis, Geschwind, Daniel H., Han, Joan C., Lee, Nancy R., Murphy, Declan G., Bullmore, Edward T., Raznahan, Armin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335069/
https://www.ncbi.nlm.nih.gov/pubmed/32620757
http://dx.doi.org/10.1038/s41467-020-17051-5
Descripción
Sumario:Neurodevelopmental disorders have a heritable component and are associated with region specific alterations in brain anatomy. However, it is unclear how genetic risks for neurodevelopmental disorders are translated into spatially patterned brain vulnerabilities. Here, we integrated cortical neuroimaging data from patients with neurodevelopmental disorders caused by genomic copy number variations (CNVs) and gene expression data from healthy subjects. For each of the six investigated disorders, we show that spatial patterns of cortical anatomy changes in youth are correlated with cortical spatial expression of CNV genes in neurotypical adults. By transforming normative bulk-tissue cortical expression data into cell-type expression maps, we link anatomical change maps in each analysed disorder to specific cell classes as well as the CNV-region genes they express. Our findings reveal organizing principles that regulate the mapping of genetic risks onto regional brain changes in neurogenetic disorders. Our findings will enable screening for candidate molecular mechanisms from readily available neuroimaging data.