Abstract：
:MRI is a powerful modality to detect neuroanatomical differences that result from mutations and treatments. Knowing which genes drive these differences is important in understanding etiology, but candidate genes are often difficult to identify. We tested whether spatial gene expression data from the Allen Brain Institute can be used to inform us about genes that cause neuroanatomical differences. For many single-gene-mutation mouse models, we found that affected neuroanatomy was not strongly associated with the spatial expression of the altered gene and there are specific caveats for each model. However, among models with significant neuroanatomical differences from their wildtype controls, the mutated genes had preferential spatial expression in affected neuroanatomy. In mice exposed to environmental enrichment, candidate genes could be identified by a genome-wide search for genes with preferential spatial expression in the altered neuroanatomical regions. These candidates have functions related to learning and plasticity. We demonstrate that spatial gene expression of single-genes is a poor predictor of altered neuroanatomy, but altered neuroanatomy can identify candidate genes responsible for neuroanatomical phenotypes.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Fernandes DJ,Ellegood J,Askalan R,Blakely RD,Dicicco-Bloom E,Egan SE,Osborne LR,Powell CM,Raznahan A,Robins DM,Salter MW,Sengar AS,Veenstra-VanderWeele J,Henkelman RM,Lerch JPdoi
10.1016/j.neuroimage.2017.08.065subject
Has Abstractpub_date
2017-12-01 00:00:00pages
220-230eissn
1053-8119issn
1095-9572pii
S1053-8119(17)30721-8journal_volume
163pub_type
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