scholarly journals Predicting brain-disorder risk genes

2020 ◽  
Vol 17 (5) ◽  
pp. 459-459
Author(s):  
Lin Tang
2020 ◽  
Vol 23 (4) ◽  
pp. 583-593 ◽  
Author(s):  
Nancy Y. A. Sey ◽  
Benxia Hu ◽  
Won Mah ◽  
Harper Fauni ◽  
Jessica Caitlin McAfee ◽  
...  

2017 ◽  
Vol 49 (4) ◽  
pp. 515-526 ◽  
Author(s):  
Holly A F Stessman ◽  
Bo Xiong ◽  
Bradley P Coe ◽  
Tianyun Wang ◽  
Kendra Hoekzema ◽  
...  

2021 ◽  
Author(s):  
Lexis D Kepler ◽  
Troy A McDiarmid ◽  
Catharine H Rankin

Hundreds of genes have been implicated in neurodevelopmental disorders. Previous studies have indicated that some phenotypes caused by decreased developmental function of select risk genes can be reversed by restoring gene function in adulthood. However, very few risk genes have been assessed for adult reversibility. We developed a strategy to rapidly assess the temporal requirements and phenotypic reversibility of neurodevelopmental disorder risk gene orthologs using a conditional protein degradation system and machine vision phenotypic profiling in Caenorhabditis elegans. Using this approach, we measured the effects of degrading and re-expressing orthologs of 3 neurodevelopmental risk genes EBF3, BRN3A, and DYNC1H1 across 30 morphological, locomotor, sensory, and learning phenotypes at multiple timepoints throughout development. We found some degree of phenotypic reversibility was possible for each gene studied. However, the temporal requirements of gene function and degree of phenotypic reversibility varied by gene and phenotype. The data reflects the dynamic nature of gene function and the importance of using multiple time windows of degradation and re-expression to understand the many roles a gene can play over developmental time. This work also demonstrates a strategy of using a high-throughput model system to investigate temporal requirements of gene function across a large number of phenotypes to rapidly prioritize neurodevelopmental disorder genes for re-expression studies in other organisms.


2019 ◽  
Vol 42 ◽  
Author(s):  
Don Ross

AbstractUse of network models to identify causal structure typically blocks reduction across the sciences. Entanglement of mental processes with environmental and intentional relationships, as Borsboom et al. argue, makes reduction of psychology to neuroscience particularly implausible. However, in psychiatry, a mental disorder can involve no brain disorder at all, even when the former crucially depends on aspects of brain structure. Gambling addiction constitutes an example.


2019 ◽  
Vol 25 (4) ◽  
pp. 590-597
Author(s):  
Laura Esteban-Gonzalo ◽  
Juan Luis González-Pascual ◽  
Verónica Cabanas-Sánchez ◽  
Rocío Izquierdo-Gómez ◽  
Oscar L. Veiga

2009 ◽  
Author(s):  
Sue A. Ferguson ◽  
William S. Marras ◽  
W. Gary Allread ◽  
Gregory G. Knapik ◽  
Kimberly A. Vandlen ◽  
...  

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