RESEARCH ARTICLE
Functional and Genomic Features of Human Genes Mutated in Neuropsychiatric Disorders
Diego A. Forero1, 4, *, Carlos F. Prada2, George Perry3
Article Information
Identifiers and Pagination:
Year: 2016Volume: 10
First Page: 143
Last Page: 148
Publisher ID: TONEUJ-10-143
DOI: 10.2174/1874205X01610010143
Article History:
Received Date: 26/06/2016Revision Received Date: 08/09/2016
Acceptance Date: 16/09/2016
Electronic publication date: 11/11/2016
Collection year: 2016
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
Background:
In recent years, a large number of studies around the world have led to the identification of causal genes for hereditary types of common and rare neurological and psychiatric disorders.
Objective:
To explore the functional and genomic features of known human genes mutated in neuropsychiatric disorders.
Methods:
A systematic search was used to develop a comprehensive catalog of genes mutated in neuropsychiatric disorders (NPD). Functional enrichment and protein-protein interaction analyses were carried out. A false discovery rate approach was used for correction for multiple testing.
Results:
We found several functional categories that are enriched among NPD genes, such as gene ontologies, protein domains, tissue expression, signaling pathways and regulation by brain-expressed miRNAs and transcription factors. Sixty six of those NPD genes are known to be druggable. Several topographic parameters of protein-protein interaction networks and the degree of conservation between orthologous genes were identified as significant among NPD genes.
Conclusion:
These results represent one of the first analyses of enrichment of functional categories of genes known to harbor mutations for NPD. These findings could be useful for a future creation of computational tools for prioritization of novel candidate genes for NPD.
