Functional and Genomic Features of Human Genes Mutated in Neuropsychiatric Disorders



Diego A. Forero1, 4, *, Carlos F. Prada2, George Perry3
1 Laboratory of NeuroPsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
2 Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Universidad del Tolima. Ibagué, Colombia
3 College of Sciences, University of Texas at San Antonio, San Antonio, Texas, USA


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© Forero et al.; Licensee Bentham Open

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.

* Address correspondence to this author at the Laboratory of NeuroPsychiatric Genetics, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia; Tel:+ 57 313 2610427; E-mail: diego.forero@uan.edu.co


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.

Keywords: Biological psychiatry, Brain diseases, Computational biology, Genomics, Neurological disorders, Systems biology.